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Welcome to the Sensorium Corporation Blog. Here you can find our latest news, business case studies, and industry insights on artificial intelligence, virtual reality and blockchain.


What Is ChatGPT-4 and How Can You Use It
There’s hardly a hotter topic in tech right now than artificial intelligence, with millions embracing ChatGTP, either out of curiosity or a useful tool to help complete tasks and perform better online searches. There’s no doubt that chatbots have come to play a significant role in modern-day communications, especially as virtual assistants, but AI-powered chatbots are a completely new breed of communicators. They’re exponentially more complex and wildly versatile given their incredible capabilities in understanding natural language, responding quickly, and providing personalized customer support. Among the most advanced AI chatbots is ChatGPT-4. In this article, we will explore what exactly ChatGPT-4 is, how it differs from its predecessor, ChatGPT-3.5, and how you can start using it today. ## What is ChatGPT-4? ChatGPT-4 is an AI-powered chatbot developed by OpenAI, a research organization dedicated to creating advanced artificial intelligence technologies. ChatGPT-4 is based on the Generative Pre-trained Transformer 4 (GPT-4) language model, which is the latest version of the GPT series. The GPT-4 model was trained on a massive amount of text data - as much as a rumored 100 trillion parameters - to help it understand natural language and generate human-like responses. In addition, this chatbot relies on a large multimodal model, accepting image and text inputs while emitting text outputs. ChatGPT-4 is designed to engage in human-like conversations, provide personalized responses, and understand the context of any conversation. It can also be trained to perform a wide range of tasks such as answering questions, summarizing text, generating lines of code and even creating song lyrics.
5 Best AI Chatbots To Know In 2023
Providing quick, personalized, knowledgeable, and proactive online customer support has become a prerequisite for the success of any company. Unsatisfactory support services may result in a bad reputation and lost customers for your business. An AI chatbot, or a chatbot tool, is a digital technology solution mainly used for customer service and delivering promotional or otherwise useful content. Using artificial intelligence technology, an AI chatbot can convincingly replicate a user's chat-based interactions with another human. Initially, businesses had to create a support center, train the employees, and pay their salaries to run the customer support processes. These services were always prone to human errors and communication barriers. Also, human-based customer support services were limited to shift timings and couldn’t be available 24/7. AI allows computer programs to simulate a user conversation with a natural language through messaging applications. More and more brands are now leveraging AI chatbots to provide service to their customers and even market their brands. ## What is a Chatbot Platform? Artificial Intelligence chatbot platforms, or AI chatbot apps, are virtual assistants communicating with people using natural language. A customer will, therefore, not have the sensation of talking to a machine. This is possible thanks to artificial intelligence and pre-set answers designed to simulate a human conversation. Chatbot is derived from combining the two English words “chat” and “robot.” Initially, automated chatbots were available as rule-based chatbots. They were programmed for specific tasks and were limited in functionality. Modern AI chatbots can deliver a human-like conversational experience in an instant messaging style. They can understand user intent and learn different phrasing in which questions are being asked. They use natural language processing (NLP) and machine learning to simulate a user conversation. An AI chatbot platform is nothing more than software based on AI, conceived and designed to answer user questions automatically. ## Main Features of AI Chatbots To Look Out For When deciding on an Artificial Intelligence chatbot technology for your website, check out the main features of the different AI chatbot platforms. This will prevent you from missing out on any important feature your business might require. Modern customers are connected to brands through various channels across the internet and demand instant solutions to their problems. Precisely for this reason, the AI chatbot is mainly used to offer quality customer service. This is advantageous for both businesses and customers. The best AI chatbots also offer mobile apps that can be used to access services. Your chatbot platform should offer unlimited chat history to avoid paying for extra memory. The AI chatbot technology allows companies to cut costs by offering a 24-hour service without hiring extra staff for night shifts. This also helps the companies increase the degree of customer satisfaction and allows consumers to receive the information and support they need quickly and at any time. ## Changing Customer Requirements Customers are now connected to the brands across a number of platforms. This includes the website, social media, and the official app. Therefore, companies must determine how support can be provided across all platforms. In addition to customer care, AI chatbots can help companies in sales processes such as lead generation, telling a story through a storytelling strategy, or supporting the purchasing process for an online shop. To understand what AI chatbots are, you need to think of the Internet, which has accustomed you to a remarkable response speed compared to the past. Thanks to search engines that can provide us with enormous information on all our questions. For this reason, as a user, you might find yourself extremely frustrated when you find yourself immersed in offline processes - often cumbersome - which take away your time and attention. This is enough to explain the AI chatbot phenomenon, which, thanks to the advances in artificial intelligence, makes it possible to communicate with machines and obtain answers, albeit to specific and circumscribed questions. ## Benefits of Artificial Intelligence Chatbots Online AI chatbots are excellent for automating customer support and lead generation tasks. They are mainly designed to provide information or services to customers without human interference. AI allows bots to understand user requests and provide programmed and personalized responses. It is no coincidence that these programs are used to give consumers a high-level service through different communication channels, becoming a precious aid for omnichannel marketing. In summary, it can be said that the most important benefits guaranteed by AI chatbots to customers are essential: Generally, an AI chatbot provides information in FAQs, content regarding products or services, and everything that users can usually acquire from a customer service operator. Using AI chatbots, companies can considerably save the time and costs associated with human resource activities. These efforts can be used to carry out other important activities. Following are some major benefits of using artificial intelligence chatbots for your business: ### Round-the-Clock Availability AI chatbot software is online and available 24/7 and at a very low cost for businesses. In short, it is like always having active customer assistance. Unlike people, once an AI chatbot is installed, it can handle requests at any time of the day. This way, the customer doesn't have to wait for help from a company operator. ### Reduced Costs AI chatbots eliminate the need for manpower during online customer interaction. This is obviously a big plus for companies that get multiple requests simultaneously. In addition to cost savings, businesses can align the AI chatbot with their goals and use it as a means to improve customer conversion. ### Learning and Updating One of the main advantages of using AI-powered chatbots is that they keep self-improving their conversations and interactions through machine learning capability. When hiring a new employee, regular training is required. However, AI chatbots "form" themselves (with some limitations). ### Improved Assistance AI chatbots can handle most of the customer service tasks and independently manage some requests for assistance. AI chatbots can be entrusted with the most common requests, such as the telephone number of the various departments, how to replace a product purchased by mistake, how to make a return, provide delivery status, and other requests that do not require human interaction. Only the most complex requests that require more accurate explanations can be passed on to customer service. By using AI chatbots, businesses can achieve greater automation and efficiency in managing assistance requests, and no customer will be left waiting for answers to trivial questions. Human agents can deal with a limited number of clients simultaneously. This restriction does not exist for AI chatbots, which can handle as many requests as needed at the same time. This is one of the main advantages of using AI chatbots, as no customer is left unattended, and several problems are solved simultaneously. Currently, AI chatbot companies are already working on developing voice AI chatbot services. ### Seamless Transactions AI chatbots can be used to manage simple monetary transactions and provide recommendations. For example, in online booking services, you can ask your customers questions and thus obtain all the information you need to find the best tickets or solutions for them. By allowing customers to book services online independently, you will have satisfied customers and build a good reputation for your business. AI chatbots can effectively manage monotonous banking tasks such as blocking stolen cards, identity verification, and confirmation of transfers. In the future, AI chatbots could also be used in e-commerce platforms to manage the return of goods or the replacement of individual items. Customers may also be able to update or cancel their orders. ### Enhanced Data collection When a customer requests assistance remotely, several formalities are performed to verify the person’s authenticity, such as collecting the main data concerning them. For example, the authorization to manage the account remotely and other additional information such as email and telephone number is verified. An AI chatbot application could be used to speed up the procedure before passing the request to an operator. In this way, the resolution of the problem will be faster, and the operator will immediately have all the main information they need at their disposal. It will allow you to resolve customer queries instantly. ## How To Add an AI Chatbot To Your Website? Simple integration alone is not enough to guarantee the AI chatbot's success on your website. You need to devise a strategy that must be planned to obtain excellent results. You must identify the goals you intend to achieve and the most suitable type of answer to pursue them. If the AI chatbot has to respond to user requests, you must set up responses to satisfy them. This will only be possible if you know your target and its needs. The AI chatbot must be implemented in a larger marketing strategy as it can only prove useful if placed in a well-defined system. If your website is not easily navigable or your social pages are not taken care of, a virtual assistant can provide no added value to your customers. It is therefore advisable to analyze and, if necessary, intervene on these aspects before proceeding with the implementation. The next step will be identifying the most suitable channels for the best performance. You can decide whether to implement the AI bot on your website or instant messaging platforms, such as Facebook Messenger, Apple business chat, and WhatsApp are the most used to date. ### Personalized Customer Journey Design It is necessary to use a personalized customer journey design service, where the processes and priorities of the service are defined. This will allow the service to establish the operating margin of the bot, the tasks it can solve on its own, or when the intervention of a human operator is necessary. Furthermore, a system for monitoring the efficiency of AI ​​customer service must be defined through KPIs that can be analyzed and allow for better performance to be obtained. Furthermore, the evolution of AI must not be missing through the continuous improvement of its interaction ability. One of the paths to pursue is that of emotional analysis, which allows conversational AI to analyze the customer's feelings and emotions from the tone of voice so as to be able to offer a deeper understanding of the request and consequently respond in an increasingly efficient way. ## What Is The Future of AI-powered Chatbots? AI chatbots are expected to revolutionize customer support and be a crucial driver of business success. AI chatbots are constantly updated to provide seamless, realistic, automated conversations. Using conversational AI for customer service opens up various future perspectives that guide toward ever-greater automation of contacts and transactions. AI is helping chatbots, and voice bots reproduce more "human" behavior. You need to focus on a "trained" artificial intelligence algorithm. This will allow you to switch from a responsive to a predictive perspective so as to be able to positively change customer care management and consequently increase the customer's customer experience. In the future, AI chatbot adoption by businesses will likely increase rapidly. ## Best AI Chatbots In 2023 All AI chatbots have the common purpose of automating customer support and sales tasks for you. Below, we will discuss some of the best chatbots you can use for your business. ### Infobip
What Is An AI Chatbot? Top Things You Need To Know
AI chatbots have been thrust into the realm of relevancy with the advent of Open AI's ChatGPT, Google's LaMDA, and multiple other companies trying to keep up with the AI revolution. This begs the question, what exactly is an AI chatbot? And, what are the distinct advantages and disadvantages that chatbot technology brings to various sectors present within society? ## What Is An AI Chatbot? In layman's terms, an AI chatbot is an artificially intelligent program specifically designed to interpret human language, process it, and then output results based on its understanding. Depending on what kind of chatbot it is, these answers can be quite varied. For instance, an AI chatbot platform specifically meant for customer inquiries might not be great at summarizing a letter, but it'll be excellent at customer interactions. Similarly, while OpenAI's ChatGPT might not be able to lodge a complaint, it is excellent at answering more general questions. For instance, while a regular chatbot is constrained to a particular ruleset and cannot go beyond it, an AI bot can contextually understand a question, even if it has never seen it before, and provide a relatively accurate response. As an example, healthcare providers can use AI chatbots to quickly filter out and respond to medical queries based on their urgency. In situations like these, developing a rule based chatbot that can identify injuries based on whether they are critical is nigh impossible. On the other hand, an artificially intelligent chatbot can easily bifurcate between the urgency of a particular medical question based on the sentiments and urgency the user is expressing alongside cross-matching the particular situation with its index of databases and therefore is able to output a relevant response. ## How Do AI Chatbots Work? AI Chatbots use natural language processing (NLP) to interpret input and also generate contextually aware output. Here's how the machine learning algorithm of an AI chatbot works: 1. The AI chatbot picks up contextual input 2. The input is bifurcated into portions and the sentiment, tone, and intent are understood by using natural language understanding (NLU) 3. Now, the input is matched up with its intent and relevant information is fetched from the database 4. Once the information is filtered and fetched, it is presented back to the user as a form of output by using natural language generation (NLG) This particular approach to a chatbot is static in nature. In essence, this model does not improve over time. Therefore, this kind of chatbot is primarily used for customer experience chatbots where the AI chatbot does not necessarily need to accommodate newer information over time. On the other hand, chatbots such as ChatGPT are dynamic in nature. They improve over time and their models are retrained constantly to add more accurate answers, respond to more complex queries, and increase their prevalence of using natural human language. This is achieved with the help of reinforced learning. Each interaction you perform with an AI chatbot stands as an opportunity for improvement for the machine learning algorithm. Depending on whether you are satisfied with the answer, the computer program understands how it could have done better or worse thereby improving human conversation. Besides just reinforced learning, these chatbots have access to the Internet. This also allows them to fetch and process new data from the world wide web and train themselves with it as well. ## What Is The Difference Between Chatbot and AI Chatbot? By definition, an AI chatbot operates on the premise of natural language processing and machine learning whereas a regular chatbot is bound by scripts and pre-programmed commands that help it make a particular decision. In the grander scheme of things, an AI chatbot is far more dynamic, can analyze a lot more data, and can also resolve more complex queries. But, until AI chatbots are perfected, regular chatbots are still widely used and even have some benefits such as them not needing as much processing power compared to an AI chatbots. ## Do All Chatbots Use AI? No, not all chatbots use AI. Depending on their use case, a brand might opt to go for a simple rule based chatbot instead of AI chatbots. Primarily, this is because AI chatbots tend to be more expensive to maintain and operate compared to regular chatbots. Plus, not every brand needs an AI agent to answer queries as they simply fall into a few rule sets which do not require dynamic interaction. For instance, a food delivery service will only have a set number of customer queries that it needs to respond to which may not require the dynamic responses that AI chatbots provide. ## What Are the Benefits of an AI Chatbot? AI Chatbots can be used for a variety of user interactions. And, their beauty is in their versatility. So, they're extremely beneficial for almost all use cases and can act as a wonderful aid for human agents. Here's a look at some of their advantages: - Contextual Understanding: An AI chatbot can understand the urgency and emotion of a certain query and relay it to human agents in a contextually relevant manner improving overall customer experience. - Reduced Overhead: From a company's perspective, the inclusion of artificial intelligence in their workflow can help reduce customer service costs as irrelevant queries can be filtered out and automated responses can be used to answer questions instead of needing human intervention everywhere. - Speed and Responsiveness: The sheer speed at which artificial intelligence chatbots can answer questions and interpret customer data goes a long way in improving customer engagement thanks to conversational AI. - Better Customer Interactions: The usage of AI chatbots also results in better customer interactions as agents will already be aware of the gravity of a certain situation as it will already be filtered through AI. So, situations that require human intervention can be dealt with accordingly with the help of machine learning. - Adaptability and Training: Once an AI chatbot understands your workflow, it can easily adapt to other sectors that it may not have been originally intended for. So, whether it is lead generation, human resources, scheduling appointments, or manning phone lines, artificial intelligence chatbots will be able to easily assimilate to any situation. - Constant Availability: AI chatbots have zero downtime and are available 24/7. So, whether your customer is using mobile apps to reach your brand or with a website, a small business can easily integrate AI chatbots and can have their queries answered via conversational AI at any time. All in all, chatbots have turned into a pivotal tool for enterprises. They make it much easier to answer hordes of outstanding customer inquiries and eliminate tedious, manual labor for human agents. However, it is important to understand that natural language processing is not an alternative to actual human interaction. While customer experiences have certainly been improved with the addendum of AI chatbots, they still are a far cry from an actual human's ability to perceive nuance and provide an accurate response. So, while some customer questions might be answered by AI technology, the true key to having a large sum of satisfied customers is to create a hybrid mix between virtual agents and AI driven chatbots to ensure that your customer journey is smooth for everyone. However, you, as a manager will have to make the decision in deciding what sort of framework works best for you based on user input and the current state of AI bots. If your user's intent isn't really grasped by AI, your customer support experience will largely be defined by virtual human agents. However, if you've seen great success with rule based chatbots or have less tedious queries, you'll be able to offload more of your customer questions from virtual assistants to an AI bot instead. ## Are AI Chatbots Important? AI Chatbots are extremely important in improving customer support and are generally used in messaging apps by various brands to improve their efficacy of answering questions quickly and accurately. While these software programs can vary in complexity and design, they all have one primary purpose, to improve customer experience as much as possible. Because of this, while businesses may not completely switch to virtual artificial intelligence any time soon, having your own chatbot in an enterprise setting can prove to be extremely beneficial for all industrial sectors.
15 Top Things You Can Do With ChatGPT
Artificial Intelligence (AI) has been making in-roads into more and more areas of our day-to-day lives in recent years, but the arrival of ChatGPT has made more waves than any of its predecessors. Before now, AI has missed the mark in many ways. From robotic-sounding, repetitive text to AI self-portraits that give humans more teeth and fingers than we care to ever see again, AI has struggled to sound authentically human. ChatGPT has, however, changed the game. But what exactly can you do with ChatGPT? In this blog post, we’ll be exploring 15 things you can do with ChatGPT to optimize your workflow, increase productivity and much more. ## What is ChatGPT? You’ve probably heard about it in passing but if you’re not entirely sure what it’s all about, let’s fill you in. ChatGPT is a revolutionary natural language processing (NLP) chatbot created by OpenAI. It uses the latest advancements in artificial intelligence to generate conversations that sound more human-like than other chatbots. It can answer questions on almost any topic whether it be math, science or philosophy by gathering data and presenting it in a conversational style. The goal of ChatGPT is to create an AI-driven conversational experience for customers and businesses. ## How To Download ChatGPT With an app in the works, at present there is no official ChatGPT app so if you find any in your app store, consider them fakes. You can access ChatGPT via their website for free or download the files from GitHub. You can add the webpage as a shortcut on your browser so it is quick to access ChatGPT every time you need it. ## How To Use ChatGPT ChatGPT has a textbox where you can type in your query. At present, the system works better when you input a statement as opposed to a question. For example, instead of asking ChatGPT, ‘How is wine made?’ you can instead input, ‘Explain how wine is made.’ This seems to produce a more detailed response. ## Real-World Use Cases of ChatGPT Now that you’re up to speed, it’s time to dive into how ChatGPT can help you stream processes in your business and personal life. ### 1. Write a Cover Letter Whether you’re a freelancer or currently on the hunt for your next big career move, applying for jobs can be a tiring process. It is exhausting and time-consuming compiling a new cover letter for every job you apply for. Enter ChatGPT, your new best friend to automate the task of writing tedious cover letters for your job applications! ### 2. Compile an Essay We’ve all been there…tomorrow morning that paper on Shakespeare is due and you’re yet to put pen to paper. You know you’re not going to finish it by class even if you work all night so either you fake a life-threatening illness or accept your grade is going to take a serious knock. With ChatGPT, there is in fact a 3rd option! While the jury is still out on the ethics of using ChatGPT to write essays (because let’s be honest…who’s getting graded, you or the AI?), instead of copy-pasting an entire AI-generated essay, you can use it as your research assistant. ### 3. Solve Coding Errors As a developer, there is very little that’s more frustrating than encountering a coding error you just can’t crack. The website is giving the blank screen of death, the client is angry and you’re scratching your head looking for answers. You can in fact show ChatGPT the error you’re encountering and it can successfully help you get down to the root of the problem. Of course, the accuracy of the answer is reliant on how well you prompt the bot but with enough context, developers have been able to quickly sort out coding issues thanks to ChatGPT. ### 4. Explain Topics in Layman’s Terms If you’ve got to unpack a complex topic where there are a lot of technical terms and industry-specific jargon, it can feel like you’re reading Greek and be totally overwhelming for even the freshest of minds. ChatGPT can help you by explaining complex topics and terms in simple terms to help you get to grips with scientific theories, legal terminology and more a whole lot faster. So how exactly can you prompt ChatGPT to come up with the answers you need in this case? Try a prompt like, ‘Explain the theorem of pythagoras like I am 8 years old.’ You wouldn’t believe the mind-blowingly simplified answers ChatGPT is able to produce based on these kinds of questions. ### 5. Solve Mathematical Equations and Problems Boy do we wish ChatGPT was around when we were doing 12th grade algebra. ChatGPT can help you solve math problems by providing step-by-step explanations and solutions. It can easily understand your input and provide accurate, detailed answers that you can use to better understand the problem and get it solved quickly. ### 6. Be Your Very Own Agony Aunt Whether a friend or lover has let you down, sometimes you wish you could get some impartial advice without having to pay your therapist a couple hundred bucks to agree with you that the person is a toxic dumpster fire. Well, say hello to your free therapist because you guessed it, ChatGPT can in fact give some pretty solid relationship advice! You’ll notice when you ask ChatGPT a question, it’ll often try to get more context or information back from you in initial responses. By asking questions about what people experience in their own relationships, ChatGPT can get an understanding of the dynamics at play and use its knowledge base to recommend solutions or strategies for improvement. The more users interact with ChatGPT, the better it will become at giving personalized advice tailored to each individual's particular situation. So next time you’re frustrated that your partner is spending too much time on TikTok, ask ChatGPT how to ask them to have a little less screen time in a healthy way. ### 7. Generate Code Say you work with website builders but the client throws a spanner in the works and wants something done outside your scope of work. ChatGPT can generate all kinds of code that you can then paste into your website to extend its functionality. Say you need code to make the burger menu flash periodically. If you say to ChatGPT, ‘I need you to write CSS code to make the burger menu on my website flash every 3 seconds,’ it can do that no problem AND 9 times out of 10, the code works perfectly. This can also be a great way to extend your own skills and knowledge by learning more about coding without paying for expensive courses.
### 8. Explain Concepts In Specific Ways 8 hours chained to a desk can feel like forever so even if the subject matter you’re dealing with is serious at its core, you’re still allowed to have a little fun. Suppose you need to better understand the various factors to work out a life insurance premium. You can ask ChatGPT to explain the concept like Arnold Schwarzenegger or Tony Soprano and be prepared for some LOLS. ### 9. Get Bright Ideas There’s a lot going on in our everyday lives and sometimes those creative juices just aren’t flowing anymore. So when you need to get creative but have run out of bright ideas, where do you turn? ChatGPT can be used as your brainstorming partner and help you come up with ideas for everything from party themes to playlists. Stumped about what to get your fussy partner for his birthday? Ask ChatGPT and get a list of helpful ideas that you can totally take credit for and wow your partner with your originality! ### 10. Generate Documents If you need to come up with a document for your business, you know how time consuming this can be. ChatGPT is smart enough to write all kinds of business documents from onboarding letters to disclaimers and waivers, so, if you need a document drafted up fast, you can rely on ChatGPT to deliver the goods. ### 11. Write Better Emails When your boss invites you to a 6pm meeting on a Friday afternoon for the 3rd time this month, your first response will be to fling your computer out the window and storm right out of the office. But obviously you need your job, so that’s not on the cards. ChatGPT isn’t nearly as heated as you are so it can help you formulate a response as to why you will be unable to attend the meeting. You could prompt, ‘Write a polite and persuasive reason as to why I cannot attend a meeting outside of my contractual work hours.’ This way, you can shoot off a professional response that will likely be well-received rather than some sarcastic or cheeky reply that could land you in hot water. ### 12. Compare Cryptocurrencies and Blockchain Technology We know the crypto market is a little upside down at the moment but it’ll soon be rising from the ashes so if you’re not clued up on crypto just yet, use ChatGPT as your educational instructor. It can explain everything you need to know about all the most popular cryptocurrencies or blockchain projects and compare their features to help you decide where you want to invest. You cannot ask ChatGPT for the current Bitcoin value, however, as an example, because it will only have been trained up to a specific date so cannot provide real-time answers just yet. ### 13. Summarize Ideas You know that 100-page document your boss needs you to read by Monday? Yeah, we’re not excited about spending the weekend up to our elbows in wordy documents either. There is a way to save tons of time and your sanity by feeding each section through to ChatGPT and asking it to summarize each section with the most pertinent points that were covered. This way you don’t need to sift through all the fluff, you get straight to the bones of the topic and get up to speed much faster. You can take it a step further for each section by asking ChatGPT to help you come up with suggestions or comments based on the main points. Promotion here we come! ### 14. Write Poetry If you’re trying to woo a love interest, a romantic poem is always a safe bet. However if your poetry writing skills never progressed past 3rd grade English class, it can end up being more cringe than cute. ChatGPT is surprisingly good at writing poetry so you can give it any kind of prompts you fancy in order for it to generate a poem that will win the heart of your beloved! ### 15. Generate Customer Service Responses As a business, there are plenty of touchpoints where your customers will engage with your business. They may leave you a review on Google My Business or ask a question on Facebook, so you need to be armed with professional, appropriate answers at all terms to provide the best customer service possible. ChatGPT can help you generate templates for standardized responses so your customer service team is always putting out consistent information timeously that makes your business come across as trustworthy, caring and on the ball. ## Final Thoughts ChatGPT is sure to revolutionize the way we do everything from school essays to online interactions with customers and even self-improvement. While it is not always completely accurate, as with any AI bot or NLP system, the ratio of accurate results to false is negligible. Because ChatGPT is not connected to the internet or search engines, it cannot provide real-time information, such as, ‘How many days until Christmas?’ But for accurate information and sorting through masses of data, ChatGPT can provide surprisingly structured responses. So make ChatGPT your new best friend and life may just get easier with a little help from your AI friend.
Best AI Tokens To Invest In 2023
The convergence of two era-defining tech innovations has shaken the digital economy. The emergence of ChatGPT and Microsoft’s interest in it, with a whopping $10 billion investment, has driven worldwide interest in AI cryptocurrencies. As a result, more innovative AI crypto projects are becoming mainstream with real-life applications. These AI crypto projects are improving the scalability and efficiency of digital operations within the blockchain space. From providing AI infrastructure and AI-driven data sharing to creating an artificial intelligence-focused marketplace, these crypto projects are facilitating in deploying AI solutions and services. The advancement of AI crypto is influencing the market cap and trading volume of several AI crypto tokens. Since the launch of ChatGPT, 90 percent of AI tokens have exhibited positive abnormal returns. This guide will discuss the best AI tokens to buy in 2023 based on their performance and recent developments. ## 9 Best AI tokens To Invest In 2023
### FET
The Metaverse and Generative AI
Despite being decade’s old, VR and AI are in the midst of a full-throttled renaissance as interest for these technologies surges to high - and then even higher - peaks, seemingly by the day. Helping carry much of the hype has been the growing popularity of AI chatbots like ChatGTP and Bing, alongside VR-based games such as Beat Saber and Half-Life. All the while, tech titans remain locked in a hotly-contested race for metaverse domination, hoping to be the first to create sprawling immersive and realistic virtual worlds where users can engage in a variety of activities using digital doppelgangers (avatars). A quick glance at some of the proto-metaverses available, however, reveals a somewhat underwhelming exploration of barren and cartoonish virtual spaces, apparently devoid of all the futuristic experiences we’ve been promised. But with the field of generative AI rapidly evolving, change is just around the corner. Today, we are taking a closer look at the metaverse and exploring the role of generative artificial intelligence in shaping this new technological frontier. ## What Is The Metaverse Let’s cover our basics first and start by defining the metaverse, a notoriously vague term. The concept of the metaverse was first introduced by science fiction author Neal Stephenson in his 1992 novel Snow Crash. In the book, the metaverse was a shared virtual space where people could interact with one another in a fully immersive manner. Since then, the idea has been explored in various forms of media, including sci-fi movies, video games, and TV shows. In recent years, however, the metaverse has become more than just a topic for science fiction productions; with the advent of virtual reality and other immersive technologies, the metaverse is now becoming a reality. Companies like Meta, Microsoft, and others are investing heavily in the development of the metaverse, recognizing its potential to be the next big thing in digital development. As we see it today, the metaverse is essentially a shared virtual space that allows people to interact with one another in a way that feels natural, regardless of their physical location. In other words, it is a virtual world that is designed to be as immersive and engaging as the real world. One of the key aspects of the metaverse is its ability to facilitate social interaction. People can interact with one another in a variety of ways, such as attending virtual events, playing games, and even exploring virtual worlds together. This social aspect of the metaverse is one of its most appealing features, as it allows people to connect with others in a way that is not possible through traditional forms of media. Another key aspect of the metaverse is its ability to create new forms of content. In the metaverse, anything is possible. People can create their own virtual worlds, design their own avatars, and even program their own virtual experiences. This opens up a whole new world of possibilities for creators, as they can now design content that is not limited by the physical world.
What are AI Tokens? A Guide For Beginners
Artificial intelligence is rapidly sprawling and now, its applications have stretched out to blockchain technology as well. AI tokens are the convergence of artificial intelligence and cryptocurrency. These AI tokens help drive scalability, user experience, security, and other factors, using artificial intelligence. Moreover, AI can be trained further to automate everything, from identifying growth opportunities to detecting illicit activities. AI tokens are getting great buzz in the crypto market and the latest trends are setting off a buying frenzy for these digital tokens. Is this new crypto trend a great opportunity for growth or just hype with no future? For this, you need to know its working, market scope, and several use cases to evaluate its performance in the long run. ## Understanding How AI Tokens Work AI is a rapidly growing field and has the potential to change the way we work or interact with each other. It has provided a tremendous platform for developers to build and design AI applications in ways that increase efficiency and create a transparent system. These AI benefits have served many industries as it’s not limited to crypto. AI based tokens are digital assets that help users get access to AI technology. You use these tokens as currencies on blockchain to pay for AI services and Artificial generation projects. In a way, Sensorium's native token SENSO falls under this category. While the AI engine behind the digital beings of the Sensorium Galaxy metaverse is currently free for users, advanced AI features will eventually be paid with our ecosystem's token. They may include AI-based investment protocols, image generation or text generation services, decentralized marketplaces or exchanges, etc. However, AI crypto is a broad term that can cater to a multitude of services. Some AI tokens help create a virtual platform to buy and sell AI algorithms while others perform particular applications like making predictions and parsing big data on the blockchain. We can also expect AI metaverse crypto projects to create a more dynamic virtual space. The high flexibility in AI cryptocurrency can enable a myriad of potential use cases. For instance, Fetch.ai offers an autonomous economic agent that can cater to anything, ranging from booking a hotel room to trading crypto. ## Main Drivers Behind AI Tokens’ Popularity AI tokens are surging because of interesting trends that grab the attention of people. AI tokens were the hot topic of discussion in the crypto world and it was not sure if this was just a sensation or a great once-in-a-lifetime investment. However, the successful public launch of a chatbot ChatGPT has given a tremendous surge to AI cryptocurrency. This reflects that AI cryptocurrency is not going anywhere soon. This language model chatbot, launched in November 2022 is developed by OpenAI. It has exceptional interactive conversation dialogue and has a multitude of language-related AI crypto projects, such as information processing, answering queries, and more. The responses are surprising humans, which has sparked interest in people about this new chatbot. Since the launch of ChatGPT, everyone is talking about it and has taken the internet by storm. OpenAI is also famous for developing DALL.E, which is a deep learning model that creates images from text instructions, referred to as prompts. This is also a contributing factor to the popularity of AI based tokens. Perhaps, the popularity of ChatGPT is going to influence cryptocurrency as Tron blockchain has announced its integration with ChatGPT for a decentralized payment framework. Moreover, this sudden popularity of ChatGPT has convinced crypto investors as well as outsiders to invest in these rapidly flourishing AI cryptocurrencies. Microsoft has recently invested $10 billion in the developer of ChatGPT, OpenAI at a $29 billion valuation. ## Market Size of AI Crypto AI tokens are in the nascent stage and the utility of these AI tokens is still to be tested properly. The market value of AI tokens was $1.6 billion in early days of February, 2023. According to Forbes, AI cryptos have reached a $4.27 billion market cap. Although this is only 0.4% of the total crypto market which is $1.07 trillion, the major spike in AI tokens and many AI based projects has called attention to the functions of AI in crypto platforms. The end of 2022 and the start of the new year has seen a major increase in AI-related cryptos. Fetch.ai, which has rewarded people with autonomous agents, has gained almost 200% since the beginning of 2023. Cryptocurrency investors are piling into AI cryptocurrency in response to these compelling statistics. ## Distinguishable Features of AI crypto Tokens AI crypto tokens improve the scalability, security, and user experience in crypto space. They contain in-built decentralization and security as well as the potential to add new features and use cases in the future. AI tokens boast the following features: ### Use-case Specific AI tokens are use case specific, for instance, Artificial Liquid Intelligence (ALI) token is used to generate and upgrade AI character NFTs. Similarly, the Numeraire (NMR) token helps in making predictions as well as managing investments. ### Threat Detection Artificial intelligence helps detect fraud. Therefore, if any buggy project-specific smart contract is associated with token spending, it can be addressed beforehand. Moreover, AI’s threat detection feature makes the associated ecosystem less susceptible to hacks. ### Fewer manipulations AI cryptos, released to the project and founders, use effective training data to develop a platform or system. ### Low Risk of Market Bearishiness They are less susceptible to broader market bearishness as the popular sentiments of top artificial intelligence keep pushing these downfalls away. Some AI tokens have highly exclusive and network-specific features while others are quite relatable. ## Use Cases of Some AI projects Artificial intelligence has automated many aspects of our life, from improving scalability to providing security. It is not about robots that we often see in SciFi flicks, rather it spans content creation, artwork, fraud detection, pattern identification, and more. These use cases make AI an exceptional blockchain compatriot. Where blockchain is an immutable ledger technology in a virtual platform focused on transparency, AI equips this transparency with security, automation, and ease of mind. AI crypto projects drive specific use cases to help people utilize artificial intelligence in their systems, such as: ### Numerai: AI-Focused Portfolio Management
What is Artificial Intelligence? A Quick and Easy Intro To AI
Can machines think? Alan Turing, the father of computer science, presented this question in 1950, before the mainstreaming of artificial intelligence (AI) was even on the horizon. Only in the late 1990s did AI start to flourish, building up to the boom we are witnessing today worldwide. Artificial intelligence is no longer some make-believe system in a science fiction movie. We encounter AI in our everyday life. From our Netflix recommendations to that customer service "person" we thought we were chatting to, AI is everywhere you look. In fact, the global artificial intelligence market is valued at over 136 billion dollars and is projected to increase by over 13x over the next eight years. Why is that? The amount of data generated today by humans and machines goes beyond our human ability. Artificial intelligence systems, on the other hand, are able to make complex decisions based on this vast data without facing our challenges. AI does not sleep nor eat; it is available 24/7 without interruption (if we humans program it correctly). However, as we all know, AI is not without its flaws. From ethical considerations such as gender and racial bias to the rise in unemployment, understanding AI requires grasping all its facets. ## What Is Artificial Intelligence? A buzzword in the tech industry, the term artificial intelligence (AI) is often left undefined. The average Joe and Jane are left guessing what AI actually means. Simply put, AI is a computer or system's ability to mimic human intelligence to perform tasks. Similarly to humans, AI regularly collects information to improve its ability to perform given tasks. In most cases, artificial intelligence systems look at large amounts of training data, analyze it for patterns, and then use it to make predictions. This is a simple definition, but it gets more complex as many disagree on the correct definition. This feud is mainly split into two definitions, developed by Stuart Russell and Peter Norvig in their book "Artificial Intelligence: A Modern Approach." They call it the human vs. ideal approach. To some, AI systems think and act like the human brain. To others, AI systems think and act rationally. Whichever definition you prefer, the consensus is that there are three main skills inherent to AI: - Learning processes: The AI focuses on acquiring data and creating algorithms that provide devices with instructions on how to complete a task. - Reasoning processes: The AI chooses the right algorithm to reach its goal. - Self-correction processes: The AI improves its algorithms to make sure they provide the most accurate results. Moreover, while AI is mostly used, in many cases, it is just an umbrella term. Modern AI includes various sub-fields of machine learning and deep learning. We will get into this later on. ## Why is Artificial Intelligence Important? AI is an important tool for virtually all modern organizations. The amount of data generated today goes beyond human ability. It would be near impossible to collect and make decisions based on the data available today with human labor alone. AI systems offer efficient automation that humans cannot replicate. AI allows organizations to automate a repetitive task that was previously done manually. Unlike humans, AI does not get tired or bored. AI also analyzes data in a much faster time frame than humans and finds patterns that even experts could miss. By taking over repetitive or even dangerous tasks, AI frees up the workforce to work on the tasks that were built for humans. AI might arguably not necessarily replace them but leave the tasks that require empathy and creativity to humans. But why does this matter? Because AI is all around us and has proved successful at improving industries, many of which have a real impact on society. For example, AI has already dramatically impacted healthcare worldwide. From reducing operating costs to aiding in personalized treatment and increasing access to information across medical services, AI has life-changing impacts. ## Understanding the Pros and Cons of AI AI technologies are not always sunshine and rainbows. While AI has undoubtedly changed society as we know it, it is not without flaws. Let's take a look at the pros and cons of AI. ## Advantages of artificial intelligence
### Without human error A computer does not make a mistake if it is programmed correctly. AI is not a victim of human error. Humans regularly make mistakes due to fatigue, distraction, or lack of experience. AI analyzes impossibly large amounts of data, identifies patterns, and makes complex decisions based on such patterns. This process is so meticulous that the risk of errors is reduced, and the chance of accuracy increases. Humans performing such tasks would inevitably have errors. We are naturally prone to making mistakes, but these can have large impacts in the workplace, for example, in the realm of cybersecurity. ### 24/7 Availability We need sleep, fuel, water, bathroom breaks; the list goes on. These routines are what make us human - and keep us alive. In reality, our brains are not built to focus for more than 45 minutes before starting to lose steam. An AI, on the other hand, is always ready to go. It is available 24 hours a day, seven days a week. As messed up as it sounds, an AI doesn't take a vacation or a sick day. Its productivity does not compare to a human's, highlighting how it is such a useful tool in an organization. ### Automation An AI loves repetition. We humans, not so much. Repetitive tasks become tedious over time and leave us with the sense that we are not reaching our full potential. AI is thus an advantageous way to automate repetition, freeing the workforce to focus on fulfilling work that involves uniquely human skills. For example, you would never want an AI as a therapist, as this job requires empathy. However, automating the repetitive tasks at a psychologist's practice would benefit all. By automating email responses, appointment bookings, medical paperwork, and more, a therapist would have more time to spend on their patients. ## Takes on dangerous tasks For some reason, AI tackling dangerous tasks is less discussed than other advantages. An AI can minimize risks in society and take on tasks that would prove hazardous and even deadly to humans. From defusing a bomb to entering a volcano, AI robots save humans from dangerous jobs every day. Other jobs are less dangerous but still risky to human health, such as waste management, mine exploration, and more. ## Disadvantages of artificial intelligence
### Reduces employment This is the #1 argument used to criticize AI. AI will inevitably replace traditional jobs, leading to unemployment. Companies are constantly looking to increase their efficiency and are figuring out that automation is the way to do so. While a company might benefit from AI, we must also consider - at what cost? A two-year study from McKinsey Global Institute found that in 2030, AI could eliminate as much as 30% of the world's human labor. However, many argue that these jobs were not good ones in the first place but rather repetitive and boring work. This way, the workforce can focus on work that is fulfilling, creative, and challenging. ### Ethical concerns On top of unemployment issues, there are real ethical concerns surrounding AI. One of these is AI bias, as these systems cannot be trusted to be neutral. Why is that? Because AI is created by biased humans. Computer scientist Joy Buolamwini's research uncovered large gender and racial bias in AI systems sold by IBM, Microsoft, Amazon, and other tech giants. The researcher argues that machine learning systems amplify "sexist hiring practicing" and "racist criminal justice procedures". Other ethical concerns arise surrounding the impact of AI on human interaction, cybersecurity, disinformation, and mass surveillance. ### Hight Cost AI does not come cheap. Creating AI systems requires huge costs, as well as updating the hardware and software regularly to meet requirements. Maintenance can also be expensive and, at times, an unexpected cost. However, the overall cost of AI depends on various factors. The type of software, the level of intelligence, the type of data fed into the system, and the algorithm accuracy will all impact the expense. ### Lack of creativity A key drawback of AI is its inability to be creative and innovative. AI cannot think outside the box. It is engineered to make decisions based on patterns in data. While it is highly intelligent, it cannot employ a creative approach to an issue. In this way, human intelligence is valuable and irreplaceable. Likewise to creativity, AI does not factor in emotions. Rather, AI is highly rational, and creating human connections is not its focus. While Emotional AI is developing, these systems are currently only processing and replicating human emotions rather than genuinely expressing emotion and empathy. ## Four Types of AI There are four distinctive types of artificial intelligence under the current classification system: reactive machines, limited memory, theory of mind, and self-awareness. Keep in mind that some of these have never been achieved and likely never will. ### Reactive machines Reactive AI is the most basic AI type performing basic operations with no learning involved or a conception of the past or future. It is programmed to obtain a predictable output based on an input. Reactive machines will respond to the same situation in the same way, every single time. They might sound dull, but these are reliable. An example of a reactive AI is a chess game, such as IBM's chess-playing computer Deep Blue. Deep Blue can choose the best chess move to win a game, but it cannot predict its opponent's moves. Other reactive machines include an email spam filter and Netflix recommendations. ### Limited memory Limited memory AI is the most used artificial intelligence technology used today. Unlike reactive AI, it learns from the past by storing previous data and using it to make better predictions. The data is historical and observational and is used in combination with pre-programmed information to make predictions. Limited memory AI is always present in every machine learning model, although ML can also be used as a reactive machine type. A well-known example seen today are self driving cars. These cars store data, including the speed of nearby vehicles, the distance of other cars, speed limits, and more. Using both this observational and pre-programmed knowledge, these limited memory AIs detect changes and patterns around them to adjust their driving. ### Theory of Mind A key criticism (or praise) of artificial intelligence is that AI cannot express and understand the emotions, desires, and beliefs of itself and others. This is exclusive to human intelligence and social interaction. However, one of the classifications of IA is the Theory of Mind. Although this type of IA does not yet exist, it would entail understanding that humans have thoughts, feelings, and emotions. The IA would then respond accordingly with emotional intelligence in mind. You might think this is already possible. Voice assistants like Siri show similar skills, but this is a one-way relationship. Siri does not really understand your own emotions, nor her own. For example, a self-driving car will likely never be able to understand the mental state of a driver or pedestrian to make predictions. It can only understand observational data such as speed limits and the actions of other vehicles. ### Self-awareness Think of it this way - self-awareness is when AI reaches enlightenment. AI becomes self-aware. This last classification feeds into the fear of most people, one only seen in science fiction movies. AI becomes aware of its own existence, reaching an independent intelligence that could become a threat to humanity. If self-awareness is achieved, AI will have desires, needs, and emotions, likewise to us. How will AI feel toward humans? ## Additional AI classifications There are three additional AI classifications: weak AI, strong AI, and super AI. ### Weak AI Also known as narrow AI or artificial narrow AI, weak AI is the most common of the three types. Weak AI focuses on doing one task very successfully by acting upon the rules imposed on it. It does not go beyond these rules. Rather than replicate human behavior, it is built to simulate human behavior. Weak AI's purpose is not to match human intelligence processes but is still highly intelligent at performing tasks. Virtual personal assistants such as Siri use weak AI, with the internet as a large database. Siri might be able to answer your questions and engage in a few funny remarks, but it still operates within limited rules. Siri cannot engage in conversations that it is not programmed to. Characters in a computer game are also weak AI. While they act within the context of their game, they cannot go beyond their game character. ### Strong AI Strong AI, also known as artificial general intelligence, goes beyond the imposed rules. It replicates the cognitive abilities of human beings. When an unknown task is provided, strong AI tries to apply knowledge from another subject to find a solution. Our human brain works this way. However, sorry to disappoint, strong AI only exists in theory. A strong AI would do what any human being is capable of, such as consciousness. ### Superintelligence Artificial superintelligence, known as super AI, is a form of AI that surpasses human intelligence. This AI has independent cognitive skills, emotional intelligence, desires, beliefs, consciousness, and more. Superintelligence AI surpasses the intelligence of all humans, including geniuses such as the father of computer science himself, Alan Turing. You've guessed it, super AI has also not been achieved. It is once again a theoretical possibility rather than a reality. Most AI development today focuses on achieving strong AI rather than superintelligence, as computer science has not yet reached such a point. Many theorists also caution against superintelligence, stating that AI surpassing human intelligence could threaten humanity. ## Machine learning vs Deep learning: What's the difference? When talking about AI, the terms machine learning and deep learning are regularly thrown around. There are key differences between the two, and their relationship is important to understand to have a larger grasp of the AI sphere. ### Machine learning Machine learning is a sub-field of artificial intelligence that allows a system to learn and improve from data using algorithms to perform a task without being explicitly programmed to do so. Instead of being programmed to do this, machine learning recognizes patterns in data so that predictions can be made once new data arrives. Simply put, machine learning is the practice of training an AI algorithm to make better predictions. ### Deep learning On the other hand, deep learning is a sub-field of machine learning that developed from this field. This is the practice of training an AI algorithm to make human-like decisions. Deep learning's main concept is to replicate the human brain's neural networks with artificial neural networks (ANN). Algorithms are created like in machine learning, but there are a lot more levels of algorithms creating these networks. While machine learning models consist of thousands of data points, deep learning engages with Big Data, millions of data points. Despite their differences, their relationship is important. Machine learning is an evolution of artificial intelligence, while deep learning is an evolution of machine learning. ## History of Artificial Intelligence While artificial intelligence has been booming in the last decade, the second half of the 20th century is arguably one of the most important times in AI history. One could argue its history began as far back as 250 BC with Ctesibius' water clock, but we'll keep it simple by starting in the 1950s. ### 1950s: Term AI coined & first programs Known as the father of computer science, Alan Turing published Computing Machinery and Intelligence in 1950. He proposed his answer to the great question "can machines think?" through the Turing Test. Later on, John McCarthy coined the term at the first AI conference at Dartmouth College in 1965. That same year, a computer program called Logic Theorist was released, written by Newel, Simon, and Shaw. Known as the first AI program, it was the first of its kind to perform automated reasoning. In 1957, machine learning arose. Known as the Perceptron, the first computer based on a neural network that learns through trial and error was developed by Frank Rosenblatt. In 1958, the man who coined the term AI, John McCarthy developed the programming language Lisp. At the time, it became the most used language for artificial intelligence research. ### 1960s: First industrial robot & first chatbox In 1961, the Unimate was the world's first industrial robot used in a General Motors plant in New Jersey. A hydraulic manipulator arm, Unimate could perform repetitive tasks and helped automate the operation of machinery. In 1965, Joseph Weizenbaum developed ELIZA at the MIT Artificial Intelligence Laboratory, a natural language processing computer program that resembles today's chatbots. He wanted to show the superficiality of communication between human and machine, but many saw human-like characteristics in ELIZA. ### 1970s - 1980s: AI Winters The 1970s saw a dark time for IA research. In 1973, James Lighthill's report to the British Science Research Council criticized the lack of progress in AI research. This led the government to reduce its support for artificial intelligence research and corporations soon followed. The period from 1974 to 1980 is known as the first "AI Winter" where there was little research and progress. Starting in the early 1980s, AI research was back, primarily on deep learning techniques and Feigenbaum's expert systems. However, this didn't last long, as the second AI winter fastly arrived and lasted until the mid-1990s. ### Late 1990s until today The late 1990s then paved the way to AI as we know it. An increase in computational power and data sparked an AI boom that is still present today. In 1997, IBM's Deep Blue, a chess computer, beat then world champion Garry Kasparov in a match. That same year, Jürgen Schmidhuber and Sepp Hochreiter released Long Short-Term Memory, a type of recurrent neural network that is used today in speech recognition. Throughout the 2000s, more advancements are made. In 2009, Google starts developing a driverless car, and in 2011, Siri became available. Perhaps one of the largest events happened in 2016 when Hanson Robotics showcased Sophia, a humanoid AI robot. ## What Are the Applications of AI? The applications of AI are endless. Artificial intelligence can be applied to every sector, throughout both industry and academia. Here are 7 applications of artificial intelligence seen today. ### Financial institutions AI has become a large part of the mainstream finance and banking industry. A majority of financial service companies say they have implemented AI in risk management (56%) and revenue generation (52%), reports Insider. Financial institutions, particularly banks, use AI to enhance the customer experience through 24/7 customer service options, improve digital banking, and more. Fraud prevention is an integral piece of the pie, with machine learning being used to detect fraudulent transactions. Moreover, algorithmic trading has been developed. This involves using AI systems to make trading decisions at speeds unthinkable to humans. Banks and funds own entire portfolios that are managed by AI and generate high-frequency trading. ### Science The field of science is vast and one that artificial intelligence can be widely applied. In the field of chemistry, machine learning AI has been used for drug design in predicting molecular properties and observing chemical reactions. Machine learning has been used for drug discovery and development, as well as improving clinical trials. AI is also highly applicable to astronomy. From forecasting solar activity to activities to space exploration and more, astronomists are already using this technology. ### Healthcare AI has the potential to improve the efficiency and quality of healthcare globally. Artificial intelligence is used today for evaluating exams such as CT scans, selecting the right treatments, and performing surgeries with robots. However, there is still a lot of progress to be implemented. In 2016, a study found that an AI formula chose the correct dose of drugs to give to transplant patients, improving the efficiency of this human process. There are tons of other tasks being developed for AI, such as analyzing genes, outcome predictions for surgeries, and treatment plan designs. ### Virtual Assistance A common application of AI seen today is virtual assistants such as Siri or Alexa. While its development began earlier on, in the 1990s, digital speech recognition became a feature of the computer. However, the first modern virtual assistant is known as Siri, who was first introduced with the iPhone 4s in 2011. Currently, there are over 4 billion voice assistants in use globally. Using machine learning and natural language processing, these virtual assistants match user text or voice input to execute actions. Whether it's a restaurant recommendation or the weather, AI is now at everyone's fingertips. Virtual assistance powered by artificial intelligence has also empowered disabled users, changing the accessibility game in the last decade. For example, smart home technology developed in recent years has hugely benefited those with limited mobility. ### Autonomous Vehicles Self driving vehicles were once a thing of sci-fi movies. Artificial intelligence has made these a reality and more widely accessible. This technology is already in use in not only private vehicles, but also public transportation and ride-sharing. Driverless vehicles are able to identify objects, interpret scenarios, and make safe decisions through a machine-learning algorithm. However, an AI vehicle does not necessarily need to be self driving. The installation of AI-based systems in new vehicles is expected to rise by 109% in 2025, compared to an 8% rate in 2015. This includes vehicles with speech and gesture recognition, eye tracking, virtual assistance, and more. ### E-Commerce Artificial intelligence technology is regularly applied to the e-commerce industry. AI is used to create recommendation engines that suggest products to customers in line with their browsing history. Within a website, AI-powered virtual shopping assistants and chatbots improve the user experience. While not always achieved, natural language processing is employed to keep conversations sounding personal and natural. AI can also help avoid credit card fraud, identify fake reviews, and much more. ### Hospitality The hospitality industry is increasingly using artificial intelligence to carry out tasks. One example is in-person customer service using AI robots. Hilton has used the Connie robot to provide guests with information, learn from these interactions, and adapt to each individual. Chatbots are also being used, allowing guests to get almost instant responses to their queries 24/7. Hotel staff would be unable to respond at such speed. However, not all applications of AI in the hospitality industry are geared toward customer service. The hospitality industry uses AI for data analysis to draw conclusions about guests and potential customers. The Dorchester Collection use Metis AI to sort through data collected through surveys and reviews to find out about their performance. ## Final Thoughts Artificial intelligence has changed how we collect, analyze, and make complex decisions according to data. Currently, data makes the world go round. The progress made in artificial intelligence is bound to keep taking the tech industry by storm, as well as all its other applicable industries. From drug and molecular research to finance, AI's vast applications show us that AI is here to stay and grow even further. The industry value of artificial intelligence is forecasted to increase by over 13x over the next eight years, making it one of the fastest-growing industries in the world. Everyone wants to cash in on AI's benefits. AI can tackle tasks that are dangerous to humans, work more efficiently and without error, as well as automate the most repetitive tasks, making it valuable to profit-making. However, it's important to consider gender and racial bias, unemployment rise, and AI's inability to be creative. Considering the latter, the human mind will always be valuable and irreplaceable. A machine cannot think outside the box. It cannot innovate and create freely by expressing emotions, thoughts, and feelings. That is if AI never reaches its Nirvana - self-awareness. But if that's ever the case, we will have bigger fish to fry than creativity.
What Is AI Music - Challenging Creativity and Creation
Earlier this year, a curious event took place. At the famed Glastonbury music festival, concertgoers were presented with an unexpected duet between Sir Paul McCartney and John Lennon of the track 'I've Got A Feeling' as part of a stunning three-hour set that also honored the legacy of the Beatles. But hold up, you might be thinking. Was it the same and legendary John Lennon that was so shockingly assassinated in 1980? How could he possibly be taking to the stage - or any stage for that matter - of an English festival 42 years on? Well, we have artificial intelligence and Peter Jackson, yes, the same director behind the Lord of the Rings trilogy, to thank for this beyond the grave apparition. Jackson has lifted the veil on the technology involved to put together the performance, explaining that his team had developed a machine learning system that was taught what guitar, bass and singing sounds. More specifically, this custom-made AI was trained to learn how to sing like Sir Paul McCartney and John Lennon, thus being able to recreate virtual presences that are as realistic as possible. AI music is bringing other legendary singers back to life. As part of the “Lost Tapes of the 27 Club '', an initiative led by Canada-based mental health charity Over the Bridge, a collective of performers who’ve died at the age of 27 “released” novel tracks made entirely by Google’s AI program Mangenta. Amy Winehouse, Kurt Cobain, and Jimi Hendrix are some of the artists covered by the project, with the lyrics and recorded music being entirely authored by AI. ## How Is AI Music Created And the process of creating this new type of AI music is seemingly straightforward; all users have to do is feed a singer’s existing music into a bot that relies on machine learning to detect patterns and produce new music back on the pre-existing catalog. The same technology was used to create three lines of voiceover by the late celebrity chef Antony Bourdain for the Roadrunner: A Film About Anthony Bourdain documentary, directed by Morgan Neville. Want to listen to a podcast interview between Joe Rogan and Steve Jobs? That’s possible, too. And it doesn’t matter that they’ve never met or that the Apple founder has been dead for over a decade. Elsewhere, artificial intelligence is also powering audio deepfakes, also known as voice cloning or synthetic voicing, whereby AI models are fed with training data. Typically, this information includes original recording and voice samples from a target person, who’s speaking or singing, for example. Based on this data set, AI is able to render an authentic sounding track that can be used to “speak” anything that is typed or said. This is known as text-to-speech or speech-to-speech. Artificial intelligence technology has advanced to the point that it can replicate a human voice with an astonishing high level of accuracy. Does this sound a little sci-fi-ish? It’s understandable, but perhaps you’ll change your mind after watching the now-infamous This is not Morgan Freeman video. For some of us, however, this is old news as many will have come across deeptomcruise, a wildly popular TikTok account filled with plenty of Tom-Cruise-like content created entirely by AI. The movie star has no association with it, despite the unsuspecting viewer probably being none the wiser. ## What AI Tools Are Being Used To Make Music Applying language processing and speech recognition in entertainment and music hasn’t been without controversy, with many raising eyebrows and highlighting ethical concerns. Many detractors even question whether AI music can be considered a form of art and if it will ever be put side by side with the world's greatest masterpieces. No matter where you stand on the debate, there’s no doubt that technology is aiding the creative process of many artists. Currently, AI tools can seamlessly create music entirely from scratch, including original lyrics, instrumentation and music composition. In fact, so-called songwriting AI companions like Jarvis and Jukebox are an increasingly popular resource for many aspiring musicians who generally lack access to more complex (read expensive) music creation tools. Developed by OpenAI, Jukebox has become a household name, providing artists, lyrics and genres to generate original music samples from scratch. Some of the music styles considered by its AI neural network include a close approximation to renowned artists such as Celine Dion, Kanye West, and Tupac. And while this sounds quite futuristic, technological tools of the sort have been around for quite a while. David Bowie, for example, helped create in the 1990’s a lyric-writing software called Verbasizer that worked as a sentence randomizer, aiding in the creation of lyrics. The more recent potential of an AI music tool and a new type of AI-based song making hasn’t gone unnoticed in the music industry, by record companies and, of course, music streaming services. No, I am not referring to the AI-powered algorithm that helps you find the next favorite music banger and curate Spotify playlists. How about listening to music streams created entirely by AI and that can perfectly adapt to your mood? That’s the premise behind AI generative music streaming offerings such as Mubert. You might be surprised, or at least intrigued, at the idea of shuffling through melodies that are unpredictable, adaptive, unique and impossible to ever be repeated. But that’s exactly what you get with generative AI. AI-powered music leverages deep learning algorithms, neural networks s and other artificial intelligence tools to allow music to better adapt to the preference of users as much as it also lets them step into the creative process to co-exist and co-produce, so you don’t have to feel let out or that you’re just a mere consumer. For users there’s also a major upside of resorting to a generative source as they don’t have to worry about headache-inducing problems such as copyright and licensing when trying to use something as a simple background music for, say, a YouTube vlog or content for social media platforms. This is an approach now also being favored by the film industry where scouring through music libraries to find music can prove to be both time consuming and a legal, and financial hurdle. That led composers Drew Silverstein, Sam Estes, and Michael Hobe, known for working on music for big-budget movies like The Dark Knight and Inception, to launch an AI-powered music platform - Amper Music. The AI music company provides extensive original music creation tools for creators, video and podcast producers, video game designers, and more. Again, this goes to show how AI and advancements in computer science are democratizing access and distribution well beyond the platforms currently available. ## Generative Music And the Beginnings of AI DJs The technology has become so sophisticated and talented that it inspired the creation of the AI Song Contest, a Eurovision-style contest showcasing the best musical productions created by humans with the aid of AI. And while all of this already seems lofty enough, the promise held by this musical revolution is reaching yet a new high with the emergence of AI DJs. That’s right, your next favorite performer might be a virtual being that also happens to be a gifted musician. As we’ve seen before, AI music bots can compose and churn out entire creations of their own based on the information they’re being fed. However, artificial intelligence virtual artists take it a step further, by not only delivering original music but doing it so with the sense of presence and interaction as a human performer. Or at least that is the premise of the first breed of such musicians. Kàra Màr, an AI DJ developed by Sensorium, has made history after becoming the first of the kind to release an entire album on Spotify, titled “Anthropic Principle”. They’re part of a larger lineup of virtual AI musicians, including Natisa Sitar and Ninalis, that are currently performing 24/7 as part of Sensorium Galaxy’s metaverse streaming service. Unlike the generic version of an avatar, like the ones we’ve all come across online, Sensorium AI DJs are equipped with artificial intelligence technology that allows them to both deliver mind-blowing concerts but also interact with fans in a compelling way. Each virtual being is fitted with a unique personality and background, as well as long-term memory. In other words, they will remember you and whatever past interactions you had. And as a bonus, they’re always available for a chat. ## What Next? Now that we’ve gotten this far, one of the most frequently uttered questions is whether artificial intelligence will - or is bound to - replace human artists. Having automated systems that can imitate and remix human expression might not be enough to simply overtake the power of a live performance and the sheer magic of human creativity and artistry. And we're still a long way from seeing artificial intelligence and music delivering hit songs and winning Grammys, no matter how advanced the technology seems to be today. On the other hand, the use of the technology is already paving the way for profound changes in the music industry. It's been challenging the way licensed music is dealt with, music generators are re-imagining lyric creation and AI DJs are introducing the world to an entirely new music genre. Perhaps, then, it’s fair to say that AI music is a valuable tool for collaboration more than a Terminator-like technology that will erase and replace our favorite artists.
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