Archive for March 24th, 2023

The Current Discourse on Artists vs. Machines Artificial Intelligence (AI) and human creativity may seem like a dichotomy, but in reality, these two can complement each other. Musicians, in particular, have shown an interest in exploring how AI and humans can collaborate rather than compete. Last November, at the Stockholm University of the Arts, an AI and a human made music together. The performance began with musician David Dolan playing the piano into a microphone while the computer system, designed and supervised by composer Oded Ben-Tal, “listened” to the piece and added its accompaniment, improvising like a person would. While the artists-vs-machines discourse about AI replacing journalists or stealing from illustrators continues, musicians are exploring ways to use these models to supplement human creativity. The Historical Speculation on AI and Music For Ben-Tal, creativity includes various aspects such as inspiration, innovation, craft, technique, and graft. He believes there is no reason why computers cannot help in that situation in a way that is helpful. This view is not new, as speculation that computers might compose music has been around as long as the computer itself. Ada Lovelace, a mathematician and writer, once theorized that Charles Babbage’s steam-powered Analytical Engine could be used for more than simply numbers. She believed that the “science of harmony and of musical composition” could be adapted to compose elaborate and scientific pieces of music of any degree of complexity or extent. Musicians’ Reactions to ChatGPT and Bing’s AI Chatbot Artists like Ash Koosha, Arca, and Holly Herndon have already used AI to enrich their music. Holly Herndon’s free-to-use AI-powered vocal clone, Holly+, presented a different side of the narrative around tech and music. She said, “There’s a narrative around a lot of this stuff, that it’s scary dystopian. I’m trying to present another side: This is an opportunity.” Copyright Considerations and Creative Capabilities of AI The use of AI in music raises questions about copyright and whether songwriters can defend themselves against plagiarism or if audiences should be told when AI is used. The Google MusicLM model, which turns text into music, has not been released due to the risks associated with music generation and the potential misappropriation of creative content. However, AI still presents attractive creative capabilities. Musicians can use AI to improvise with a pianist outside of their skill set or draw inspiration from an AI’s compositions in a genre they are not familiar with, like Irish folk music. An Alternative to the Human vs. Machine Narrative While generative AI can be unsettling because it exhibits a kind of creativity normally ascribed to humans, Ben-Tal sees it as another technology, another instrument, in a lineage that goes back to the bone flute. He believes that generative AI isn’t unlike turntables, which allowed artists to scratch records and sample their sounds, creating whole new genres. The Wilder (albeit Controversial) Fantasy of AI Realizing an Artist’s Vision In conclusion, the fear that AI will replace human creativity is unnecessary. AI and humans can collaborate, and their joint efforts could create new genres of music or produce a better version of a composer’s vision. The use of AI in music raises questions about copyright, but it presents attractive creative capabilities in the short and long term. As the artists-vs-machines discourse about AI continues, musicians are quietly exploring how these models might supplement human creativity.

Improved Accuracy and Advanced Reasoning Capabilities On March 14th, 2023, the latest version of the AI software, Chat GPT-4, was launched. Compared to its predecessor, Chat GPT-3, Chat GPT-4 has undergone extensive training on various prompts, including malicious ones, to make it less susceptible to user manipulation. This new version offers more factual and accurate information and has better reasoning capabilities. Multimodal Image Recognition for Real-World Applications Chat GPT-4 is also capable of understanding images, making it multimodal, which means it can understand different modes of information, including words and images. Users can ask the AI to describe an image, making it useful for those with vision difficulties. Additionally, Chat GPT-4 can process up to 25,000 words at once, which is eight times more than Chat GPT-3, making it better equipped to take on larger documents. Increased Processing Power for Efficient Work Environments According to Open AI, Chat GPT-4 outperforms Chat GPT-3 by up to 16% on common machine learning benchmarks, making it more accessible to non-English speakers. Moreover, the latest version is less likely to respond to disallowed content and is 40% more likely to produce factual responses, making it safer to use for users overall. Enhanced Safety Features for User Protection In a comparison between Chat GPT and Chat GPT-4, both AIs were asked the same question, and although both could provide a solution, Chat GPT-4 offered a more accurate and less wordy response, implying it will offer more consistent and fact-based solutions than its predecessor. In conclusion, Chat GPT-4 offers several notable improvements over Chat GPT-3. Its better reasoning capabilities, understanding of images, and ability to process larger documents make it more efficient and versatile. The AI is less susceptible to user manipulation and less likely to respond to disallowed content, making it a safer and more well-rounded experience for users.

Concerns about AI Chatbots in Mental Health Services Artificial intelligence (AI) is increasingly being used in various industries, including the arts and mental health services. However, some experts believe that there are implications to this use of technology. For instance, AI chatbots have been explored as a way of providing mental health services. While this would help to bridge the gap between the demand for treatment and the supply of clinicians, some people are concerned about the loss of human touch that this would entail. Additionally, AI may pose a threat to privacy, and it is unclear who would own the private information that patients reveal to therapy chatbots. Potential Benefits of AI Therapy in Psychotherapy Despite the potential drawbacks, AI therapy may improve psychotherapy, not just in terms of access, but also with regards to fidelity to treatment models, consistency, and the ability to collect big data about what works and what doesn’t in psychotherapy. Furthermore, a sophisticated AI model may be able to adjust itself to the needs of a client in a way that a human therapist cannot. However, some people are uneasy about the prospect of an AI algorithm replacing the human-to-human experience of therapy. In this relationship, experiences such as transference or cognitive distortions can be named, examined, and changed as they emerge. Additionally, modern neuroscience has discovered that humans co-regulate their autonomic nervous systems through proximity and communication via facial expressions. Uneasiness with the Prospects of AI Replacing Human-to-Human Therapy The use of AI in the arts is also gaining traction. For example, websites such as Midjourney are now able to create art from text prompts. While this raises questions about the future of human artists, AI is not yet able to replicate the nuances and subtleties that human artists bring to their work. AI in the Arts and Questions about the Future of Human Artists Overall, while AI has the potential to revolutionize mental health services and the arts, there are concerns about the impact of this technology on human experiences. Therefore, it is important that these concerns are addressed as AI continues to be developed and implemented.

Google’s Approach to Health Initiatives Google has unveiled plans to incorporate artificial intelligence (AI) into healthcare initiatives, including the use of language-generating technology in medical exams and AI-assisted research, helping consumers find information faster via internet searches, and providing tools for developers to build health apps globally. According to Google’s chief health officer, Karen DeSalvo, Google’s global reach and advanced AI technologies can help billions of people live healthier lives. Google’s More-Integrated Approach to Health Initiatives The tech giant’s approach now contrasts with industry peers like Apple and Amazon.com, which focus on wearable devices and medical-care services like pharmacies and primary care. Two Alphabet companies, Verily and Calico, have also moved slowly in recent years. Google has assimilated health AI efforts in several ways in search, its core product, to provide information on Medicaid re-enrollment, and to verify that thousands of healthcare providers in the US accept certain Medicaid plans in their state. Google’s Use of AI in Medical Research Moreover, Google has integrated AI models, including large language models, into medical research. Med-PaLM 2, the second iteration of an AI model that answers medical exam questions, obtained an 85% score when answering US medical licensing-style questions, while Google’s AI-assisted ultrasound analyses, tuberculosis screening, and cancer research have made significant strides. Google’s Open Health Stack for Developers Additionally, Google introduced Open Health Stack, a suite of open-source tools to help technologists build apps that can provide access to population health data, monitor community health, or help health workers make informed decisions in patient care. Google’s recent move to reassert its dominance in generative AI has led to the incorporation of generative AI into all its most important products, including health-related initiatives. In conclusion, Google’s incorporation of AI into healthcare initiatives, including language-generating technology and AI-assisted research, can help people worldwide live healthier lives. The company’s approach, in contrast to its industry peers, focuses on integrating AI into core products like search and YouTube. By assimilating health AI efforts into search, Google is making it easier for people to access Medicaid re-enrollment information and is providing best practices for video production on YouTube. Google’s Med-PaLM 2 and AI-assisted ultrasound analyses, tuberculosis screening, and cancer research have made significant strides, while Open Health Stack provides a suite of open-source tools to help developers build health apps globally.

A Proof-of-Concept for AlphaFlow’s Efficiency A team of chemical engineering researchers has developed a groundbreaking self-driven lab called AlphaFlow that can optimize the discovery of complex multistep reaction routes for the synthesis of advanced functional materials and molecules. AlphaFlow integrates artificial intelligence (AI) techniques, specifically reinforcement learning, with automated microfluidic devices to accelerate the material discovery process. AlphaFlow’s AI Model and Decision Making Process Traditional techniques for discovering new chemistries rely on varying one parameter at a time, but AlphaFlow can conduct more experiments than 100 human chemists in the same period while using less than 0.01% of the relevant chemicals. The AI model behind AlphaFlow makes decisions on what experiment to conduct next based on data it has developed from experiments it already ran and what it predicts the results of the next several experiments will be. AlphaFlow: Making Discoveries and Optimizations AlphaFlow has a range of applications from discovering new chemicals to optimizing the manufacturing process for known chemicals. For discovery, the system is trying to determine which precursors need to be added, as well as the best order in which to add them, in order to find a chemistry with the best performance. Whereas for optimization, the AI model already knows which precursors need to be added and in which order, and its focus is on determining what amount of each precursor is needed, as well as the amount of time needed for each reaction, to reach optimal performance most efficiently. AI and Chemistry: The Integration That Reduces Development Time AlphaFlow’s integration of AI and chemistry reduces the amount of time it takes to develop new chemistries by at least an order of magnitude. This system also offers new insights into fundamental chemistry by developing a new means of producing a semiconductor nanocrystal with fewer steps, broadening our understanding of the chemistry involved. AlphaFlow and Colloidal Atomic Layer Deposition At present, AlphaFlow is set up to conduct experiments related to colloidal atomic layer deposition, but it could be modified to conduct any range of experiments that involve performing chemical reactions in solution. The researchers are now seeking partners in both the research community and private sector to use AlphaFlow to address chemistry challenges. AlphaFlow: The Future of Chemistry Research? AlphaFlow is open source, and the researchers believe in sharing high-quality, reproducible, standardized, experimental data, both from failures and successes, to accelerate the discovery of new materials and chemical processes. AlphaFlow is the first self-driven lab that integrates reinforcement learning with AI, highlighting the extent to which AI and the physical sciences can benefit each other.

ChatGPT has been making waves in recent months and it looks like Microsoft is about to upgrade the AI tool with an update that could thrust it into the spotlight once again. Microsoft is set to launch GPT-4 as early as next week and it will potentially allow users to create AI-generated videos from simple text prompts. GPT-4 and Multimodal Models The news of GPT-4’s release was revealed by Andreas Braun, Chief Technology Officer at Microsoft Germany, at an AI-focused event titled “AI in Focus – Digital Kickoff”. Braun explained that GPT-4 will be a “multimodal” model, which would enable the AI to translate a user’s text into images, music, and video. ChatGPT and AI-Generated Videos Currently, ChatGPT can only reply in text form, but the imminent update will change all that. ChatGPT won’t be the first tool to output AI-created videos, as in 2022, Facebook owner Meta launched Make-A-Video which creates realistic videos based on short text prompts. It appears that the next version of ChatGPT might be able to do something similar. GPT-4 and Call Center Efficiency Microsoft provided an example of how GPT-4 could be used to automatically convert phone conversations between employees and customers into text. This would save huge amounts of time and effort that would previously be expended on summarizing those calls after they finish. Bing Web Browser Integration Microsoft didn’t touch on its integration of ChatGPT into its Bing web browser during the AI event. This could be due to the recent controversy surrounding it, but it remains to be seen what changes or fixes Microsoft may implement in the future. The Future of ChatGPT With GPT-4 set to launch as early as next week, we won’t have to wait long before we see what the next version of ChatGPT is capable of. It will be interesting to see if Microsoft has fixed any of the lingering problems with its AI assistant and if it can successfully incorporate AI-generated videos into ChatGPT’s capabilities. In conclusion, GPT-4’s upcoming release is highly anticipated and promises to bring about significant changes to the AI landscape. With the potential for multimodal models and AI-generated videos, it’s clear that Microsoft is looking to make ChatGPT even more useful and versatile for its users. The future of AI and ChatGPT is exciting and we look forward to seeing what other advancements will be made in the near future.

Alethea AI and Polygon Labs are contributing to the AI boom an AI-powered NFT project that will allow users to create NFT avatars through text-based prompts similar to OpenAi’s Dall-E Imager. Faster, more accessible NFT avatar creation The project plans to enable anyone to quickly create, train and exchange AI characters as NFTs in Polygon.” CharacterGPT, developed by Alethea AI, aims to be accessible through traditional text-to-image engines such as Dall-E 2 to go beyond Open AI to generate fully interactive and intelligent AI characters with a one-line natural language message. AI NFT character creation NFTs can be coined in mycharacter.ai through Alethea AI’s Polygon dApp. To launch the app, a digital version of Polygon co-founder Sandeep Nailwal became a 1/1 NFT “AI Collectible that is based on his writings, public statements, and interviews.” The gold mark next to the AI collectible represents confirmation that the NFT was created with his permission. To manage this process, Alethea uses the “AI Protocol: a proprietary and ownership layer for generative AI now available at Polygon.” Nailwal commented: “I have seen firsthand how Alethea AI has developed this technology over the past few years and through its CharacterGPT AI engine… We are excited to continue to support Alethea as it builds on Polygon and the power and potential of AI.” to life.” Ahmad Matyana, COO of Alethea AI, gave some examples of possible use cases for the new technology: “users can now create interactive, intelligent characters that could serve as AI companions, digital guides or NPCs in games.” Influencer-based hope The company also hopes that public figures will use the AI engine to create “digital twins” of themselves “to serve as digital companions for their fans.” Because the assets can be trained, digital assets can also be used in the metaverse, games, museums, sports stadiums, and other real-world locations to interact with users and act as virtual guides.

It is reasonable to think of the implications of artificial intelligence in Industry 4.0 coming in leaps and bounds, but we are not there yet. Artificial intelligence is already part of our everyday environment, whether we are aware of it or not. That’s why today we discuss all those uses of artificial intelligence that already exist: Types of AI use: We can distinguish two types of AI applications to improve people’s day-to-day lives. Software/Methodology: Voice assistants, image recognition to unlock faces on cell phones, and ML-based financial fraud detection are examples of AI software currently in use in everyday life. Native/Hardware: Drones, autonomous vehicles, assembly line robots, and the Internet of Things (IoT) are examples of AI applications in hardware. Examples of how AI improves our daily lives. AI and ML-based software and devices mimic human thought processes to help society thrive in the digital revolution. How does artificial intelligence improve social networks? People regularly check their social media accounts such as Facebook, Twitter, Instagram, and other platforms. Twitter  Has begun using artificial intelligence behind the scenes to improve its product, from suggesting tweets to combating offensive or racist material and improving user experience. Facebook Deep learning is helping Facebook extract value from a growing body of its unstructured data sets, drawn from nearly 2 billion users who update their status 293,000 times per minute. Instagram Instagram is also using big data and artificial intelligence to target ads, combat cyberbullying, and remove offensive comments. Chatbots Chatbots are artificial intelligence programs that can answer questions and provide relevant content to consumers with frequently asked questions. Artificial intelligence in day-to-day processes. Autonomous cars and aircraft Drones, or unmanned aerial vehicles (UAVs), are already in the air, performing surveillance tasks and providing delivery services in a variety of plans. The autonomous car market is still in its infancy, but there are enough prototypes and pilot projects to show that autonomous cars will become more common as artificial intelligence and Internet of Things (IoT) technologies improve. Digital assistant Virtual assistants such as Alexa, Siri, Cortana, and Google Assistant have made our lives easier. This software recognizes voice patterns and provides natural language processing capabilities. Food platforms When it’s time to eat, apps and online ordering sites often send you interesting notifications about breakfast, lunch, and dinner. Streaming music and multimedia content The next time you play recommended videos on YouTube, watch recommended shows on Netflix or watch other media, don’t forget that AI is also involved. Plagiarism If you’re a teacher grading essays, you’re probably facing the same problem. The knowledge and data available are almost limitless and are exploited by malicious students and employees. Banking Banks are now using artificial intelligence (AI) and machine learning software to read handwritten signatures and approve checks that are risk-free compared to what banks were previously presented with. E-commerce Automated warehouses and AI-powered supply chain management systems can help trading companies better manage their logistics. Travel and location Artificial intelligence algorithms can only check satellite images that are updated every second. These digital maps are created simultaneously from satellite images that incorporate information about bike lanes and parking spaces. Cab service For-hire cars like Uber and Lyft are very convenient because they can provide you with a car when you need one. Automated response When composing a new email, the program suggests possible responses. Some email systems also include features that notify users when it’s time to send a message. Video games AI and similar technologies can be found in various video games, including racing, shooting, and strategy games. Job seeker These applications use software that helps consumers discover the best prospects by suggesting jobs, roles, employees, and other relevant information. Security and surveillance While everyone may disagree about the ethics of using such systems, there is no doubt that they are being used, and AI plays a major role in that. Smart home But these AI applications are not limited to smart voice assistants like Alexa and Bixby. These AI apps save energy by automatically turning lights on and off based on human presence, smart speakers, apps that adjust the light color based on the time of day, and more. Google’s predictive search algorithm. No doubt, every time you try to search for something on Google, you will see some autocomplete search terms in the search bar. Google uses various technologies such as neural networks, deep learning, machine learning, and artificial intelligence in its search engine. Internet of Things The convergence of AI and the Internet of Things (IoT) offers endless opportunities to create smarter home technologies that require less human intervention to operate. Creating, communicating, aggregating, analyzing, and acting are the five main phases of IoT enablement. Recipes and cooking However, it is also useful for a variety of activities outside the typical scope of AI research. Rasa has developed an AI system that analyzes food and creates recipes based on what you have in your kitchen and pantry. Auto-correction Autocorrect doesn’t just correct typos. It also suggests to the user the next word in a sentence, an essential aid for those who type quickly. Medical use This device is used to identify and treat damaged tissue. Google’s AI Eye Doctor is working with the Indian eye care chain to develop a treatment for diabetic retinopathy, a disease that causes blindness. Conclusion Artificial intelligence is evolving due to continuous improvements in the data available to machine learning algorithms. This allows trained ML models to perform better on real user data, making AI work more effectively.