AI Unraveled: Latest AI News & Trends, ChatGPT, Gemini, DeepSeek, Gen AI, LLMs, Agents, Ethics, Bias

AI Bridges Communication Between Humans and Animals | The 'Reversal Curse' in LLMs | DeepMind on Language ModelingVideo: https://youtu.be/T5469eJ1Wx0In today's episode, we'll cover AI revolutionizing our understanding of animal communication, translating languages and decoding animal vocalizations, how neural networks aid conservation efforts and assess animal emotions, the challenges of understanding meaning and validating conclusions in animal communication, flaws in logical generalization capabilities of AI models, the effectiveness of large language models in data compression, and a recommendation for the book "AI Unraveled" by Etienne Noumen.So, imagine this: a New Caledonian Crow meticulously crafting a tool to fish out a tasty grub from a tree crevice. Fascinating, right? Turns out, animals have some incredible communication skills that we've only just begun to understand. Take Christian Rutz, a behavioral ecologist who has spent his career studying the New Caledonian Crow. He noticed that these birds live in complex social groups and actually pass on toolmaking techniques to their offspring. But here's the kicker – different crow groups have their own unique vocalizations. Rutz wondered if these dialects could explain the cultural differences in toolmaking among the groups. That's where artificial intelligence (AI) comes in. With recent advancements, we're on the brink of major breakthroughs in understanding animal communication. AI can help us decipher animal vocalizations, like the calls of crows. A group called the Earth Species Project is using machine learning models to analyze data collected from various species. And the Project Cetacean Translation Initiative is specifically focused on understanding the vocalizations of sperm whales. Decoding these vocalizations not only aids conservation and welfare efforts, but it also has a profound impact on us. It's like when the telescope was invented – we realized Earth wasn't the center of the universe. AI has the potential to reshape our understanding of animals and our place in the world. Scientists like Shane Gero are already using AI to decode the complex vocalizations of sperm whales. By analyzing patterns of sound, called codas, Gero and his team have identified individual whales with 99 percent accuracy. And now they're aiming to train a computer to speak whale by recording the vocalizations of Dominica's resident whales around the clock. AI is opening up a whole new world of possibilities for understanding animal communication, and it's truly mind-blowing. These tools are changing the way we see ourselves in relation to everything around us.Full transcript at: https://djamgaai.web.appAre you eager to expand your understanding of artificial intelligence? Look no further than the essential book "AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence," available at Apple, Google, or Amazon today!This podcast is generated using the Wondercraft AI platform (https://www.wondercraft.ai/?via=etienne), a tool that makes it super easy to start your own podcast, by enabling you to use hyper-realistic AI voices as your host. Like mine!

Video: https://youtu.be/qe5tBvkvrf8Microsoft recently announced a game-changing feature called Microsoft Copilot. This exciting new addition will infuse AI capabilities into various Windows 11, Microsoft 365, Edge, and Bing applications. Think of it as Bing, but specifically designed for Windows devices. So, what can Copilot do? Quite a lot, actually. With this tool, you can rearrange windows effortlessly, generate text, open web apps, edit pictures, and much more. It's accessible both via an app and through a simple right-click, making it convenient for users to tap into its AI-powered goodness. But when can we start using Copilot? Well, the good news is that it's just around the corner. Microsoft plans to roll out Copilot this fall, making it available across Bing, Edge, and Microsoft 365. And for Windows users, you'll get to enjoy this feature sooner than you think. The free Windows 11 update will begin on September 26th. Now, you might be wondering, why is this such a big deal? The answer lies in the democratization of AI. While we don't have any mind-blowing use cases for Copilot just yet, this step forward by Microsoft is significant. As more users get their hands on this AI copilot, we'll start to see its true capabilities. And if all goes well, Microsoft could dominate an even larger share of the AI market by delivering AI natively.YouTube just announced some exciting news for creators! They're rolling out three new AI-powered features for YouTube Shorts creators. Let me break it down for you. First up, we have Dream Screen. This feature lets you create image or video backgrounds using AI. All you have to do is type in what you want to see in the background, and AI will make it happen. How cool is that? Next, we've got Creator Music. This feature got an AI revamp, making it even better than before. Now, creators can simply type in the kind and length of the music they need, and AI will find the most relevant suggestions. It's like having your own personal music assistant. Last but not least, we have AI Insights for Creators. This is a tool that generates video ideas for creators based on AI's analysis of what audiences are already watching and preferring. So, if you're looking for some inspiration, AI has got your back. This move by YouTube seems like a smart strategic decision to integrate AI features directly into the platform. We're seeing this trend more and more, and it's great news for users. They get free AI assistance in their creative endeavors, making their experience even better.Full transcript at: https://enoumen.com/2023/09/02/emerging-ai-innovations-top-trends-shaping-the-landscape-in-september-2023/Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book "AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence," available at Apple, Google, or Amazon today!This podcast is generated using the Wondercraft AI platform (https://www.wondercraft.ai/?via=etienne), a tool that makes it super easy to start your own podcast, by enabling you to use hyper-realistic AI voices as your host. Like

Innovating the Future of Education: The Untapped Potential of Mobile Apps - Top 15 AI Educational Apps Ideas that do not exist yet.In today's episode, we'll cover the untapped potential of mobile apps in education, including AR books, personalized study timelines, vocal study notes, as well as the importance of privacy and security. We'll also discuss how no-code AI tools empower educators and innovators to create functional educational apps without coding, exploring topics such as AI integration, AR, interactive learning, gamification, community platforms, VR, and data visualization for educational innovation.Video: https://youtu.be/tCXsF0YYTA8Full transcript at: https://enoumen.com/2023/09/20/top-15-ai-educational-apps-ideas-that-do-not-exist-yet/Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book "AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence," available at Apple, Google, or Amazon at https://amzn.to/3Rx05wu today!This podcast is generated using the Wondercraft AI platform (https://www.wondercraft.ai/?via=etienne), a tool that makes it super easy to start your own podcast, by enabling you to use hyper-realistic AI voices as your host. Like mine!

In today's episode, we'll cover DeepMind's prediction of a "third wave" of AI, Google and DeepMind's AI algorithm for personalized route suggestions, a comprehensive survey on LLM-based agents, MIT's Style2Fab AI tool for 3D printing, Meta's efforts in multimodal learning, Google's restriction on Gradio for free users, DeepMind's Optimization by PROmpting, Meta's AI-powered tools for marketers, SoftBank's consideration of investment or partnership with OpenAI, the partnership between Anthropic and BCG for enterprise AI solutions, DeepMind's vision of interactive AI chatbots, a roundup of AI-related news, and a recommendation of the book "AI Unraveled."Video: https://youtu.be/15OaAO9qsHAMustafa Suleyman, co-founder of DeepMind, believes that we are on the cusp of a new era in artificial intelligence (AI). In what he refers to as the "third wave" of AI evolution, machines will not only communicate with humans but also with other machines. To understand this progression, let's take a quick look at the previous phases. The initial phase was focused on classification, specifically deep learning algorithms that could classify different types of data. Then came the generative phase, where AI systems used input data to create new information. But now, we're heading into the interactive phase. This is where machines will be capable of carrying out tasks by conversing not only with humans but also with other AI systems. Users will be able to provide high-level objectives to their AI and let it take the necessary actions, involving dialogue with both machines and individuals. This interactive AI has the potential to be more than just a tool for automation. It will possess the freedom and agency to execute tasks, bringing us closer to the AI we see in science fiction. Instead of being static, it will be dynamic and adaptable, much like the depictions of AI in movies. Interestingly, despite the excitement surrounding generative AI, there seems to be a decline in its popularity. User growth and web traffic for tools like ChatGPT have decreased. DeepMind itself has released a rival to ChatGPT called Pi, which emphasizes its polite and conversational nature. Overall, it's clear that AI is rapidly advancing, and the future holds great promise for machines that can interact not only with humans but also with their own kind.Full transcript at: https://enoumen.com/2023/09/02/emerging-ai-innovations-top-trends-shaping-the-landscape-in-september-2023/Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book "AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence," available at Apple, Google, or Amazon today!

Unlocking Azure AI Fundamentals AI-900 exam: Skills Measured, Top 10 Quizzes with detailed answers, Testimonials, Tips, and Key Resources to ace the exam and pass the certificationIn today's episode, we'll cover skills measured in Azure AI workloads, machine learning principles, computer vision, and Natural Language Processing, Azure AI Fundamentals Practice Quizzes on topics such as predictive models, computer vision, responsible AI, and machine learning methods, top tips for acing the Microsoft Azure AI Fundamentals AI-900 exam including understanding objectives, practice, engaging with the community, and staying updated, and the Azure AI Fundamentals AI-900 Exam Prep PRO by Djamgatech available on Apple and Windows App Stores.https://youtu.be/p04i0Q3ZxHAIn the Azure AI Fundamentals Exam, you’ll be putting your knowledge of machine learning (ML) and artificial intelligence (AI) concepts to the test, along with your familiarity with related Microsoft Azure services. The great thing about this exam is that you don't necessarily need a technical background or experience in data science or software engineering. So, if you’ve been wanting to break into the AI field, this could be a great opportunity for you! That said, having some knowledge of cloud basics and client-server applications will definitely come in handy. It’s not a requirement, but it would give you an advantage. Keep in mind that passing the Azure AI Fundamentals Exam can actually open doors to other Azure role-based certifications, like Azure Data Scientist Associate or Azure AI Engineer Associate. This means that once you ace this exam, you'll have a head start on your AI journey. During the exam, you can expect questions that cover various aspects of AI workloads on Azure. This includes understanding the fundamental principles of machine learning, as well as the features and considerations of computer vision workloads and Natural Language Processing (NLP) workloads on Azure. So, get ready to dive deep into the exciting world of AI and show off your knowledge on the Azure platform.Full transcript: https://enoumen.com/2023/09/15/unlocking-azure-ai-fundamentals-ai-900-exam/Good luck!Get the Free Azure AI Fundamentals Exam Prep AppThis podcast is generated using the Wondercraft AI platform (https://www.wondercraft.ai/?via=etienne), a tool that makes it super easy to start your own podcast, by enabling you to use hyper-realistic AI voices as your host. Like mine!

In today's episode, we'll cover Clean Water AI's use of AI for water contamination detection, Microsoft Research's RAIN method for aligning language models with human preferences, Google Research's development of image-to-video technology, Google's development of Gemini conversational AI software, AI models accurately predicting US judges' rulings, and various updates in the field of AI.https://youtu.be/OHqg8G3-AVcWater safety is a critical concern for municipal water systems, as contamination by bacteria and harmful particles can have severe health repercussions. Unfortunately, detecting these issues can be challenging before they cause health problems. To address this need, Clean Water AI has developed an innovative solution that leverages artificial intelligence (AI) to identify water contamination. By utilizing trained models, Clean Water AI's system can effectively recognize harmful particles and bacteria that may compromise water safety. The solution involves the implementation of distributed devices that continuously monitor water sources for any signs of contamination. These devices are equipped with AI algorithms, which allow them to detect and classify dangerous bacteria and particles accurately. This real-time monitoring enables cities to identify and respond to contamination issues promptly. Clean Water AI employs a deep learning neural network to detect bacteria and particles in water, even at the microscopic level. By training a convolutional neural network model on the cloud, the system gains the capability to accurately identify and classify various contaminants. To deploy the solution, Clean Water AI utilizes edge devices equipped with the trained model. This approach ensures that the classification and detection occur at the source, providing real-time analysis of water quality. The system is designed to run continuously, allowing for round-the-clock monitoring. Implementing the solution involves the installation of Internet of Things (IoT) devices across different water sources in cities. These devices serve as the frontline sensors, constantly monitoring water quality and detecting any signs of contamination. This comprehensive monitoring approach offers cities greater visibility into their water systems and enables them to take proactive measures to ensure public safety. Full transcript at: https://enoumen.com/2023/09/02/emerging-ai-innovations-top-trends-shaping-the-landscape-in-september-2023/Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book "AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence," available at Apple, Google, or Amazon today!This podcast is generated using the Wondercraft AI platform (https://www.wondercraft.ai/?via=etienne), a tool that makes it super easy to start your own podcast, by enabling you to use hyper-realistic AI voices as your host. Like mine!

In today's episode, we'll cover Microsoft and Google's increased water consumption rates, Google's Digital Futures Project and $20 million fund for responsible AI development, companies hiring for Generative AI talent, the potential of AI-driven software development, Meta's plans to develop a powerful AI model, Microsoft, MIT, and Google's transformation of Project Gutenberg Collection into AI-powered audiobooks, concerns about AI girlfriend and erotic chatbot ads on social media, the unveiling of Apple's iPhone 15 Pro and Pro Max, and the launch of Google's Digital Futures Project and $20 million fund.Video: https://youtu.be/0o4ErHfvbjgAI technology has been making significant strides in recent years, but along with its advancements comes a concern for sustainability and its impact on the environment. One major aspect of this concern is the staggering water consumption rates of companies like Microsoft and Google. Last year alone, Microsoft's data centers used an astounding amount of water, draining over 2,500 Olympic-sized swimming pools. This represents a 34% increase from the previous year. Similarly, Google reported a 20% increase in water consumption over the same period. The main reason behind this surge in water usage is the exponential growth of AI and its associated technologies. AI requires massive server farms, which heavily rely on water for cooling purposes. According to Shaolei Ren, a researcher at UC Riverside who focuses on AI's environmental impact, the spike in water usage can be primarily attributed to AI. In fact, every 5 to 50 prompts submitted to ChatGPT, an AI language model, consumes approximately 500 ml of water. This information comes from an upcoming paper by Professor Ren's team. Recognizing the gravity of the situation, tech giants like Google are taking responsible steps to address this issue. They have committed to assessing their water usage and its impact on surrounding areas. By doing so, they aim to find ways to mitigate any negative effects and promote responsible water usage. In conclusion, the rapid growth of AI technology has led to a concerning increase in water consumption by companies like Microsoft and Google. However, these tech companies are aware of the issue and are actively exploring ways to minimize their water usage and its environmental impact.Full transcript at: https://enoumen.com/2023/09/02/emerging-ai-innovations-top-trends-shaping-the-landscape-in-september-2023/Attention AI Unraveled Podcast Listeners!Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book "AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence," now available at Apple, Google, or Amazon today!This podcast is generated using the Wondercraft AI platform (https://www.wondercraft.ai/?via=etienne), a tool that makes it super easy to start your own podcast, by enabling you to use hyper-realistic AI voices as your host. Like mine!

Dans l'épisode d'aujourd'hui, nous aborderons l'introduction par Google de modèles linguistiques en tant qu'optimiseurs, le logiciel TensorRT-LLM de NVIDIA améliorant les performances, le procès antitrust de Google et les préoccupations concernant l'innovation, l'utilisation d'IRM corporelle complète par les élites de la Silicon Valley, la découverte du plus grand gisement de lithium au monde, les récents développements en matière d'IA, y compris TensorRT-LLM, l'objectif de Meta de rivaliser avec GPT-4, l'outil de recherche de mots-clés en IA de Reddit, les collaborations entre Infosys et NVIDIA et Reliance et Nvidia, et une recommandation de livre pour AI Unraveled intitulée "AI Unraveled".Google DeepMind a eu une idée intéressante : utiliser des modèles linguistiques comme optimiseurs. Ils appellent cette approche "Optimization by PROmpting" ou OPRO pour faire court. Au lieu de s'appuyer sur des méthodes d'optimisation traditionnelles, les modèles de DeepMind sont entraînés à générer de nouvelles solutions en comprenant les descriptions en langage naturel du problème à résoudre et en utilisant les solutions précédentes comme base. Ce concept a été testé sur une gamme de problèmes, y compris la régression linéaire, les problèmes du voyageur de commerce et les tâches d'optimisation de la demande. Les résultats sont plutôt impressionnants. Les prompts optimisés par OPRO ont surpassé les prompts conçus par des humains jusqu'à 8% sur le jeu de données GSM8K, et jusqu'à un énorme 50% sur le jeu de données des tâches difficiles de Big-Bench. Alors, pourquoi est-ce si important ? Eh bien, OPRO de DeepMind a le potentiel de révolutionner la résolution de problèmes dans différents domaines. En améliorant la précision des tâches et en dépassant les approches conçues par les humains, il peut fournir aux utilisateurs finaux des solutions plus efficaces et plus performantes. Que ce soit dans la recherche opérationnelle, la logistique ou tout autre domaine impliquant une résolution de problèmes complexe, OPRO pourrait changer la donne. Il est passionnant de voir comment les modèles linguistiques peuvent être utilisés de manière novatrice pour relever des défis du monde réel.Contenu complet a: https://enoumen.com/2023/09/02/emerging-ai-innovations-top-trends-shaping-the-landscape-in-september-2023/Attention aux auditeurs du podcast AI Unraveled !Êtes-vous désireux d’élargir votre compréhension de l’intelligence artificielle ? Ne cherchez pas plus loin que le livre essentiel « AI Unraveled : Démystifier les questions fréquemment posées sur l'intelligence artificielle », d'Etienne Noumen, désormais disponible sur Shopify, Apple, Google ou Amazon (https://amzn.to/44Y5u3y) dès aujourd'hui !

https://youtu.be/Eada9prCKKEGoogle DeepMind has come up with an interesting idea: using language models as optimizers. They call this approach Optimization by PROmpting, or OPRO for short. Instead of relying on traditional optimization methods, DeepMind's models are trained to generate new solutions by understanding natural language descriptions of the problem at hand and using previous solutions as a basis. This concept has been tested on a range of problems, including linear regression, traveling salesman problems, and prompt optimization tasks. The results are pretty impressive. The prompts optimized by OPRO have outperformed prompts designed by humans by up to 8% on the GSM8K dataset, and up to a whopping 50% on the Big-Bench Hard tasks dataset. So why is this significant? Well, DeepMind's OPRO has the potential to revolutionize problem-solving in various fields. By improving task accuracy and surpassing human-designed approaches, it can provide end users with more efficient and effective solutions. Whether it's in operations research, logistics, or any other domain that involves complex problem-solving, OPRO could be a game-changer. It's exciting to see how language models can be leveraged in such innovative ways to tackle real-world challenges.Video: https://youtu.be/Eada9prCKKEHey there! I have some exciting news to share with you today. NVIDIA has just released a groundbreaking software called TensorRT-LLM that can supercharge LLM inference on H100 GPUs. This is a game-changer, folks! So, what's so special about this software? Well, it comes packed with optimized kernels, pre- and post-processing steps, and even multi-GPU/multi-node communication primitives. All of this combined gives you an incredible performance boost. And the best part? You don't need to be a C++ or NVIDIA CUDA expert to use it! NVIDIA has made it super easy for developers to experiment with new LLMs. But wait, there's more! TensorRT-LLM also offers an open-source modular Python API, making customization and extensibility a breeze. You can even quantize your models to FP8 format for better memory utilization. And guess what? TensorRT-LLM is not just for H100 GPUs. Full transcript at: https://enoumen.com/2023/09/02/emerging-ai-innovations-top-trends-shaping-the-landscape-in-september-2023/Attention AI Unraveled Podcast Listeners!Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book "AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence," now available at Apple, Google, or Amazon today!This podcast is generated using the Wondercraft AI platform (https://www.wondercraft.ai/?via=etienne), a tool that makes it super easy to start your own podcast, by enabling you to use hyper-realistic AI voices as your host. Like mine!

In today's episode, we'll cover Harvard scientist Kohane validating GPT-4's medical prowess, OpenAI doubling ChatGPT Plus users' message limit to 50, OpenAI unveiling Shap·E for rapid 3D design generation, OpenAI offering $1M in grants for democratic AI governance projects, the potential job displacement by generative AI, privacy risks with connected cars, and expanding your understanding of AI with the book "AI Unraveled".Video: https://youtu.be/tWFQ6nPLvY8So, this incredible news just came out – Dr. Isaac Kohane, a brilliant scientist from Harvard, has given his stamp of approval to GPT-4, the latest artificial intelligence model. Not only is Dr. Kohane an expert in medicine, but he's also a computer science whiz. And let me tell you, folks, GPT-4 has blown him away with its medical prowess! During his evaluation, Dr. Kohane found that GPT-4 outperformed many human doctors. It achieved an impressive 90% accuracy rate on medical licensing exam questions – that's right, it nailed the exams! But that's not all – GPT-4 also showed its skills by providing patient translations and offering valuable insights into physician-patient interactions. Talk about an all-around genius! But here's where it gets even more mind-blowing, folks. During a real-world test, GPT-4 actually diagnosed a rare medical condition. And get this – its diagnostic skills were on par with those of experienced physicians like Dr. Kohane himself. Now, that's something to take notice of! However, Dr. Kohane, being the thorough researcher he is, also highlighted some small areas where GPT-4 fell short. In his recent publication titled 'The AI Revolution in Medicine,' he pointed out that the model sometimes made minor clerical oversights and numerical inaccuracies. Hey, nobody's perfect, right? Now, amidst all the excitement and wonder, Dr. Kohane is faced with a big challenge – ensuring that GPT-4 remains consistently reliable during medical consultations. It's one thing to perform well in controlled environments, but it's a whole different ball game when it comes to real-life patient care. So, there you have it, folks! GPT-4, the impressive AI model, has received the stamp of approval from none other than Dr. Isaac Kohane, the expert himself. While it's not without its occasional flaws, GPT-4 has shown incredible potential in the world of medicine. Who knows what the future holds for AI and healthcare? Only time will tell!Full transcript at: https://enoumen.com/2023/09/02/emerging-ai-innovations-top-trends-shaping-the-landscape-in-september-2023/Attention AI Unraveled Podcast Listeners!Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book "AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence," now available at Apple, Google, or Amazon today!This podcast is generated using the Wondercraft AI platform (https://www.wondercraft.ai/?via=etienne), a tool that makes it super easy to start your own podcast, by enabling you to use hyper-realistic AI voices as your host. Like mine!