AI Innovations in November 2024 - AI - IT - Engineering - Cloud - Finance - TrendsAI, IT, Engineering, Entrepreneurship, Sports, Finances, Life, Success, Failure, TrendsIn November 2024, artificial intelligence continues to drive change across every corner of our lives, with remarkable advancements happening at lightning speed. "Daily AI Chronicle" is here to keep you updated with an ongoing, day-by-day account of the most significant breakthroughs in AI this month. From new AI models that push the boundaries of what machines can do, to revolutionary applications in healthcare, finance, and education, our blog captures the pulse of innovation.Highlights of NovemberThroughout November, we will bring you the highlights: major product launches, groundbreaking research, and how AI is increasingly influencing creativity, productivity, and even daily decision-making. Whether you are a technology enthusiast, an industry professional, or just intrigued by the direction AI is heading, our daily blog posts are curated to keep you in the loop on the latest game-changing advancements.Stay with us as we navigate the exhilarating landscape of AI innovations this November. Your go-to resource for everything AI, we aim to make sense of the rapid changes and share insights into how these innovations could shape our collective future.Listen to the AI-Powered Job Interview Prep podcast on Apple PodcastsSource: TechRadarSource: MaginativeSource: ArXivSource: The VergeNvidia's InnovationsNvidia published new research showcasing HOVER, a small 1.5M parameter neural network that can control whole-body robotic movement effectively across various modes and input methods.Project Details:Project page: DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation LearningPaper: [2410.24185] DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation LearningLead author tweet: Zhenyu Jiang on XFuture of RoboticsTweet from Jim Fan: Jim Fan on X: “I don’t know if we live in a Matrix, but I know for sure that robots will spend most of their lives in simulation. Let machines train machines. I’m excited to introduce DexMimicGen, a massive-scale synthetic data generator that enables a humanoid robot to learn complex skills from only a handful of human demonstrations. DexMimicGen addresses the biggest pain point in robotics: where do we get data? At NVIDIA, we believe the majority of high-quality tokens for robot foundation models will come from simulation. What DexMimicGen does is to trade GPU compute time for human time. It takes one motion trajectory from human, and multiplies into 1000s of new trajectories. A robot brain trained on this augmented dataset will generalize far better in the real world. Think of DexMimicGen as a learning signal amplifier. It maps a small dataset to a large (de facto infinite) dataset, using physics simulation in the loop. In this way, we free humans from babysitting the bots all day. The future of robot data is generative. The future of the entire robot learning pipeline will also be generative.”AI and Machine Learning Educational AppDjamgatech has launched a new educational app on the Apple App Store, aimed at simplifying AI and machine learning for beginners. Download “AI and Machine Learning For Dummies PRO” from the App StoreFor more AI innovations, check out AI Innovations in October 2024