​ Generative AI will “supercharge” creators across industries and content types, NVIDIA founder and CEO Jensen Huang said today at the Cannes Lions Festival, on the French Riviera. “For the very first time, the creative process can be amplified in content generation, and the content… Read More »NVIDIA CEO: Creators Will Be “Supercharged” by Generative AI Isha Salian – Archives Page 1 | NVIDIA Blog

​ Humans are always interacting with their surroundings. They move about a space, touch things, sit on chairs, or sleep on beds. These interactions detail how the scene is set up and where the objects are. A mime is a performer who uses their comprehension… Read More »Researchers From Max Plank Propose MIME: A Generative AI Model that Takes 3D Human Motion Capture and Generates Plausible 3D Scenes that are Consistent with the Motion Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Posted by Angelica Willis and Akib Uddin, Health AI Team, Google Research How researchers at Google are working to expand global access to maternal healthcare with the help of AI TensorFlow Lite* is an open-source framework to run machine learning models on mobile and… Read More »On-device fetal ultrasound assessment with TensorFlow Lite noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ Understanding AI’s mysterious “opaque box” is paramount to creating explainable AI. This can be simplified by considering that AI, like all other technology, has a supply chain. Knowing what makes up the supply chain is critical to enforcing the security of the AI system,… Read More »AI’s Opaque Box Is Actually a Supply Chain Karen Kilroy AI & ML – Radar

​ AI language models are becoming an essential part of our lives. We have been using Google for decades to access information, but now, we are slowly switching to ChatGPT. It provides concise answers, clear explanations, and it is usually quicker to find the information… Read More »The Backpack That Solves ChatGPT’s Bias: Backpack Language Models Are Alternative AI Methods for Transformers Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ Instance segmentation refers to the computer vision task of identifying and differentiating multiple objects that belong to the same class within an image by treating them as distinct entities. Over the past few years, there has been a significant upturn in the number of… Read More »SalesForce AI Researchers Introduce Mask-free OVIS: An Open-Vocabulary Instance Segmentation Mask Generator Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​Robots are quickly becoming part of our everyday lives, but they’re often only programmed to perform specific tasks well. While harnessing recent advances in AI could lead to robots that could help in many more ways, progress in building general-purpose robots is slower in part… Read More »RoboCat: A self-improving robotic agent DeepMind Blog

​Optimal transport (OT) theory has been been used in machine learning to study and characterize maps that can push-forward efficiently a probability measure onto another. Recent works have drawn inspiration from Brenier’s theorem, which states that when the ground cost is the squared-Euclidean distance, the… Read More »The Monge Gap: A Regularizer to Learn All Transport Maps Apple Machine Learning Research

​*= Equal Contributors Online prediction from experts is a fundamental problem in machine learning and several works have studied this problem under privacy constraints. We propose and analyze new algorithms for this problem that improve over the regret bounds of the best existing algorithms for… Read More »Private Online Prediction from Experts: Separations and Faster Rates Apple Machine Learning Research

​m*= Equal Contributors Training stability is of great importance to Transformers. In this work, we investigate the training dynamics of Transformers by examining the evolution of the attention layers. In particular, we track the attention entropy for each attention head during the course of training,… Read More »Stabilizing Transformer Training by Preventing Attention Entropy Collapse Apple Machine Learning Research