How DiscoRL Is Changing the Rules: AI That Discovers Its Own Learning Algorithms What if artificial intelligence could not only learn from experience but also invent the very rules that govern its learning, outpacing even the best human-crafted algorithms? Google DeepMind has take... AI research algorithm discovery automation DeepMind generalization meta-learning neural networks reinforcement learning
SIMA 2: DeepMind’s Leap Toward Generalist AI Agents in 3D Worlds IMA 2 is Google DeepMind’s next-generation generalist agent built on the Gemini model. Unlike earlier AI systems focused on simple tasks, SIMA 2 brings depth, flexibility, and genuine teamwork to digi... AI agents DeepMind embodied intelligence Gemini model generalization responsible AI self-improvement virtual environments
Is In-Context Learning - Learning? Evidence From 1.89M Predictions In-context learning (ICL) is the claim that an autoregressive large language model can learn a task from a handful of examples in its prompt, then generalize without updating weights. The paper Is In-... chain-of-thought formal languages generalization ICL in-context learning OOD prompting
Unlocking New AI Potential with Deep Researcher and Test-Time Diffusion Cutting-edge artificial intelligence (AI) models excel at many tasks, but their performance often depends on how well they can adapt to new, unseen data. Deep Researcher with Test-Time Diffusion is a ... adaptation AI research deep learning generalization machine learning reasoning test-time diffusion
Revolutionizing AI Reasoning: Microsoft Research's Breakthroughs for Language Models Artificial intelligence is advancing at a remarkable pace, but its true leap lies in enhancing reasoning skills. Microsoft Research is at the forefront, developing innovative approaches that emp... AI research formal methods generalization language models machine learning mathematics reasoning symbolic reasoning