BAIR
BAIR's platform is dedicated to providing insights and resources for researchers and practitioners in the field of artificial intelligence (AI), focusing on AI research, machine learning algorithms, and computer vision techniques. Through papers, publications, and research projects, BAIR offers insights into AI technologies and their applications in various domains. Researchers can learn about deep learning models, reinforcement learning algorithms, and AI ethics to advance the field of AI and machine learning.
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From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple SiliconIntelligence is Free, Now What? Data Systems for, of, and by Agents – The Berkeley Artificial Intelligence Research Blog2026 BAIR Graduate ShowcaseAdaptive Parallel Reasoning: The Next Paradigm in Efficient Inference ScalingGradient-based Planning for World Models at Longer HorizonsDefending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign)Repurposing Protein Folding Models for Generation with Latent DiffusionScaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway DeploymentVirtual Personas for Language Models via an Anthology of BackstoriesLinguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination