Category
Research
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AI learns how vision and sound are connected, without human intervention
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Learning how to predict rare kinds of failures
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NVIDIA Research Breakthroughs Put Advanced Robots in Motion
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NVIDIA-Powered Supercomputer to Enable Quantum Leap for Taiwan Research
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With AI, researchers predict the location of virtually any protein within a human cell
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Study shows vision-language models can’t handle queries with negation words
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How we’re using AI to drive scientific research with greater real-world benefit
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Google Research and ISTA are using light microscopes to « map » the brain.
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The latest AI news we announced in April
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Hybrid AI model crafts smooth, high-quality videos in seconds
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New tool evaluates progress in reinforcement learning
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Novel AI model inspired by neural dynamics from the brain
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Making AI models more trustworthy for high-stakes settings
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The MIT-Portugal Program enters Phase 4
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Designing a new way to optimize complex coordinated systems
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Our new research into zebrafish brains could help us predict brain activity.
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NVIDIA Research at ICLR — Pioneering the Next Wave of Multimodal Generative AI
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New model predicts a chemical reaction’s point of no return
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“Periodic table of machine learning” could fuel AI discovery
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3D modeling you can feel
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Making AI-generated code more accurate in any language
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Our new C2S-Scale LLM helps researchers have conversations with cells.
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AI Bites Back: Researchers Develop Model to Detect Malaria Amid Venezuelan Gold Rush
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A faster way to solve complex planning problems
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Training LLMs to self-detoxify their language
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New method efficiently safeguards sensitive AI training data
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Google Cloud: the platform for scientific discovery
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Could LLMs help design our next medicines and materials?
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We’re introducing a new way to analyze geospatial data.
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National Robotics Week — Latest Physical AI Research, Breakthroughs and Resources
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The latest AI news we announced in March
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New method assesses and improves the reliability of radiologists’ diagnostic reports
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Researchers teach LLMs to solve complex planning challenges
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MIT Maritime Consortium sets sail
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Early methods for studying affective use and emotional well-being on ChatGPT
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Introducing deep research
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OpenAI o3-mini
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OpenAI o3-mini System Card
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Computer-Using Agent
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Trading inference-time compute for adversarial robustness
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OpenAI o1 System Card
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Advancing red teaming with people and AI
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Introducing SimpleQA
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Simplifying, stabilizing, and scaling continuous-time consistency models
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Evaluating fairness in ChatGPT
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MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
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Learning to reason with LLMs
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OpenAI o1-mini
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Introducing SWE-bench Verified
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Improving Model Safety Behavior with Rule-Based Rewards
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GPT-4o mini: advancing cost-efficient intelligence
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Prover-Verifier Games improve legibility of language model outputs
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OpenAI and Los Alamos National Laboratory announce research partnership
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Improved Techniques for Training Consistency Models
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A Holistic Approach to Undesired Content Detection in the Real World
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Consistency Models
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Extracting Concepts from GPT-4
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Hello GPT-4o
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Understanding the source of what we see and hear online
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The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions
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Video generation models as world simulators
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Building an early warning system for LLM-aided biological threat creation
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Improving mathematical reasoning with process supervision
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Democratic inputs to AI
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GPTs are GPTs: An early look at the labor market impact potential of large language models
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GPT-4
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Point-E: A system for generating 3D point clouds from complex prompts
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Scaling laws for reward model overoptimization
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Introducing Whisper
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Efficient training of language models to fill in the middle
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DALL·E 2 pre-training mitigations
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Learning to play Minecraft with Video PreTraining
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Evolution through large models
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Techniques for training large neural networks
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Teaching models to express their uncertainty in words
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Hierarchical text-conditional image generation with CLIP latents
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A research agenda for assessing the economic impacts of code generation models
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Solving (some) formal math olympiad problems
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Text and code embeddings by contrastive pre-training
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WebGPT: Improving the factual accuracy of language models through web browsing
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Solving math word problems
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TruthfulQA: Measuring how models mimic human falsehoods
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Introducing Triton: Open-source GPU programming for neural networks
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Evaluating large language models trained on code
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Multimodal neurons in artificial neural networks
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Understanding the capabilities, limitations, and societal impact of large language models
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Scaling Kubernetes to 7,500 nodes
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CLIP: Connecting text and images
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DALL·E: Creating images from text
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Generative language modeling for automated theorem proving
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Image GPT
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Language models are few-shot learners
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AI and efficiency
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Jukebox
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Improving verifiability in AI development
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OpenAI Microscope
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Scaling laws for neural language models
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Dota 2 with large scale deep reinforcement learning