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AI research papers and lab updates
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20 sources ↓Forking-Sequences — Part II: Multi-Horizon Forecast Ensembling with Reduced Volatility
Healthcare Benchmarks Are Only as Good as Their Assumptions
Pre-Training Isn’t Bitter Enough
Teaching Vision-Language Models to Speak Cinema
Introducing ARFBench: A time series question-answering benchmark based on real incidents
AWS Trainium Frontier competition: Co-design models and kernels on purpose-built AI chips
34 Amazon Research Awards Build on Trainium recipients announced
How controllers from industrial machinery can coordinate multitask machine learning
A new benchmark for evaluating patient-facing health AI agents
Amazon is investing in the Lean Focused Research Organization
From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction
Intelligence is Free, Now What? <br> Data Systems for, of, and by Agents
2026 BAIR Graduate Showcase
Adaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling
Gradient-based Planning for World Models at Longer Horizons
Identifying Interactions at Scale for LLMs
Information-Driven Design of Imaging Systems
RL without TD learning
What exactly does word2vec learn?
A Dynamical Model of AI Governability
Early Indicators of Reward Hacking via Reasoning Interpolation
How Open Models Are Driving AI Research
NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale
NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI
NVIDIA Research Advances Robotics From Simulation to the Real World
Should AIs be people too?
Statement: Anthropic warns of AI self-improvement risks, considers a pause
FLI President on the White House Executive Order
Magnificent Humanity – The Pope’s First Encyclical Concerns AI
White House working group on AI – Statement from FLI’s Anthony Aguirre
FLI’s President and CEO on Trump’s support for an AI ‘kill switch’
FLI CEO’s statement on the attack against Sam Altman’s home
Prominent Scientists, Faith Leaders, Policymakers and Artists Call for a Prohibition on Superintelligence, as Poll Shows Americans Don’t Want It
Statement: Head of US Policy on the White House AI legislative recommendations
Governor DeSantis Directs Florida State Agencies to Partner with Future of Life Institute to Shield Families from AI Harm
“This is What it Means to be Pro-Human” Declares Broad Coalition of Conservative, Progressive, and Civil Society Groups in Statement of Shared Principles on AI
Statement from Max Tegmark on the Department of War’s ultimatum
Future of Life Institute Launches Multimillion Dollar Nationwide AI Regulation Campaign
AI Company Safety Practices Fall Short of Public Commitments and Show Structural Weaknesses, as Top Performers Widen the Gap
The U.S. Public Wants Regulation (or Prohibition) of Expert‑Level and Superhuman AI
Publishing Planetary-Scale Data is Easy
After Orthogonality: Virtue-Ethical Agency and AI Alignment
AGI Is Not Multimodal
Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning Research
What's Missing From LLM Chatbots: A Sense of Purpose
We Need Positive Visions for AI Grounded in Wellbeing
Financial Market Applications of LLMs
A Brief Overview of Gender Bias in AI
Mamba Explained
Car-GPT: Could LLMs finally make self-driving cars happen?
Do text embeddings perfectly encode text?
Why Doesn’t My Model Work?
Deep learning for single-cell sequencing: a microscope to see the diversity of cells
Salmon in the Loop
Neural algorithmic reasoning
The Artificiality of Alignment
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge
Brain Latent Progression Individual-based spatiotemporal disease progression on 3D Brain MRIs via latent diffusion
A Survey of popular LLM Evaluation Metrics
Open-Source Large Language Models in Radiology: A Review and Tutorial for Practical Research and Clinical Deployment
MemSAM: Taming Segment Anything Model for Echocardiography Video Segmentation
Simplifying Deep Temporal Difference Learning
EchoPrime: Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation
DeepSeek-V3 Technical Report
Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting
Implicit neural representations
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AI research papers and lab updates — page 2
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