AI research, releases, and engineering. — page 7
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How Does Touch Lead To Pain Or Pleasure?
Neuroscientist Ishmail Abdus-Saboor discusses efforts to understand how skin contact can be painful or pleasurable, and what touch-obsessed naked mole rats might teach us about hu…
Corals Spin Tiny Vortices to Get Oxygen, but Not if It’s Too Hot
New research is helping biologists understand how an overlooked aspect of coral physiology may affect their fate under climate change.
Why the Legendary Erdős Problems Are Falling to AI
AI’s greatest mathematical successes have come from answers to problems posed by a mid-20th century iconoclast. By examining what makes the Erdős problems unique, mathematicians a…
Is AI Reasoning Right for the Wrong Reasons?
The idea that artificial intelligence can “reason” is more intuitive than ever. But intuitions can be wrong, and the science is far from settled.
Ai2 expands collaboration with Hugging Face to accelerate open science
Ai2 is expanding its partnership with Hugging Face to give its growing portfolio of fully open models, datasets, benchmarks, and applications the storage, bandwidth, and integrati…
Tracing distinctive language in AI-written text
Stony Brook researchers used our infini-gram engine to trace distinctive phrases in AI-generated writing back to existing sources, finding that top-selling self-published books on…
The OlmoEarth Platform: Geospatial inference at planetary scale
How we built the OlmoEarth Platform to fine-tune geospatial models and run continent-scale satellite inference while managing massive data pipelines, distributed compute, and auto…
34 Amazon Research Awards Build on Trainium recipients announced
Amazon announces 34 recipients of the Build on Trainium program, a $110 million credit initiative supporting AI research at 30 universities including Stanford, UC Berkeley, UIUC,…
How controllers from industrial machinery can coordinate multitask machine learning
Instead of compromising among parameter updates dictated by different training objectives, ControlG allocates computational capacity to objectives sequentially and dynamically.
A new benchmark for evaluating patient-facing health AI agents
PatientAgentBench generates a synthetic patient health record, a realistic clinical vignette, and a patient agent that converses with the AI system under evaluation, to capture wh…
The benefits of medical AI assistance vary based on user expertise
New research found non-experts deferred to AI-based assistance in diagnosing skin cancer, even when it was wrong, while clinicians were more likely to catch AI errors.
Alexander Rakhlin named director of the MIT Statistics and Data Science Center
Alexander ‘Sasha’ Rakhlin, the Distinguished Professor in Data, Systems, and Society, IDSS and Brain and Cognitive Sciences at MIT, has been named the next director of the MIT Sta…
Orchard: An open framework for scalable agentic AI
Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from sm…
Echoverse: Deep, evolving environments for computer-use agents
Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more trai…
EvoLib: Turning experience into evolving knowledge
LLMs do not get smarter just by remembering more. EvoLib turns experience into evolving knowledge, taking reusable skills and insights that help models learn and adapt across task…
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