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The biggest AI research conference of the year kicks off with 5,355 accepted papers, two controversies that rattled the field, and findings that should worry anyone deploying LLMs in production.
Researchers combine LLM-extracted knowledge with experimental data using Dempster-Shafer theory, achieving 86-92% accuracy on unstudied compositions.
Sakana AI's 'AI Scientist' generated a paper that scored higher than 55% of human submissions at ICLR 2025
New framework combines deep learning with climate models to predict temperature and rainfall months ahead, outperforming traditional methods in some regions.
Michigan State researchers use machine learning to predict gene effects from chemical structures, identifying compounds that reduced tumors in mice.
New AI model predicts how mutations in non-coding DNA affect genes, offering hope for solving rare disease cases that have stumped geneticists for years.
Milton Mueller argues that computer scientists aren't qualified to predict societal outcomes - and that AI existential risk claims rest on unexamined assumptions.
EMBL scientists use AI to spot the earliest markers of chromosomal chaos in cells, finding one in ten divisions produces errors that can seed tumors.
Georgia Tech researchers tracking real CVEs find 35 vulnerabilities from AI-generated code in March alone—and estimate the actual number is 10x higher.
We tested the leading AI research tools on real academic tasks. Here's which ones actually help find papers, and which ones hallucinate sources.
Los Alamos researchers crack the configurational integral using tensor networks, making materials calculations that took supercomputer hours finish in seconds
An open-source AI agent using interactive scaling beats OpenAI's GPT-5-high on Humanity's Last Exam. Here's what makes it different.
University of Geneva researchers create MangroveGS, an AI that reads gene expression patterns to forecast which cancers will metastasize.
Berkeley Lab researchers demonstrate neural networks powered by thermal noise instead of electricity, potentially slashing AI energy consumption.
University of Geneva's MangroveGS uses gene signatures to forecast metastasis risk, potentially sparing low-risk patients from aggressive treatment
GEMINI study finds AI integration catches cancers missed by radiologists while cutting workload by a third
Nature Medicine study finds AI with 'cognitive layer' rated higher than 74% of top human therapy sessions
Partnering with Anthropic, Ultima Genomics, and PacBio, the startup aims to sequence 100 million species and train AI models that can design therapeutics from a disease prompt.
UC Berkeley and UCSF release an open-source radiology AI that processes 3D scans 150x faster than existing models and beats big tech on diagnostic accuracy.
A generative AI trained on 23,000 synthesis recipes can suggest how to make materials that have never existed
AMIE achieved 90% diagnostic accuracy across 100 patients at Beth Israel with no safety stops required, marking a milestone for conversational AI in healthcare
Cleveland Clinic study shows AI screening identified rare disease patients in days that traditional methods missed over months - with better diversity outcomes.
New research shows AI can link your Reddit burner account to your real identity for under $4. The era of casual online pseudonymity may be ending.
University of Missouri releases PSBench, a massive benchmark database to help researchers know when AI protein predictions can be trusted
