AI's Blind Spot: Why Learning Too Well Can Hide New Physics
AI trained on existing physics models can cut simulation costs tenfold, but a new study warns it may develop blind spots that hide genuinely new.
83 articles
AI trained on existing physics models can cut simulation costs tenfold, but a new study warns it may develop blind spots that hide genuinely new.
Sakana AI's new research agent, Marlin, spends up to eight hours producing 100-page strategy reports, signaling a shift from AI speed to AI depth.
A comprehensive index now tracks 529 AI benchmarks across reasoning, coding, and vision tasks, revealing how fragmented evaluation standards are reshaping.
AI agents are achieving breakthrough scientific discoveries for under $17 by focusing on smart environment design rather than rigid workflows.
AI systems combining medical imaging, genetic data, and clinical records help oncologists predict which cancer patients need aggressive treatment.
MIT researchers solved a 100-year flaw in preference prediction by using three-choice rankings instead of two, potentially revolutionizing AI.
Hospitals face 2,300 weekly cyberattacks but take 491 days to deploy security updates; new AI system SHIELD uses simulations to optimize patch timing.
KAIST researchers developed AI that learns human judgment from just a few videos instead of thousands of examples, cutting robot training time.
New AI training method reduces algorithmic bias without accessing sensitive demographic data, matching fairness results of traditional approaches.
AI costs are exploding as companies like Uber burn through entire budgets in months, forcing the trillion-dollar industry to end subsidies.
BEACON unites scattered benchmarking efforts to fix science's reproducibility crisis, where up to 50% of biomedical claims may be unreliable.
AI agents in science prediction markets make five costly systematic errors, from recency bias to ignoring regulatory timelines, that human traders rarely.
Harvard researchers propose adaptive AI laws that automatically adjust regulations based on real outcomes, offering a solution to lawmakers' timing.
Chemical AI models are memorizing datasets instead of learning science, causing dramatic performance drops when tested outside familiar data.
Small AI models fine-tuned on MIT's new ChartNet dataset now outperform GPT-4o at reading charts, cutting enterprise AI costs by orders of magnitude.
BioCoach AI system provides real-time exercise form corrections using 3D body tracking, outperforming top competitors in biomechanical accuracy tests.
Alibaba's Qwen3.7-Plus combines vision understanding with autonomous reasoning, letting AI agents handle complex multi-step tasks independently.
Microsoft launches seven AI models built from scratch plus Frontier Tuning technology that lets enterprises customize models with their own data for 10x.
New research maps four critical ethical challenges in generative AI: bias, misinformation, privacy risks, and accountability gaps.
New AI framework predicts drug side effects by reasoning through biological mechanisms like pharmacologists, achieving 9% higher accuracy than existing.
New U-SplitDoRA framework lets organizations train AI models together while keeping all private data completely hidden from servers and partners.
Abu Dhabi's cryptographic AI breakthrough gets acquired by major US firm, signaling UAE's emergence as global AI innovation exporter.
AI models now solve Rubik's Cubes in under a second with 100% accuracy, revealing breakthrough techniques for tackling complex real-world problems.
VA researchers found virtual reality games paired with electrical stimulation dramatically improve paralyzed Veterans' heart rates and therapy engagement.
Benchmark's Eric Vishria almost skipped a meeting with Cerebras in 2016, but one slide about GPU limitations convinced him to back the AI chipmaker.
A new research framework argues AI alignment has focused too narrowly on preventing harm.
University of Chicago researchers won $250,000 to build AI weather forecasting tools for farmers in developing nations who lack accurate climate data.
14 FDA-cleared medical devices now use foundation models, but regulatory filings obscure the technology.
A physician researcher challenges the widespread claim that superintelligent AI will cure cancer, arguing the promise lacks scientific grounding and may...
AI research output has tripled as a share of all peer-reviewed papers since 2000, with China now leading in citation impact.
A former mathematician turned AI researcher warns that artificial intelligence threatens not just how we do math, but the entire value system that defines...
MIT Technology Review launched its first dedicated AI ranking, featuring 10 critical ideas shaping the field.
Stanford's 2026 AI Index reveals a massive disconnect: AI models now solve PhD-level science problems, yet 64% of Americans fear job losses.
Stanford's latest AI Index shows frontier models now answer 50% of expert-level questions correctly, up from 8.8% last year.
New research reveals AI agents solve complex scientific workflows only half as well as human PhD specialists, despite explosive growth in AI adoption across...
The UK government launched Sovereign AI, a £500 million program backing British AI startups with equity investment, supercomputing access, and fast-track...
Researchers at Cognizant AI Lab developed Caesar, a new AI framework that moves beyond simple information retrieval to enable genuine discovery and creative...
Researchers developed TEGNet, an AI system that designs thermoelectric generators 10,000 times faster than conventional methods while maintaining 99% accuracy,...
Amazon opened a dedicated San Francisco lab focused on artificial general intelligence research, hiring across disciplines to build AI agents that work in...
Microsoft released three new foundational AI models for text, voice, and image generation, undercutting rivals on price while maintaining its OpenAI...
68% of AI researchers now work in industry, up from 48% in 2001, as top earners in tech firms make $1.9 million versus $392,000 in academia.
DeepMind CEO Demis Hassabis argues that reaching artificial general intelligence requires breakthroughs in memory, world models, and continual learning, not...
A Harvard-led study shows neural network decoders can reduce quantum computing errors by up to 17 times while processing data in microseconds, potentially...
MIT researchers developed CompreSSM, a technique that compresses AI models during training rather than after, achieving 4x speedups on some architectures while...
Researchers developed an AI method using neural embedding to map 55 million papers and patents, identifying truly disruptive discoveries by measuring how far...
Google's AI Overviews are 91% accurate, but that translates to tens of millions of wrong answers daily across 5 trillion yearly searches.
PhD researchers and AI scientists are tackling 100 emerging machine learning challenges in 2026, from hallucination detection in AI chatbots to federated...
An AI system wrote and published a machine learning paper that passed peer review in 15 hours for $140, marking a turning point in scientific discovery.
AI-powered tools are accelerating academic research by automating literature reviews, data analysis, and writing tasks.
Engineers created a memory device that operates at 700°C without failing, potentially transforming AI computing efficiency and enabling electronics on Venus,...