About110 PostsScienceAI Mammogram Diagnosis Under Real-World Conditions: Two studies test Google's breast cancer detection models in clinicsIntroduced in 2020, Google’s AI system for detecting breast cancer in mammograms still hasn't been used to diagnose current patients.ScienceBig AI’s Plans Strain CO2 Pledges: Tech giants including Alphabet, Amazon, Meta, and Microsoft acknowledge AI’s strain on environmentCommitments by large AI companies to limit emissions of greenhouse gases are at risk as those companies pursue a massive build-out of data centers, many of which will be powered by fossil fuels in the near term and possibly beyond.ScienceBig Pharma Bets Big on AI: Pharmaceutical kingpin Eli Lilly gave Insilico $2.75 billion for AI-driven drug developmentGenerative AI has proven that it can produce text, images, audio, video, and code. The world’s most valuable pharmaceutical company is betting billions that it can produce drugs as well.ScienceHow Liquids and Gases Behave: A dynamic fluids model appears to solve transformers’ pixellation problemSimulating complex physical systems through traditional numerical methods is slow and expensive, and simulations based on machine learning are usually specialized for a specific type of system, such as water in a pipe or atmosphere surrounding a planet.ScienceDark DNA Unveiled: Google’s AlphaGenome interprets DNA that regulates genetic expressionAn open-weights model could help scientists compare the impact of genetic variations, identify mutations that cause diseases, and develop treatments.ScienceAgent Solves Stubborn Math Problems: Google’s Aletheia uses Gemini 3 Deep Think to find original mathematics solutionsLLMs have achieved gold-medal performance in math competitions. An agentic system showed strength in mathematical research as well.ScienceSleep Signals Predict Illness: SleepFM detects signs of neurological disorders years before symptoms manifestDifficulty sleeping often precedes heart disease, psychiatric disorders, and many other illnesses. Researchers used data gathered during sleep studies to detect such conditions.ScienceMore Robust Medical Diagnoses: Inside Dr Cabot, an agent trained to diagnose complex conditionsAI models that diagnose illnesses typically generate diagnoses based on descriptions of symptoms. In practice, though, doctors must be able to explain their reasoning and plan next steps. Researchers built a system that accomplishes these tasks.ScienceLingua Franca for Science Labs: SAIL’s Science Context Protocol helps AI Agents communicate about local and virtual experimentsAn open protocol aims to enable AI agents to conduct scientific research autonomously across disciplinary and institutional boundaries.ScienceMultimodal Models for Biomedicine by Pengtao Xie: Pengtao Xie of UC-San Diego on why medical models need to visualize tiny chemicals and large organsOver the past few years, we have seen rapid progress in models that jointly reason over text, images, sequences, graphs, and time series. Yet in biomedical settings, these capabilities often remain fragmented, brittle, or difficult to interpret. ScienceFrom Prediction to Action by Tanmay Gupta: Tanmay Gupta of the Allen Institute on building AI for long-horizon tasksAI research in 2026 should confront a simple but transformative realization: Models that predict are not the same as systems that act. The latter is what we actually need.ScienceAI for Scientific Discovery by Adji Bousso Dieng: Adji Bousso Dieng, Princeton University Assistant Professor and AI Researcher, on optimizing models for the long tailIn 2026, I hope AI will transition from being a tool for efficiency to a catalyst for scientific discovery.ScienceThinking Models Solve Bigger Problems: Reasoning models, beginning with OpenAI’s o1 and DeepSeek’s R1, transformed the industryThink step by step. Explain your reasoning. Work backwards from the answer. As 2025 began, models executed these reasoning strategies only when prompted. Now most new large language models do it as a matter of course, improving performance across a wide range of tasks.ScienceAdapting LLMs to Any Sort of Data: SEMI (Sample-Efficient Modality Integration) tackles new domains with few-shot examplesEnabling a pretrained large language model to process a data type other than text (say, images), possibly in a specialized domain (say, radiology), typically requires thousands to millions of examples that pair the other data (perhaps x-rays) with text.ScienceWhite House Orders AI for Science: Genesis Mission would share U.S. data and resources with top AI companiesPresident Trump launched a United States effort to use AI to speed up scientific breakthroughs.Load MoreSubscribe to The BatchStay updated with weekly AI News and Insights delivered to your inbox