Evaluating AI Agents: A Step-by-Step Revolution
Researchers introduced the Agent Step Value (ASV) framework, which evaluates AI agents by scoring each action's impact on task outcomes, offering granular insights into decision-making. In tests on 10…
Researchers introduced the Agent Step Value (ASV) framework, which evaluates AI agents by scoring each action's impact on task outcomes, offering granular insights into decision-making. In tests on 10…
Researchers introduced Agent Step Value (ASV), a framework that evaluates each action in an AI agent's sequence by scoring its impact on outcome distributions, tested on 100 open-QA tasks with PubMed …
Anthropic launched Claude Science, an AI-powered research platform integrating over 60 scientific tools for drug discovery, focusing on neglected and rare diseases that big pharma ignores. The company…
Anthropic launched Claude Science, an AI workbench for scientists, alongside Claude Sonnet 5, in one of its biggest product days of 2026. The tool, available in public beta for subscribers, aims to un…
Anthropic launched an AI drug discovery program on May 5, 2025, offering free API credits to researchers in biology and life sciences. The company later launched Claude for Life Sciences and acquired …
Anthropic launched Claude for Life Sciences, a suite of AI tools automating scientific research from hypothesis to regulatory submission. The platform scored 0.83 on Protocol QA, beating the human bas…
Anthropic launched Claude Science, an AI workbench for scientists, integrating tools like PubMed, Jupyter, and R into a single environment. The platform generates reproducible scientific artifacts, ma…
A researcher reproduced Anthropic's paper on natural language activations (NLAs), training models to generate textual descriptions of neural network activations. The study found that a single model tr…
A developer built a client-side DOI-to-BibTeX converter that runs entirely in the browser, sending requests directly to CrossRef's API without any server intermediary. The tool preserves acronyms in t…
Researchers developed an ensemble of large language models, including Google's Gemini and Gemma, to automatically identify EQ-5D health-related quality-of-life studies in PubMed from abstracts. The we…
Noah AI launched a domain-specific AI platform for pharma, biotech, and medical professionals, offering cited reports grounded in PubMed, clinical guidelines, patents, and professional databases. The …
A developer built Paper-to-Action, an AI agent using LangGraph, ChromaDB, and Mistral-7B that monitors scientific research papers and generates personalized health interventions. The agent employs a m…
A developer built a self-improving health platform called Longevity AI that uses five AI agents to automatically update its knowledge base every week without human intervention. The system runs synthe…
Researchers at the University of Southern California have developed a multiscale probabilistic modeling framework that uses Bayesian inference to integrate machine-learning predictions of binding affi…
Hemminger and colleagues introduced CIPHER, a neural-network framework that jointly optimizes gene pooling into measurement channels and downstream cell embedding for aggregated spatial transcriptomic…
A systematic review of 97 studies from 2020 to 2026 found that large AI models in dentistry fall into three categories—language-generative, discriminative vision, and dental-specific foundation models…
Amazon Quick Research now enables researchers to integrate biomedical databases for rare cancer investigations by ingesting structured and unstructured data from sources like PubMed and applying LLM-d…
A developer built a production-grade Medical Retrieval-Augmented Generation (RAG) system that cures LLM hallucinations by grounding clinical AI responses in peer-reviewed evidence from the PubMed API.…
A developer built a clean, reproducible academic dataset pipeline using ScholarAPI, an API that provides access to 30 million open-access papers with pre-extracted full text in structured JSON format.…