43 stories tagged Science
K-Dense BYOK is a free, open-source AI research assistant that runs on a researcher's own computer. It provides a hash-chained lab notebook for an unalterable record, and lets scientists bring their own AI model while keeping all data, code, and results under their control.
A new Nature study introduces Research Agents, AI assistants that convert research papers into interactive tools capable of answering questions, summarizing findings, and debating conclusions, making complex science more accessible.
AI tools like AlphaFold are helping scientists generate research ideas faster than labs can conduct experiments, creating a bottleneck in fields like biology and chemistry.
OpenAI is offering 100,000 academic researchers free access to its most advanced ChatGPT models through a new program called ChatGPT for Academic Researchers, aiming to accelerate scientific discovery and collaboration across disciplines.
The Trump administration unveiled the first 'Genesis Mission' grants on Thursday, directing $5 billion toward hundreds of AI-driven science projects in an effort the White House has described as 'comparable in urgency and ambition to the Manhattan Project.'
CERN's Genesis Mission aims to develop and deploy self-improving AI models that can autonomously analyze particle physics data, potentially accelerating breakthroughs in high-energy physics and beyond.
Google DeepMind released AlphaAgent, a skill-driven AI framework that decouples retrieval-based question answering from paper-level report generation for materials science literature analysis. Unlike conventional RAG pipelines, AlphaAgent uses explicit skill contracts to handle composition, processing, characterization, and property relationships simultaneously.
OpenAI is collaborating with the U.S. Department of Energy and national labs to deploy frontier AI models for accelerating breakthroughs in energy, climate science, and medical research.
Nvidia is building Japan's first national AI supercomputer, called FRONTIER, to accelerate scientific research in climate science, medicine, and materials science. The project marks a major step in national AI infrastructure and raises questions about how countries should invest in sovereign AI capabilities.
A new arXiv paper proposes 'networked intelligence' — teams of specialized AI systems collaborating like human scientists — to tackle complex scientific challenges that single models cannot solve alone.
Researchers proposed a system to make AI's scientific reasoning transparent. This could help scientists audit AI-generated ideas like they would their own notes. The tool creates a structured record of AI hypotheses and experiments, making it easier to follow the AI's thought process.
Researchers have developed an AI system called Prompt-to-Paper that creates scientific papers from prompts, ensuring claims are grounded in real literature. This addresses issues like fabricated results and lack of quality standards in AI-generated research.
Researchers introduced FirstResearch, a framework that generates a structured Research Question Certificate for AI-suggested scientific questions. The certificate records primitive definitions, assumptions, and falsifiers, allowing scientists to audit the reasoning behind each question.
Researchers developed VERITAS, an AI framework to automatically replicate scientific studies, addressing the growing challenge of verifying published research. This could make it easier to check the accuracy of scientific findings, benefiting both researchers and the public.
Researchers developed REDI, a framework to automate the complex process of preparing scientific data for AI training. It handles everything from data cleanup to tracking where the data came from, making it easier for scientists to use AI effectively.
Anthropic introduced Claude Science, an AI workbench for scientists that consolidates fragmented tools and datasets into one environment, helping to streamline drug development. The move expands Anthropic's reach beyond coding into scientific research.
Researchers created a new test called IsoSci to separate AI reasoning from knowledge recall. They found that 91.3% of AI 'reasoning' improvements actually depend on specific knowledge, not general problem-solving skills.
Researchers are using AI to make it easier to find and reuse simulation models. This could speed up scientific work and reduce redundancy. The study explores how different AI techniques affect the search process.
OpenAI has unveiled GPT-5.6 Sol, a new AI model that excels in coding, science, and cybersecurity. It also includes advanced safety features to prevent misuse. This could revolutionize how professionals use AI in technical fields.
Researchers developed SciLens, an AI system that can verify scientific claims by analyzing both text and images. This tool could make it easier for scientists and the public to check the accuracy of research findings.
Researchers created FirstPass, a dataset and AI model trained on real multi-round peer-review dialogues from Nature Communications. This could make AI evaluations of scientific papers more accurate by learning from actual editorial decision-making, not just stylistic mimicry.
Researchers created SciAgentArena to test how well AI agents handle complex scientific tasks. This could help us understand which AI tools are best for real-world research.
Researchers developed a system that converts complex scientific figures into narrated, region-grounded walkthrough videos. This could make scientific research more accessible to non-experts.
Researchers created a benchmark to test AI's ability to synthesize scientific conclusions. This could improve AI decision-making in critical areas like healthcare.