DeepMind Blog
Nov 25, 2025
AlphaFold: Five years of impact
Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.
From games to biology and beyond: 10 years of AlphaGo’s impact
Ten years since AlphaGo, we explore how it is catalyzing scientific discovery and paving a path to AGI.
Related stories
DeepMind Blog
May 17
Gemini for Science: AI experiments and tools for a new era of discovery
A collection of science tools and experiments to expand the scale and precision of scientific exploration.
OpenAI Blog
Dec 11, 2025
Ten years
OpenAI reflects on ten years of progress, from early research breakthroughs to widely used AI systems that reshaped what’s possible. We share lessons from the past decade and why we remain optimistic about building AGI that benefits all of humanity.
OpenAI Blog
Nov 20, 2025
Early experiments in accelerating science with GPT-5
OpenAI introduces the first research cases showing how GPT-5 accelerates scientific progress across math, physics, biology, and computer science. Explore how AI and researchers collaborate to generate proofs, uncover new insights, and reshape the pace of discovery.
DeepMind Blog
Jul 22
Accelerating the frontiers of scientific discovery: Google’s $40M commitment to the Genesis Mission
Google commits $40M in AI tokens and credits for the Genesis Mission
OpenAI Blog
Feb 24, 2023
Planning for AGI and beyond
Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity.
OpenAI Blog
Dec 16, 2025
Measuring AI’s capability to accelerate biological research
OpenAI introduces a real-world evaluation framework to measure how AI can accelerate biological research in the wet lab. Using GPT-5 to optimize a molecular cloning protocol, the work explores both the promise and risks of AI-assisted experimentation.
arXiv AI
Sep 25
AI in Science: Early Insights
The paper "AI in Science: Early Insights" analyzes AI’s impact on scientific work using data from 15 million Gemini interactions, 2,600 specialized AI models, and a survey of 600 scientists. It finds widespread AI adoption, complementary use of large language models and specialized tools, significant productivity gains of about seven hours per week, and a shift in research bottlenecks toward hypothesis backlog and verification needs. The study suggests AI can boost scientific productivity but its full effect depends on addressing new downstream challenges.
arXiv AI
Aug 18
Position: AI Agents in Scientific Teams Should Be Studied as Human-Agent Systems
arXiv:2608. 14667v1 Announce Type: new Abstract: Large language model-based agents are increasingly deployed as collaborators in scientific discovery yet most current work focuses on the autonomous capabilities of "AI Scientists".
OpenAI Blog
Jul 28
Scientific computing in the age of agentic AI
A new field report shows how scientists use AI coding agents to modernize scientific computing, accelerating software development and discovery in genomics and beyond.
DeepMind Blog
Mar 17
Measuring progress toward AGI: A cognitive framework
We’re introducing a framework to measure progress toward AGI, and launching a Kaggle hackathon to build the relevant evaluations.
arXiv AI
Jun 9
EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale
arXiv:2604. 17406v3 Announce Type: replace Abstract: The convergence of large language models and agents is catalyzing a new era of scientific discovery: Agentic Science.