DeepMind Blog
Nov 25, 2025
AlphaFold: Five years of impact
Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.
Engineering more resilient crops for a warming climate
Scientists are using AlphaFold to strengthen a photosynthesis enzyme for resilient, heat-tolerant crops.
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Ten years since AlphaGo, we explore how it is catalyzing scientific discovery and paving a path to AGI.
MIT News AI
Aug 20
Paving the way for greener ammonia production
New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.
MIT News AI
6d ago
New formulation helps RNA vaccines withstand high temperatures
MIT engineers have developed a new formulation that stabilizes the lipid nanoparticles used to deliver RNA vaccines. This improvement could enable the vaccines to withstand higher temperatures, potentially making them easier to distribute worldwide.
arXiv AI
Jul 15
Calibration-First Reward-Component Auditing for Reinforcement Learning Control in Smart Greenhouses
arXiv:2607. 11959v1 Announce Type: new Abstract: Greenhouse reinforcement learning can test climate-control ideas at a speed and scale that is difficult to achieve with crop experiments alone.
MIT News AI
Jun 10
Startup’s nuclear-inspired cooling system could make data centers more sustainable
Founded by two researchers from MIT, Ferveret reduces the amount of energy and water required to cool the chips that power AI.
arXiv Machine Learning
Sep 23
RootQuantV2: Adapting a Vision Foundation Model for Root-Trait Regression from Minirhizotron Imagery
RootQuantV2 adapts a frozen DINOv3 Vision Transformer to predict root length and surface area directly from minirhizotron images, eliminating the need for manually traced masks. By training only 11.9 M parameters (3.78 % of the model), it achieves R² values of 0.950 for length and 0.930 for area, improving RMSE by 24.3 % and 20.7 % over the previous RootQuant CNN approach. The method repurposes existing numeric archives of root traits for high‑throughput, automated phenotyping in field‑grown crops.
arXiv AI
Jul 7
Automated Data Readiness for Scientific AI
arXiv:2607. 02771v1 Announce Type: new Abstract: Leadership computing facilities steward large-scale scientific datasets that routinely require substantial transformation before serving as AI training data.
arXiv AI
Sep 1
Plant-Inspired AI: Plants as Inspiration for Novel Problem Formulations, and Two Case Studies
arXiv:2608.29356v1 Announce Type: new Abstract: Artificial Intelligence (AI) has long been inspired by studies of biological intelligence. Reinforcement learning, for instance, drew inspiration from...
arXiv AI
Jul 10
AI-integrated models for assessing agricultural resilience
arXiv:2607. 07759v1 Announce Type: new Abstract: Agricultural supply chains are vulnerable to disruptions through linked biophysical and economic systems.
Hugging Face Trending Papers
Sep 22
From greenhouse climate to individual leaves: an organ-resolved model of lettuce growth
Greenhouse climate management aims to improve crop production while limiting energy use. This requires knowing how a crop will respond before conditions are changed. A crop digital twin can support th...
arXiv Computer Vision
Sep 24
From greenhouse climate to individual leaves: an organ-resolved model of lettuce growth
A unified framework was created to simulate lettuce growth by modeling each leaf’s physiology and structure within a greenhouse environment. The model integrates leaf-level photosynthesis, carbon allocation, and 3‑D plant growth in NVIDIA Isaac Sim, allowing radiation interception to influence growth and vice versa. Validation against greenhouse data shows low prediction errors and demonstrates how variations in light, CO₂, and plant position affect dry weight, leaf number, and tipburn incidence.