Constraint-based graph optimization for marine protected area networks: A graph neural network-informed approach
Majdi Argoubi, Khaled Mili
· Ecological Modelling · 0 citations
Category
graph neural networks
2,354 papers
Machine learning-accelerated inverse design of energy materials: A critical review of graph neural networks, physics-informed models, and generative AI for batteries, perovskite solar cells, and electrocatalysts
I. Ekengwu, Bonaventure Ekengwu
· Next Materials · 1 citation
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MIT News · Artificial Intelligence
· news.mit.edu
Oct 26, 2026
At New York Climate Week 2026, MIT connects with a global network
A cross-section of the MIT community convened discussions on topics ranging from data centers and super pollutants to agriculture and education.
MIT News · Artificial Intelligence
· news.mit.edu
Oct 13, 2026
How artificial neural networks build their own learning machinery
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
MIT News · Artificial Intelligence
· news.mit.edu
Jul 15, 2026
3 Questions: Neural transparency and the future of AI design
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
Microsoft Research Blog
· microsoft.com
Jul 13, 2026
Verifying Rust cryptography in SymCrypt, from standards to code
Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.
MIT News · Artificial Intelligence
· news.mit.edu
Jul 6, 2026
Toward a future that preserves benefits of neurotechnology for all
PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.
Google Research Blog
· research.google
Jan 12, 2026
NeuralGCM harnesses AI to better simulate long-range global precipitation
Climate & Sustainability