
- Artificial intelligence | MIT News | Massachusetts Institute of …- Oct 24, 2025 · The brain power behind sustainable AI PhD student Miranda Schwacke explores how computing inspired by the human brain can fuel energy-efficient artificial intelligence. 
- Explained: Generative AI’s environmental impact - MIT News- Jan 17, 2025 · MIT News explores the environmental and sustainability implications of generative AI technologies and applications. 
- “Periodic table of machine learning” could fuel AI discovery- Apr 23, 2025 · After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized them into a “periodic table of machine … 
- Responding to the climate impact of generative AI - MIT News- Sep 30, 2025 · MIT experts discuss strategies and innovations aimed at mitigating the amount of greenhouse gas emissions generated by the training, deployment, and use of AI systems, in … 
- What does the future hold for generative AI? - MIT News- Sep 19, 2025 · Hundreds of scientists, business leaders, faculty, and students shared the latest research and discussed the potential future course of generative AI advancements during the … 
- Using generative AI, researchers design compounds that can kill …- Aug 14, 2025 · Using generative AI algorithms, the research team designed more than 36 million possible compounds and computationally screened them for antimicrobial properties. The top … 
- Graph-based AI model maps the future of innovation - MIT News- Nov 12, 2024 · The new AI approach uses graphs based on methods inspired by category theory as a central mechanism to understand symbolic relationships in science. This Illustration … 
- Introducing the MIT Generative AI Impact Consortium- Feb 3, 2025 · The MIT Generative AI Impact Consortium is a collaboration between MIT, founding member companies, and researchers across disciplines who aim to develop open-source … 
- MIT researchers develop an efficient way to train more reliable AI ...- Nov 22, 2024 · MIT researchers developed an efficient approach for training more reliable reinforcement learning models, focusing on complex tasks that involve variability. This could … 
- How we really judge AI - MIT News- Jun 10, 2025 · A new study finds people are more likely to approve of the use of AI in situations where its abilities are perceived as superior to humans’ and where personalization isn’t …