New computer vision method helps speed up screening of electronic materials
The technique characterizes a material’s electronic properties 85 times faster than conventional methods.
Sustainability
President Sally Kornbluth and OpenAI CEO Sam Altman discuss the future of AI
The conversation in Kresge Auditorium touched on the promise and perils of the rapidly evolving technology.
Advancing technology for aquaculture
MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.
Extracting hydrogen from rocks
Iwnetim Abate aims to stimulate natural hydrogen production underground, potentially unearthing a new path to a cheap, carbon-free energy source.
Startup accelerates progress toward light-speed computing
Lightmatter, founded by three MIT alumni, is using photonic technologies to reinvent how chips communicate and calculate.
Q&A: A blueprint for sustainable innovation
Atacama Biomaterials, co-founded by Paloma Gonzalez-Rojas SM ’15, PhD ’21, combines architecture, machine learning, and chemical engineering to create eco-friendly materials.
AI meets climate: MIT Energy and Climate Hack 2023
The Energy and Climate Hack presented opportunities for students and companies to collaborate and develop innovative solutions.
Optimize for sustainability with Amazon CodeWhisperer | Amazon Web Services
This post explores how Amazon CodeWhisperer can help with code optimization for sustainability through increased resource efficiency. Computationally resource-efficient coding is one technique that aims to reduce the amount of…
Detection and high-frequency monitoring of methane emission point sources using Amazon SageMaker geospatial capabilities | Amazon Web Services
Methane (CH4) is a major anthropogenic greenhouse gas that‘s a by-product of oil and gas extraction, coal mining, large-scale animal farming, and waste disposal, among other sources. The global warming…
Celebrating Kendall Square’s past and shaping its future
The 15th Kendall Square Association annual meeting explored new and old aspects of the neighborhood.