New tools are available to help reduce the energy that AI models devour
Amid the race to make AI bigger and better, Lincoln Laboratory is developing ways to reduce power, train efficiently, and make energy use transparent.
Sustainability
Innovation for Inclusion: Hack.The.Bias with Amazon SageMaker | Amazon Web Services
This post was co-authored with Daniele Chiappalupi, participant of the AWS student Hackathon team at ETH Zürich. Everyone can easily get started with machine learning (ML) using Amazon SageMaker JumpStart.…
Optimize generative AI workloads for environmental sustainability | Amazon Web Services
To add to our guidance for optimizing deep learning workloads for sustainability on AWS, this post provides recommendations that are specific to generative AI workloads. In particular, we provide practical…
Meet the 2023-24 Accenture Fellows
The MIT and Accenture Convergence Initiative for Industry and Technology announces the 2023-24 graduate fellows.
Designing resilient cities at Arup using Amazon SageMaker geospatial capabilities | Amazon Web Services
This post is co-authored with Richard Alexander and Mark Hallows from Arup. Arup is a global collective of designers, consultants, and experts dedicated to sustainable development. Data underpins Arup consultancy…
AI pilot programs look to reduce energy use and emissions on MIT campus
A cross-departmental team is leading efforts to utilize machine learning for increased efficiency in heating and cooling MIT’s buildings.
Jackson Jewett wants to design buildings that use less concrete
The PhD student is honing algorithms for designing large structures with less material — helping to shrink the construction industry’s huge carbon footprint.
Supporting sustainability, digital health, and the future of work
The MIT and Accenture Convergence Initiative for Industry and Technology selects three new research projects to support.
SMART launches research group to advance AI, automation, and the future of work
Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.