Energy efficiency
Energy efficiency

Energy efficiency

Artificial Intelligence Climate change Computer science and technology Electricity Emissions Energy Energy efficiency Interview Lincoln Laboratory machine learning Staff Supercomputing Sustainability Sustainable computing Technology and society

Q&A: The climate impact of generative AI

As the use of generative AI continues to grow, Lincoln Laboratory’s Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact.

Artificial Intelligence Automobiles Computer modeling Data Design Electric vehicles Energy efficiency Fluid dynamics machine learning Mechanical engineering Research School of Engineering

Want to design the car of the future? Here are 8,000 designs to get you started.

MIT engineers developed the largest open-source dataset of car designs, including their aerodynamics, that could speed design of eco-friendly cars and electric vehicles.

Algorithms Artificial Intelligence Cambridge, Boston and region Campus buildings and architecture Climate Climate change Emissions Energy efficiency Environment Facilities Heat Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research Sustainability

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.

Artificial Intelligence Computer science and technology Electrical Engineering & Computer Science (eecs) Electronics Energy efficiency Invention Light machine learning Materials Research Laboratory National Science Foundation (NSF) Photonics Research Research Laboratory of Electronics School of Engineering

Machine-learning system based on light could yield more powerful, efficient large language models

MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.