Efficient AI

Arvind, longtime MIT professor and prolific computer scientist, dies at 77

Creating bespoke programming languages for efficient visual AI systems

This tiny chip can safeguard user data while enabling efficient computing on a smartphone

Technique enables AI on edge devices to keep learning over time

AI model speeds up high-resolution computer vision

Creating space for the evolution of generative and trustworthy AI

Learning to grow machine-learning models

Nine from MIT named 2023 Sloan Research Fellows

Efficient technique improves machine-learning models’ reliability

Learning on the edge

MIT Researchers Investigate Deep Learning’s Computational Burden

Q&A: Vivienne Sze on crossing the hardware-software divide for efficient AI

Shrinking massive neural networks used to model language

System brings deep learning to “internet of things” devices

What’s Next in AI // Virtual Conference

Shrinking deep learning’s carbon footprint

The path to real-world artificial intelligence

IBM on how AI and creativity go hand-in-hand

MIT presents AI frameworks that compress models and encourage agents to explore

Reducing AI’s carbon footprint

MIT aims for energy efficiency in AI model training

AI Could Save the World, If It Doesn’t Ruin the Environment First