Helping data centers deliver higher performance with less hardware
Researchers developed a system that intelligently balances workloads to improve the efficiency of flash storage hardware in a data center.
Researchers developed a system that intelligently balances workloads to improve the efficiency of flash storage hardware in a data center.
MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
Academia-industry relationship is an early-stage accelerator, supporting professional progress and research.
Professor Jesse Thaler describes a vision for a two-way bridge between artificial intelligence and the mathematical and physical sciences — one that promises to advance both.
A new hybrid system could help robots navigate in changing environments or increase the efficiency of multirobot assembly teams.
The approach could help engineers tackle extremely complex design problems, from power grid optimization to vehicle design.
Lincoln Laboratory intern Ivy Mahncke developed and tested algorithms to help human divers and robots navigate underwater.
By leveraging idle computing time, researchers can double the speed of model training while preserving accuracy.
By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.