The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.
New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.
With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.
The prize is the top honor within the field of communications technology.
Seven researchers, along with 14 additional MIT alumni, are honored for significant contributions to engineering research, practice, and education.
Department of EECS Assistant Professors Connor Coley and Dylan Hadfield-Menell have been named to the inaugural cohort of AI2050 Early Career Fellows by Schmidt Futures, a philanthropic initiative from Eric and Wendy Schmidt aimed at helping to solve hard problems in AI.
Six distinguished scientists with ties to MIT were recognized “for significant contributions in areas including cybersecurity, human-computer interaction, mobile computing, and recommender systems among many other areas.”
As the pioneers of a developing field, data scientists often have to deal with a frustratingly slippery question: what is data science, precisely, and what is it good…
Yilun Du, a PhD student and MIT CSAIL affiliate, discusses the potential applications of generative art beyond the explosion of images that put the web into creative hysterics.
On October 6, nearly 50 undergraduate and graduate students and postdocs, primarily from MIT, attended the MIT-IBM Watson AI Lab’s networking event. The goal was to connect young…