Nov. 20, 2023, 2 p.m. | Rachel Gordon | MIT CSAIL

MIT News - Machine learning news.mit.edu

MIT CSAIL researchers innovate with synthetic imagery to train AI, paving the way for more efficient and bias-reduced machine learning.

ai training artificial intelligence bias computer science and technology computer vision csail data efficiency image processing machine machine learning mit mit csail mit schwarzman college of computing research researchers school of engineering synthetic train train ai training

More from news.mit.edu / MIT News - Machine learning

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote