A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.
Assistant Professor Priya Donti has been named an AI2050 Early Career Fellow by Schmidt Sciences, a philanthropic initiative from Eric and Wendy Schmidt aimed at helping to solve hard problems in AI.
MIT spinout DataCebo helps companies bolster their datasets by creating synthetic data that mimic the real thing.
The Department of Electrical Engineering and Computer Science (EECS) is proud to announce multiple promotions.
The MIT senior will pursue graduate studies in technology policy at Cambridge University.
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
PhD students interning with the MIT-IBM Watson AI Lab look to improve natural language usage.
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.
Master’s students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.
The series aims to help policymakers create better oversight of AI in society.