Integrating humans with AI in structural design

A process that seeks feedback from human specialists proves more effective at optimization than automated systems working alone.

David L. Chandler | MIT News Office • mit
March 2, 2023 ~7 min

Efficient technique improves machine-learning models’ reliability

The method enables a model to determine its confidence in a prediction, while using no additional data and far fewer computing resources than other methods.

Adam Zewe | MIT News Office • mit
Feb. 13, 2023 ~7 min


Solving a machine-learning mystery

A new study shows how large language models like GPT-3 can learn a new task from just a few examples, without the need for any new training data.

Adam Zewe | MIT News Office • mit
Feb. 7, 2023 ~8 min

Automating the math for decision-making under uncertainty

A new tool brings the benefits of AI programming to a much broader class of problems.

Rachel Paiste | Department of Brain and Cognitive Sciences | MIT CSAIL • mit
Feb. 6, 2023 ~5 min

Putting clear bounds on uncertainty

Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.

Steve Nadis | MIT CSAIL • mit
Jan. 23, 2023 ~8 min

MIT researchers develop an AI model that can detect future lung cancer risk

Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.

Alex Ouyang | Abdul Latif Jameel Clinic for Machine Learning in Health • mit
Jan. 20, 2023 ~8 min

Program teaches US Air Force personnel the fundamentals of AI

MIT researchers developed and studied a customized AI training program for users with varied backgrounds, which could be delivered across large organizations.

Adam Zewe | MIT News Office • mit
Jan. 11, 2023 ~10 min

Strengthening electron-triggered light emission

A new method can produce a hundredfold increase in light emissions from a type of electron-photon coupling, which is key to electron microscopes and other technologies.

David L. Chandler | MIT News Office • mit
Jan. 4, 2023 ~7 min


Cognitive scientists develop new model explaining difficulty in language comprehension

Built on recent advances in machine learning, the model predicts how well individuals will produce and comprehend sentences.

Department of Brain and Cognitive Sciences • mit
Dec. 22, 2022 ~10 min

Subtle biases in AI can influence emergency decisions

But the harm from a discriminatory AI system can be minimized if the advice it delivers is properly framed, an MIT team has shown.

Steve Nadis | MIT CSAIL • mit
Dec. 16, 2022 ~8 min

/

68