The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
PlasticsToday

Machine Learning Cracks the Plastics Code

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...

Dan Herbatschek Leads New Initiative in New York and Los Angeles to Advance Transparency and Interpretability in Machine Learning

The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and trust AI.

‘Me, Myself and AI’ host Sam Ransbotham on finding the real value in AI — even when it’s wrong

What's the real value in AI tools — and what separates those who use them well from those who don't? Sam Ransbotham, host of MIT Sloan Management Review's "Me, Myself and AI" podcast, joins Todd ...
Frontiers

Robotics & machine learning for understanding neural networks

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...