New Method Improves Machine Learning Models’ Reliability, With Less Computing Resources (MIT, U. of Florida, IBM Watson)

A new technical paper titled "Post-hoc Uncertainty Learning using a Dirichlet Meta-Model" was published (preprint) by researchers at MIT, University of Florida, and MIT-IBM Watson AI Lab (IBM Research). The work demonstrates how to quantify the level of certainty in its predictions, while using less compute resources. “Uncertainty quantification is essential for both developers and users o... » read more

It’s All About The Data

Ah, the wonders of math and physics — they do make the world go ‘round, do they not? And even in the world of chip design, of course, it is the fundamental understanding of the physics of electricity, materials, metals, etc., that it is all possible. I just wanted to stop for a moment to marvel at how those fundamental understandings of the math and physics of things have been abstracted... » read more