Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Armando Solar-Lezama, Distinguished Professor of Computing and Associate Director of the Computer Science and Artificial ...

Stacker compiled data on the top feature-length films from the past 100 years, crowning a champion for each year using ...

American Tower Corporation (AMT) is downgraded to Hold despite solid fundamentals and a historically high 4% dividend yield.

As AI reshapes work, the disappearance of entry-level roles is creating a dangerous gap in the talent pipeline ...

Advanced internal scouting systems can sort massive amounts of information on NFL prospects, organizing evaluations, grades ...

Some collectible firearms deserve every dollar they bring. Others ride nostalgia, hype, and bad assumptions, pushing ordinary ...

Good morning, and welcome to Ladder Capital Corp.'s Earnings Call for the First Quarter of 2026. As a reminder, today's call is being recorded. This morning, Ladder released its financial results for ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Industrial R&D teams sit on a goldmine of testing and operational data. But until now, unlocking that data required costly, ...