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

The Honda Civic Type R is as close to perfection as new performance cars ...

Learn prompt engineering with this practical cheat sheet covering frameworks, techniques, and tips to get more accurate and ...

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 ...

A Cell Perspective argues that generative AI models could help tackle cancer’s multiscale, multimodal complexity by ...

Quantitative management is experiencing a revival thanks to advances in AI, which is becoming ever faster and more powerful.

Physicians, dentists and other non-hospital providers account for more than 80% of health care debt collection cases in ...

Masyn Winn and Ivan Herrera will not sign PreArb extensions. They are already under contract for 2026 and for both, this is ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By ...

Once upon a time, they were counterculture idealists bringing power to the people. Today they’re greedy monopolists who’d sooner destroy our democracy than be reined in by government in any way—and ...

Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" ...