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

Are you passionate about cutting-edge research that bridges the digital and physical worlds? The School of Internet of Things at XJTLU is seeking talented researchers to join our innovative project on ...

LiteParse pairs fast text parsing with a two-stage agent pattern, falling back to multimodal models when tables or charts ...

This important paper substantially advances our understanding of how Molidustat may work, beyond its canonical role, by identifying its therapeutic targets in cancer. This study presents a compelling ...

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...

A375, HEK293T, Sk-Mel-3 and Sk-Mel-24 cell lines were obtained from the American Type Culture Collection. A375 and HEK293T cells were maintained in ...