Researchers engineered a panel of drug-resistant NSCLC models using CRISPR gene editing and gene overexpression techniques.

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

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 ...

Cadet Ananya Ganesh did not expect to be a math major. Cadet Babe “BK” Kwasniak was planning to study history. Together, they ...

Yet, as Oura navigates this expansion, it hits the perennial wall of modern marketing: the tension between short-term performance and long-term brand building. While digital ads can drive immediate ...

Cybersecurity researchers have flagged a new malware called ZionSiphon that appears to be specifically designed to target ...

The ban will focus on "new" or future Wi-Fi router models made outside the US, in an effort to stamp out cybersecurity threats posed by vulnerable networking gear. That said, the FCC also issued a ...

Generative AI models are usually built on deep learning, where multi-layered neural networks scan through endless pieces of ...