Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Stanford faculty across disciplines are integrating AI into their research, balancing its potential to accelerate analysis against ethical concerns and interpretive limitations.