With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...
For the 2026 cohort, understanding the BITSAT "exam pattern" is less about memorising a syllabus and more about decoding a strategic requirement.
He hasn’t practiced with the team since his Maine session a week ago. The photos from San Francisco were — Tatum’s words — an ...
Microsoft says glass data storage can preserve data for 10,000 years, using lasers to write voxels inside silica plates. It’s ...
Beijing’s approach on AI borrows from its earlier Digital Silk Road initiative Read more at The Business Times.
Stanford Professor Rebecca Silverman discusses a transformative movement backed by research that is changing literacy ...
Henry Yuen is developing a new mathematical language to describe problems whose inputs and outputs aren’t ordinary numbers.
As CBSE board exams begin, students and parents grapple with confusing dual-exam rules, improvement categories, and policy changes that may be adding stress instead of reducing it.
The files are gradually revealing how he leveraged his fortune and connections to operate a sprawling sex trafficking network that targeted dozens of underage girls over a decade.
A marriage of formal methods and LLMs seeks to harness the strengths of both.
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