TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

Large language models can write essays, summarize legal clauses, explain ancient history, draft emails, and produce code that ...

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

AI infrastructure startup Tensordyne has taped out its first commercial accelerator, with fabrication on TSMC's 3nm process ...

Abstract: We provide novel coded computation strategies for distributed matrix-matrix products that outperform the recent “Polynomial code” constructions in recovery threshold, i.e., the required ...

A new study finds that AI writing tools create a fluency trap, where clean, confident-sounding output leads writers to trust ...

If simulations are to be believed, startup Tensordyne’s new AI chip could crush the performance of market leader Nvidia in ...

Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.

British mathematician Jack Good coined the term “intelligence explosion” 61 years ago to describe what would happen when an intelligent machine entered a runaway cycle of fully automated ...

A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor processing by enabling a single light source to perform multiple operations ...

Building a model capable of RSI would require automating a range of specialist tasks currently carried out by humans. At present data scientists work on the theory of AI and coders put it into ...

bGlobal Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA cDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San ...