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 ...

As we scour and scorch the Earth for deeper wells of energy, investors and government agencies are pouring billions into ...

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 ...

Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...

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.

The second batch of “First Proof” problems is meant to evaluate AI’s usefulness for research-level math. The best model got six or seven of the ten questions right.

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 ...