A new chip aims to dramatically reduce energy consumption while accelerating the processing of large amounts of data.

Google researchers have discovered that AI reasoning models like DeepSeek-R1 and QwQ-32B simulate internal debates between ...

This week’s Current Climate newsletter also looks at Brightline's rising bullet train costs and how Ecolab is solving the ...

Abstract: Recommender systems are essential in digital services for helping users find relevant items. One of the main challenges faced by these systems is the problem of sparsity, where limited ...

As 2026 begins, hiring hasn’t slowed, but it has become sharply more selective, revealing deeper structural shifts beneath ...

Learn how these five coding challenges helped one developer think more creatively.

SharpSMT first fuses DPLL(T) polytope enumeration with new factorization, variable-elimination and caching pre-processing, ...

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers at Sandia National Lab. Abstract “The finite element method (FEM) is one of ...

The world today is marked by paradox. Never before has humanity possessed such extraordinary scientific knowledge, ...

One of the entrepreneurs often referenced in discussions about scalable knowledge-based businesses is Richard Yuzee.

As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into ...