Some schools are building in "brain breaks," shorter lessons and practicing meditation to remedy the problem.

Students in Vanessa Malzone’s third grade class at Sheehy Elementary put on their headsets and log into a reading tutoring ...

A worksheet is like off-the-rack formal wear—it might be OK, but it needs a little tailoring to really fit your students and ...

The key to maintaining business continuity in Houston and the greater region during FIFA World Cup 2026 is planning early.

At John Barry Elementary School, the veteran third-grade teaching team laughed and cried when they talked about their long ...

Google says its new TurboQuant method could improve how efficiently AI models run by compressing the key-value cache used in LLM inference and supporting more efficient vector search. In tests on ...

The company says its new architecture marks a shift from training-focused infrastructure to systems optimized for continuous, low-latency enterprise AI workloads. 2026 is predicted to be the year that ...

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...

Readers respond to Charlotte Higgins’s article on the National Year of Reading Charlotte Higgins makes a powerful point (The National Year of Reading celebrates the ‘joy’ of books. But let’s not ...

Nvidia currently dominates the AI chip market, including for inference. AMD should take some share, helped by its deal with OpenAI. However, Broadcom looks like the biggest inference chip winner. The ...

Inference will take over for training as the primary AI compute moving forward. Broadcom has struck gold with its custom ASICs for AI hyperscalers. Arm Holdings should benefit immensely as inference ...

Interactive LLMs (chat, copilots, agents) with strict latency targets Long‑context reasoning (codebases, research, video) with massive KV (key value) cache footprints Ranking and recommendation models ...