Student test scores in the U.S. are down from where they were a decade ago. The trend is one that education researchers accept but took most of the decade to identify. Prior to the COVID-19 pandemic, ...

Stephen Byrd, Morgan Stanley head of thematic and global sustainability research, joins 'Power Lunch' to discuss the idea of AI compression, why we need compute to power AI and much more. ‘Turn and ...

WASHINGTON — For the first time ever, American car companies will soon be required to test vehicle safety using dummies that are representative of women. Transportation Secretary Sean Duffy on ...

Much of the data collected in education is effectively thrown away. Students answer individual test questions, but administrators and researchers only see aggregate performance. All the item-level ...

Acurast raised $11 million to launch a smartphone-based confidential compute network that claims tamper-resistant execution on consumer phones. Smartphone-based decentralized confidential compute ...

Google LLC today detailed Private AI Compute, a cloud-based system it uses to power its Pixel handsets’ artificial intelligence features. Some of the AI models used by the latest Pixel 10 smartphone ...

As AI inference scales to billions of queries and emerging reasoning and agentic workflows substantially increase token demand, reliable estimates of per-query energy use are increasingly important ...

Some senior officials who have taken the test have been asked whether they said anything negative about the F.B.I. director, Kash Patel. By Adam Goldman Reporting from Washington Typically, the F.B.I.

Add a description, image, and links to the compute-use topic page so that developers can more easily learn about it.

SAN FRANCISCO, June 23 (Reuters) - Snowcap Compute, a startup working on building artificial intelligence computing chips using superconducting technology, on Monday raised $23 million and said that ...

Add a description, image, and links to the scaling-test-time-compute topic page so that developers can more easily learn about it.

Enhancing the reasoning abilities of LLMs by optimizing test-time compute is a critical research challenge. Current approaches primarily rely on fine-tuning models with search traces or RL using ...