AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Grok explained the newly open sourced X algorithm in 10 clear and easy points: 1) When you open the "For You" feed on X, it ...

Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.

Healthcare doesn’t fail at AI because of bad models. It fails because the enterprise isn’t ready to trust, govern or ...

The new headline metric is shared moments. These experiences live on through memory and word of mouth. The next wave of ...

Abstract: As an amendment to the deep forest, deep forest regression (DFR) has been recently proposed for industrial process modeling. However, training DFR models is an arduous task in terms of ...

Abstract: In business process management, the increasing complexity of modern business processes underscores the need for accurately understanding parallel activities to efficiently allocate and ...

ABSTRACT: To overcome the problem of calculation errors in the Born approximation when the forward accumulation effect is strong in VTI media, this article combines the De Wolf approximation method ...