We often think of AI as a technological revolution that will transform industries, disrupt jobs and change the nature of competitive advantage. Inside organisations, though, it is ...

By feeding centuries-old nursery rhymes and folklore recordings into their own model, linguists in Louisiana hope to help a ...

Abstract: The resource-constrained edge devices are struggling with the rising computational demands of modern user applications with many dependent tasks. In this paper, we investigate the dependent ...

As the nation marks 250 years since the signing of the Declaration of Independence, the Smithsonian invites educators to ...

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.

The Eleventh Conference on Machine Translation (WMT26) has moved into its active evaluation phase, with test data releases and submission windows now opening across several of the conference’s shared ...

Sakana AI Fugu launched June 22 as a multi-agent AI orchestration system that claims Anthropic Fable 5-level benchmark ...

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

The path from block-based programming to vibe coding represents a shift from mastering the mechanics of implementation to ...

Catecholaminergic modulation by methylphenidate affects appetitive and aversive Pavlovian biases of approach and avoidance in humans depending on individual differences in working memory capacity.

The Power of Attention Networks: Dr. Feng isolated baseline connectivity within attention and cognitive control networks as the absolute strongest predictor of training success. These executive ...

Abstract: Large Language Models (LLMs), as advanced AI technologies for processing and generating natural language text, bring substantial benefits to the Industrial Internet of Things (IIoT) by ...