Researchers developed a brain-inspired AI model that uses cognitive maps, controlled randomness, and reusable information to solve problems without testing every possible path. The system adapted to ...

Anchored in the 2026 global campaign's core mission of early detection, equitable access to screening, and compassionate patient support, BioMark advances its multi-marker liquid biopsy to ensure no ...

From Nobel laureate Demis Hassabis to MIT, Stanford, DeepMind, and Apple, Greek scientists are helping shape the future of ...

Beginning in the 1950s, the Soviet Union launched an ambitious programme aimed at developing artificial intelligence. While ...

Machine learning decodes the complex chemical signatures in human breath to deliver rapid, non-invasive tuberculosis diagnoses ...

Most privacy incidents will arise from AI‑generated inferences about individuals by 2029, rather than from direct exposure of ...

The idea that artificial intelligence can “reason” is more intuitive than ever. But intuitions can be wrong, and the science is far from settled.

LinkedIn AI slop cleanup arrives as platform retires its Enhance Post writing tool and launches a crowdsourced reporting button — asking its billion-plus users to flag machine-generated content while ...

Abstract: Machine and deep learning algorithms are rapidly growing in dynamic research of medical imaging. Currently, substantial efforts are developed for the enrichment of medical imaging ...

The arrival of AI has exposed a growing organizational fault line. Although AI and IT are often grouped together as ...

But from the perspective of research mathematicians, and especially young people who are pursuing a Ph.D. in mathematics, ...

Research suggests that the combination of incentives to publish and the use of large language models will lead to more papers, but they will be less refined.