ARTIFICIAL intelligence is no longer just a peripheral tool in research. The rapid accumulation, availability and ...

CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Chinese and Singaporean researchers have developed a defense mechanism that poisons proprietary knowledge graph data, making ...

A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

Abstract: It is a common practice in modern medicine to prescribe multiple medications simultaneously to treat diseases. However, these medications could have adverse reactions between them, known as ...

Amazon Web Services Inc. wants to solve the efficiency challenges of artificial intelligence agents and reduce their overall inference demands, and it’s tackling the problem with more advanced model ...

Companies investing millions in generative AI may soon find themselves stalled—not by the technology’s limits, but by their people’s. As generative AI becomes more ubiquitous, a paradox has emerged: ...

Abstract: Knowledge graphs (KGs) are key structural elements in the organization of structured information and are applicable to tasks such as semantic search, recommendation or misinformation ...

Community driven content discussing all aspects of software development from DevOps to design patterns. This exam measures your ability to apply machine learning knowledge in the AWS environment. It ...