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

At first glance, it looks like the start of a human pregnancy: A ball-shaped embryo presses into the lining of the uterus ...

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

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

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

TensorFlow is an open-source machine learning framework built by Google, and this 100-second video explains how it works from ...

Well, sort of. Machine learning, an older form of AI, has long been used in all sorts of scientific research. One branch, ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

Abstract: Graph machine learning methods excel at leveraging pairwise relations present in the data. However, graphs are unable to fully capture the multi-way interactions inherent in many complex ...

Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...