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

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

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Creating tasks with a focus on students’ autonomy—by providing choices, for example—helps them see the relevance of homework.

In the shared video, when instructed to bring a can, the Menteebot V3 humanoid first interprets the spoken request, then ...

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...

Abstract Deep learning models have been successful in many areas, but understanding their behavior remains a challenge. Most prior explainable AI ...

How Do Non-Human Identities Influence Cybersecurity Strategies? What role do Non-Human Identities (NHIs) play in your cybersecurity strategy? Where technology is increasingly shaped by ...

The lightweight Mikado method opens up a structured way to make significant changes even to complex legacy code.

Overview: AI is transforming cybersecurity from reactive defense into predictive, autonomous, and intelligence-driven ...

Tao, J. and Ke, Y. (2026) Facilitating or Inhibiting: A Cross-Level Study of the Impact of Artificial Intelligence Usage on Employees’ Thriving at Work. Open Journal of Business and Management, 14, ...

Most people try to manage their daily responsibilities and future plans separately, but the real challenge becomes clearer ...