As tools like large language models become ubiquitous in fields ranging from software engineering to data analysis, a fundamental question emerges regarding the long-term cost of our new-found efficie ...

The research team of Weihong Tan, Xiaohong Fang, and Tao Bing from the Hangzhou Institute of Medical Sciences, Chinese Academy of Sciences, proposed a ...

Jad Tarifi, an artificial intelligence researcher who has spoken about his early work in generative AI at Google and now runs Integral AI, has raised eyebrows with a blunt prediction: the traditional ...

BackgroundAs pivotal drivers of smart cities, mega-mobility systems integrate large-scale transportation networks, communication nodes, and energy ...

Future AI-guided genomic analysis offers the potential to further optimize gene constructs, expression profiles, and performance traits, accelerating the development of next-generation materials.

This paper provides background on the work requirement, outlines system changes that will be needed, describes different ...

Recently, XtalPi Inc. (2228.HK), a global leader in AI- and robotics driven research and development (R&D) platform, announced the successful deployment of its automated formulation stability testing ...

January 17, 2026 - PRESSADVANTAGE - Silverback Webinar has released an announcement emphasizing the growing importance ...

Introduction A significant proportion of adults in England and Wales report experiencing childhood trauma, which is often associated with poor health and negative social outcomes including a ...

Abstract: This paper explores the fault estimation (FE) problem in spatial-temporal parabolic distributed parameter systems (PDPS). Firstly, a nonlinear iterative learning observer (NILO) is designed ...