Generative AI zoomers say we should use GenAI for everything, and GenAI doomers say we shouldn’t use it for anything. Most of us are in the middle of these two extremes.

Microchip’s products are long-time embedded-design workhorses, and the new solutions turn its MCUs and MPUs into complete platforms for bringing secure, efficient and scalable intelligence to the edge ...

AI 2.0 is different and challenges that belief as larger models are proving far less valuable in practice. Rather than ...

Self-driving cars did not disappear. They simply slipped out of the spotlight. While attention shifted to generative AI, ...

Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...

XRP (XRP) is expanding through institutional partnerships and cross-border payment corridors backed by Ripple’s infrastructure. XRP ETF approvals could bring $15B to $25B in institutional inflows and ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...