AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

Modern AI began with open source, and it ran on Linux. Today, Linux isn't just important for artificial intelligence; it's the foundation upon which today's entire modern AI stack runs. From ...

Remember when we thought smartphones were the pinnacle of tech innovation? We had no idea what was just around the corner.

Formal resistance, including protests, strikes, coordinated logoffs, and legal action, is less common but plays a critical ...

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.

Anmol Agarwal, senior security researcher at Nokia and adjunct professor, advances AI-driven cybersecurity for 5G and 6G ...

Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet ...

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

Abstract: Prediction-based dynamic multi-objective optimization algorithms (DMOEAs) are widely used to explore the relationships of Pareto-optimal solutions (POSs) under continuous time steps, aiming ...

ABSTRACT: Doping is an issue associated with elite sports as athletes attempt to enhance their performance to gain an edge over other athletes. However, the prevalence of doping is continuously ...