Artificial intelligence models are increasingly writing their own code, leading to speculation about shifts in the job market ...

Silicon is ubiquitous in modern electronics, and now it is becoming increasingly useful in quantum computing. In particular, ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Cerf’s February 2026 Communications Cerf’s Up column, “Does AI Now Represent a Paradigm Shift?” rightly characterizes modern ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that compute shortest paths through vast networks. Now imagine scaling that task ...

Had they included just one of Tony Hoare’s achievements, many scientific careers would be considered prestigious enough. His ...

A licensed attorney with nearly a decade of experience in content production, Valerie Catalano knows how to help readers digest complicated information about the law in an approachable way. Her ...

Typically, AI requires massive amounts of training data to understand complex human actions. However, in real-world scenarios, it is often difficult to secure sufficient video data for specific ...

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

Quantum computers could solve certain problems that would take traditional classical computers an impractically long time to ...

Fujitsu quantum researcher Shinji Kikuchi discusses the quantum computing paradigm shift expected around 2030, as well as how business leaders should approach their preparation. Global technology ...