Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...

The North Korean state-run Lazarus Group is running a new campaign known as “Mach-O Man” that turns routine business ...

Abstract: Influence Maximization (IM) is to select a subset of nodes from a social network such that the number of nodes influenced by this subset will be maximized. Due to the growing size of social ...

Researchers at the University of California San Diego and Rutgers University created a brain-inspired device combining memory ...

As the joke goes, CRQC has been 10 to 20 years away for the past three decades. While the recent research suggests that ...

Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...

Somewhere on a blockchain right now, a Bitcoin address that last moved coins in 2015 is sitting with its public key fully ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

While the billion-dollar question is about when quantum computing will become commercially viable, among the problems being tackled at the moment is how to make the ...

A new study challenges fears of quantum mining dominance, arguing that real-world constraints make it impractical while highlighting cryptographic risks instead.

Artificial intelligence (AI) is often imagined as an ethereal network of algorithms and advanced computing chips in the cloud. But behind the scenes, the ability to generate a poem, render a video or ...

KAWASAKI, Japan--(BUSINESS WIRE)--Toshiba Corporation has developed a breakthrough algorithm that dramatically boosts the performance of the Simulated Bifurcation Machine (SBM), its proprietary ...