Research team proposed new data placement algorithms for scratch-pad memory (SPM) in embedded systems. Their fine-grained and ...

The rapid evolution of persistent memory (PM) technologies has spurred a significant shift in how data structures and algorithms are designed and implemented. Persistent memory, offering non ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Recent advances in algorithm design have focused on reducing redundant data and optimising both computational resource allocation and memory usage. Modern compression techniques not only achieve ...

TSMC's AI-driven growth, advanced tech moat, and global expansion boost resilience amid market uncertainty. Click here to find out why I rate TSM stock a buy.

The Efficient Markets Hypothesis remains a useful benchmark for understanding information processing in financial systems. But as Robert Shiller notes, it is a half-truth. Markets may process some ...

Note that device memory data structures such as rmm::device_buffer and rmm::device_uvector follow these stream-ordered memory allocation semantics and rules ... To instruct a Thrust algorithm to use ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Groundbreaking research on the mechanisms of emotional memory and brain plasticity, the dynamics of collective cognition, and ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published June ...

JWT vulnerabilities remind us that security is not a destination—it's an ongoing journey that requires expertise, vigilance, and the right tools. The question is: do you want to make that journey ...