The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...
Chinese researchers have made a significant breakthrough in the field of computing by developing a high-precision scalable ...
As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter ...
Partners span frontier AI labs, weather-modeling startups, and several governments, though the firm declined to name them. “This allows all sorts of developers to kick the tires,” says CEO Guillaume ...
Researchers from Tsinghua University have developed a groundbreaking optical system for computing that performs feature extraction with unprecedented low latency, which has the potential to ...
The Eisenhower Matrix is a tool that helps you prioritise tasks based on urgency and importance. By learning to prioritise ...
It’s become a trendy managerial acronym: VUCA, short for volatility, uncertainty, complexity, and ambiguity, and a catchall for “Hey, it’s crazy out there!” It’s also misleading: VUCA conflates four ...
It’s the only way to make sound trade-off decisions and choose the right practices. by Gary P. Pisano Despite massive investments of management time and money, innovation remains a frustrating pursuit ...
Abstract: This work extends a matrix-based numerical methodology to cover fully canonical generalized Chevyshev (GC) transfer functions by reconfiguring canonical filter topologies into dangling ...
Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...