Today, Nvidia’s revenues are dominated by hardware sales. But when the AI bubble inevitably pops, the GPU giant will become ...

For most investors, how much a stock's price changes over time is important. This factor can impact your investment portfolio as well as help you compare investment results across sectors and ...

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

Public records clearly shows that for the past 25 years, CERN has repeatedly built inadequate FPGA-based Level-1 Triggers, necessitating multiple rebuilds. During the Higgs boson discovery ...

A Tensor Processing Unit (TPU) is a specialized chip designed to accelerate AI and machine learning (ML) tasks. Unlike traditional computer processors (CPUs) or graphics processing units (GPUs), TPUs ...

Elise London is the CTO of Lakeside Software, where she oversees the design and delivery of its digital employee experience platform. I still remember when GPUs burst onto the scene 25 years ago. More ...

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even faster, more efficient performance—especially for generative AI, where ...

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...

The project was co-funded by the German Federal Ministry for Economic Affairs and Climate Action. The AI algorithms developed in the project, proven in a test vehicle, control and optimise all ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...