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

Chinese technology company Moore Threads unveiled its next-generation graphics processing unit (GPU) architecture on Saturday, supporting artificial intelligence (AI) clusters with more than 100,000 ...

The ability to process, train, and deploy artificial intelligence systems at scale is the defining resource struggle of our ...

Alibaba, a long-time user of Nvidia’s AI processors, is now working on its own competing technology. It recently unveiled a processor with the same performance specs as Nvidia’s AI accelerator ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

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 ...

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 ...

LLMs have revolutionized software development by automating coding tasks and bridging the natural language and programming gap. While highly effective for general-purpose programming, they struggle ...

With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery. Brief ...

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 ...