The HITOP optical processor achieves O(N²) operations per cycle, enhancing AI model training with high scalability and energy ...

The largest SpiNNaker2 supercomputer for molecule drug discovery yet, with 656,640 cores DRESDEN, GERMANY / ACCESS Newswire / July 28, 2025 / Today SpiNNcloud secured a deal to deliver a ...

The largest SpiNNaker2 supercomputer for molecule drug discovery yet, with 656,640 cores DRESDEN, GERMANY / ACCESS Newswire / July 28, 2025 / Today SpiNNcloud secured a deal to deliver a brain-inspire ...

Resources underutilization is the most troublesome problem faced by almost all deep learning processors. To address this challenge, researchers have proposed various methods, especially in exploiting ...

Organizing data in a specific order, also known as sorting, is a central computing operation performed by a wide range of ...

South Korean AI chip startup FuriosaAI scored a major customer win this week after LG's AI Research division tapped its AI ...

Exploring Monad compares across multiple architectural and performance dimensions, including many technical aspects.

As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with ...

The resulting benefit can vary accordingly. “A small simple branch predictor might speed up a processor by 15%, whereas a ...

Free-threaded Python is now officially supported, though using it remains optional. Here are four tips for developers getting ...

Cognichip’s approach is to develop a physics-informed foundation model that achieves more parallelism than is available in ...

To overcome the reliability issues concerning data's exponential growth, many optimization techniques are deployed in artificial intelligence. Parallelism in a distributed environment provides an ...