AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

As artificial intelligence hardware advances toward higher efficiency and greater intelligence, enabling individual physical devices to perform more ...

"PICASSO will revolutionize photonic circuit architectures, from compute to light detection and ranging, by expanding the field’s focus from individual components to include a more holistic circuit- ...

A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...

A strand of hair cuts across a laser beam, creating interference fringes on the wall of a science museum in New York City. High-school students use the spacing between bands to calculate the hair’s ...

Abstract: Sparse matrices have recently played a significant and impactful role in scientific computing, including artificial intelligence-related fields. According to historical studies on sparse ...

Abstract: Emerging applications, e.g., machine learning, large language models (LLMs), and graphic processing, are rapidly developing and are both compute-intensive and memory-intensive. Computing in ...

INT32 Data Range Limitation: The original cumm matrix multiplication operation raises an error when encountering int32 data ranges. When the mesh is very large, this ...

By integrating NVIDIA’s digital twins, foundation models and perception AI, Multiply Labs is pioneering a new era of robotic ...