Liu’s pathbreaking research aided the transition from analog to digital processing of sound, images and video. His Ph.D. students went on to become leading figures in academia and industry.

The key to more powerful plugins may be the graphics processor that you already have in your computer ...

Neurologists use millisecond-level M/EEG tracking to prove the human brain and AI language models organize and predict language using parallel processing principles.

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using diffusion, resulting in up to 4x faster inference.

Abstract: This research develops an effective and precise collision detection (CD) algorithm for real-time simulation in virtual environments such as computer graphics, realistic and immersive virtual ...

To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly analyze large amounts of data. This currently entails the transfer of data ...

[DOI] J. Löff, D. Griebler, G. Mencagli et al., The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures, Future Generation Computer Systems (FGCS) ...

MIT and NVIDIA Research researchers have developed a powerful new algorithm that drastically accelerates how robots plan their actions. Robots may complete intricate, multistep manipulation tasks in ...

The batch scheduling problem is a type of scheduling problem with a broad engineering background, particularly in manufacturing systems. This problem includes two subtypes: the serial batch scheduling ...

Validates the performance of AI infrastructure by emulating real-world workloads Evaluates how new algorithms, components, and protocols improve the performance of AI training Adjusts and optimizes ...

In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists at Oxford University Physics have demonstrated the first instance of distributed quantum computing ...