Abstract: Parallel computing approaches have illustrated promising potential in accelerating state estimation (SE). How to efficiently handle data processing and updating has become a crucial problem ...

According to DeepLearning.AI, Andrew Ng highlights in The Batch how deploying parallel AI agents can significantly scale AI systems’ speed and performance by addressing multiple tasks simultaneously, ...

On May 7, 1981, influential physicist Richard Feynman gave a keynote speech at Caltech. Feynman opened his talk by politely rejecting the very notion of a keynote speech, instead saying that he had ...

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...

HAMBURG, Germany, June 12, 2025 – As the ISC 2025 main program comes to a close today, the conference organization announced that Rosa M. Badia, a prominent European scientist specializing in parallel ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...

While there are reasons to be concerned about AI’s climate impact, all hope is not lost. Here’s why. The day after his inauguration in January, President Donald Trump announced Stargate, a $500 ...

The Research Computing Support Group (RCSG) at UT San Antonio offers specialized training sessions to support researchers with their computational needs. These training sessions cover high-performance ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...