Cracking quantum computing isn’t a matter of upgrading existing computers. It’s an entirely separate approach to computing that relies on the principles of quantum physics. “A fighter jet is not a ...

Despite ongoing speculation around an investment bubble that may be set to burst, artificial intelligence (AI) technology is here to stay. And while an over-inflated market may exist at the level of ...

Abstract: Recent research and practical scenarios demonstrate that integrating transaction-based graph computing into blockchain has become a critical focus in consortium networks. The on-chain ...

TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...

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, ...

A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...

Parallel parking tends to strike fear in new drivers. It's one of the common mistakes that cause people to fail their driving test. But once you know the steps, it's a skill you can rely on every day, ...

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 ...