Recently, a significant technological advancement has emerged in the domestic artificial intelligence sector—SenseTime and ...

In recent years, the demand for high-performance computing in various disciplines of ICTs has affected the dependency on single core processes due to its decline in efficiency. Whereas, this ...

As the scale of complex tasks such as artificial intelligence (AI) training continues to expand, the demand for enhanced computing power is increasing across various industries. Traditional electronic ...

The Rice University team will develop engineered bacterial systems that could serve as the foundation for biological ...

If you're looking for a pure-play quantum computing stock, though, IonQ (NYSE: IONQ) could be your best pick. The company's market cap of over $12 billion makes it the largest of the up-and-coming ...

We provide a detailed evaluation of several parallel programming models, emphasizing both performance and energy efficiency in heterogeneous computing systems.

Nvidia CEO Jensen Huang predicts data center spending will soar to $3 trillion to $4 trillion by 2030. The company dominates ...

For UINTAH, combining asynchronous tasking with Kokkos was crucial. One part provides resilience against delays and ensures that there is always work ready. The other part makes that execution ...

Embodied intelligence applications, such as autonomous robotics and smart transportation systems, require efficient coordination of multiple agents in dynamic environments. A critical challenge in ...

By mimicking the brain’s neurons and synapses, neuromorphic computing is enabling smarter, energy-efficient AI systems. A ...