Chemical process simulations are crucial for optimizing industrial operations, but they often require significant computational resources. Now, researchers have developed a new parallel computing ...

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 ...

Blockchain protocols obsess over TPS, while Asia needs abundant block space for complex computation that transforms ...

Deepak Aggarwal is the Principal HPC Systems Manager at the University of Cambridge, where he leads the storage portfolio for Research Computing Services and oversees the AI Research Resource (AIRR), ...

Since the 1990s, evidence has been growing that quantum computers should be able to solve a range of particularly complex ...

Artificial intelligence is constantly evolving, with new features being released all the time from text to video generation from Google Gemini and AI companions having real voices you can hear and ...

If AI is to become pervasive, as the model builders and datacenter builders who are investing enormous sums of money are ...

After releasing its first in-house AI models last month, the company has told employees it will be making ‘significant investments’ to power future tech.

Microsoft Corp. plans to expand its physical infrastructure to train its own artificial intelligence models that it hopes will be competitive with OpenAI, Anthropic and other firms.

Rigetti Computing is taking the superconducting qubit approach. D-Wave Quantum is using quantum annealing to solve optimization problems. Quantum computing could be a game-changing technology, similar ...