A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...

With the increasing complexity of underwater operations, remotely operated vehicles systems face the dual challenges of multi-source interference and component failures in unknown environments. The ...

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The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Abstract: The large-scale integration of renewable energy introduces significant uncertainty challenges to the optimal dispatch of power systems. To fully account for the impact of the randomness in ...

Abstract: Parallel multi-channel structures are extensively applied in nuclear engineering and petrochemical industries, with flow distribution posing a critical challenge in fuel assembly reactor ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

Society is experiencing increased global demand for lithium, a critical resource for rechargeable batteries in electric vehicles, consumer electronics, and energy storage systems. Conventional lithium ...