Artificial intelligence systems, such as large language models (LLMs) and convolutional neural networks (CNNs), can analyze large amounts of data and rapidly generate desired content or identify ...

Abstract: Sparse matrix-sparse vector multiplication (spMspV) is one of the key linear algebra primitives for various graph algorithms. With sparse input/output vectors, it has superiority in ...

Artificial intelligence (AI) applications are spreading to more industries every day. However, the amount of energy used by these AI systems has become a significant issue. Modern deep neural networks ...

Background: Quantum image processing is rapidly developing in the field of quantum computing, and it can be successfully implemented on the Noisy Intermediate-Scale Quantum (NISQ) device. Quantum ...

Abstract: Federated learning has gained prominence as an effective solution for addressing data silos, enabling collaboration among multiple parties without sharing their data. However, existing ...

TikTok's ascent to becoming the most popular site on the internet has sparked endless discussions about its stickiness—as if it were capable of hacking our normal cognitive pathways and transmitting ...

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As the lead coder of bsnes, I’ve been attempting to perfect Super Nintendo emulation for the past 15 years. We are now at a point where that goal is in sight, but there we face one last challenge: ...