The computing industry has reached a significant milestone with the ratification of the 1.0 RISC-V Vector Specification. This development marks the beginning of a new era in computing efficiency, as ...
Vector quantisation and its associated learning algorithms form an essential framework within modern machine learning, providing interpretable and computationally efficient methods for data ...
Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...
A new technical paper titled “Towards a Base-Station-on-Chip: RISC-V Hardware Acceleration for wireless communication” was published by researchers at TU Dresden and Centre for Tactile Internet with ...
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Quantum machine learning: Small-scale photonic quantum processor can already outperform classical counterparts
One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...
TOKYO, Nov 18, 2021 - (JCN Newswire) - - Fujitsu and RIKEN today announced that the supercomputer Fugaku took the first place for the CosmoFlow training application benchmark (1), one of the key ...
Hardware requirements vary for machine learning and other compute-intensive workloads. Get to know these GPU specs and Nvidia GPU models. Chip manufacturers are producing a steady stream of new GPUs.
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