MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration technology that converts the quantum tensor network ...
Parallel Computing starter project to build GPU & CPU kernels in CUDA & C++ and call them from Python without a single line of CMake using PyBind11 ...
Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...
Abstract: Analog computing-in-memory accelerators promise ultra-low-power, on-device AI by reducing data transfer and energy usage. Yet inherent device variations and high energy consumption for ...
Abstract: A novel mixing-mode in-storage-computing (iSC) architecture is proposed and derived as an efficient and promising approach for large-scale matrix– vector multiplication (MVM) operation. It ...
On May 7, 1981, influential physicist Richard Feynman gave a keynote speech at Caltech. Feynman opened his talk by politely rejecting the very notion of a keynote speech, instead saying that he had ...
Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...
CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...
Google DeepMind’s AI systems have taken big scientific strides in recent years — from predicting the 3D structures of almost every known protein in the universe to forecasting weather more accurately ...
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