MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware ...
New computational holography algorithms cut processing time by over half and enable multi-depth augmented reality displays, a ...
Imagine driving down a busy highway. You need to check your speed and navigation, but glancing down at the dashboard takes ...
Abstract: The matrix multiplication algorithm is a fundamental numerical technique in linear algebra and plays a crucial role in many scientific computing applications. Despite the high performance of ...
A new holographic computation method could significantly advance augmented‑reality head‑up displays (AR‑HUDs) for vehicles.
TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...
Last year, AMD and Intel formed the x86 Ecosystem Advisory Group. On the cusp of their one year anniversary, AMD has released a blog post detailing the advancements made by AMD, Intel and "key ...
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Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...
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