Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
The startup is making solid-state transformers capable of intelligently aggregating power from a number of different sources ...
TikTok explains issues with its algorithm. TikTok users in the U.S. reported feed and content issues over the weekend. Issues followed the creation of a separate U.S. TikTok entity, as ...
When you create an algorithm, you need to include precise, step-by-step instructions. This means you will need to break down the task or problem into smaller steps. We call this process decomposition.
Abstract: People have a hard time using cloud computing because of rules concerning privacy and security in fields like healthcare and banking. Fully Homomorphic Encryption (FHE) lets computers work ...
Abstract: Matrix multiplication is one of the most important operations in both scientific computing and deep-learning applications. However, on regular processors such as CPUs and GPUs, the ...
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