MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

Matrix multiplication is expensive O(n^3) operations! But what if we could verify the result without doing the full computation? I implemented Freivalds' algorithm in C to probabilistically verify ...

Multiplying the content of two x-y matrices together for screen rendering and AI processing. Matrix multiplication provides a series of fast multiply and add operations in parallel, and it is built ...

Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...

MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration technology that converts the quantum tensor network algorithm into ...

Abstract: Real-time movie recommendation systems must efficiently handle large amounts of sparse user-item interaction data while maintaining great prediction accuracy. Conventional collaborative ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

Siddhesh Surve is an accomplished Engineering leader with topics of interest including AI, ML, DS, DE, Cloud compute.

这不是AI第一次在算法领域取得突破。去年Google的AlphaEvolve已经将4x4通用矩阵乘法从49步优化到48步。但这次的意义有所不同：它再次证明AI正在从“知识检索器”进化为“知识创造者”。