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Abstract: We propose a photonic computing core that supports simultaneous parallel computing of two independent matrix-vector multiplications, with an ultra-compact ...

Researchers have developed an optical computing system that performs feature extraction for quantitative trading with ...

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...

Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes ...

A new optical feature extraction engine, dubbed OFE2, reaches 12.5 GHz, enhancing AI applications in healthcare and finance ...

As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter ...

Researchers from Tsinghua University have developed a groundbreaking optical system for computing that performs feature extraction with unprecedented low latency, which has the potential to ...