AlphaEvolve found a more efficient solution — using fewer scalar multiplications. This could lead to more advanced LLMs, which rely heavily on matrix multiplication to function. According to ...

The natural multiply-and-accumulate feature of memristor crossbar arrays promise unprecedented processing capabilities to resistive dot-product engines (DPEs), which can accelerate approximate ...

This paper implements an Artificial Neural Network (ANN) utilizing these two techniques, block matrix multiplication and Double MAC operations. Neural network using Double MAC based block matrix ...

the program showed as follows... Benchmarking matrix multiplication: 2048x2048 * 2048x2048 src/matrix_multiplication.cpp: Implements matrix multiplication using the C++ standard library. Contains ...

See the Birch Glacier collapse: Swiss village buried after huge landslide Diver has close encounter with huge sunfish Harvard grads cheer commencement speakers who urge the school to stand strong ...

Google’s AlphaEvolve AI, its latest coding agent for algorithm discovery, has improved on a 56-year-old algorithm for matrix multiplication. “Provided with a minimal code skeleton for a computer ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...