Google said Wednesday that it plans to bring its Gemini-powered coding agent AlphaEvolve to commercial users through Google Cloud, turning an internal algorithm-search system into a product test for ...

Abstract: The rapid growth in the size of deep learning models strains the capabilities of dense computation paradigms. Leveraging sparse computation has become increasingly popular for training and ...

In this paper a new hybrid glowworm swarm algorithm (SAGSO) for solving structural optimization problems is presented. The structure proposed to be optimized here is a simply-supported concrete I-beam ...

Abstract: The design of quantum algorithms typically assumes the availability of an ideal quantum computer, characterized by full connectivity, noiseless operation, and unlimited coherence time.

As semiconductor technology pushes the boundaries of scale and complexity, traditional VLSI physical design methodologies are struggling to keep pace. The rise of Artificial Intelligence (AI), ...

With the recent popularity of neural networks comes the need for efficient serving of inference workloads. A neural network inference workload can be represented as a computational graph with nodes as ...

Programming is both an enjoyable and a difficult task. A seemingly small slip can introduce a serious error or create a security vulnerability. The need for, and ...

This document explains and verifies the design goals for an efficient, generic and robust stable sort implementation called driftsort by Orson Peters and Lukas Bergdoll (source code). TL;DR: driftsort ...

As quantum hardware continues to improve, more and more application scientists have entered the field of quantum computing. However, even with the rapid improvements in the last few years, quantum ...