Algorithm determines which firms have advanced capabilities—and what others must build first

Understanding how firms build their capabilities, such as managerial skills, technology adoption and innovation capacity, is ...

Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Elektor Magazine

Thermal Camera, with3D Software Lens

When engineers set out to build a DIY thermal imaging camera, they usually resort to expensive microbolometer arrays or cheap ...
CNBC

Upstart chipmakers keep challenging Nvidia. This time it's Microsoft-backed D-Matrix

D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...
IEEE

A Unified Primal and Dual Consensus Algorithm With Predefined-Time Convergence for Time-Varying Optimization

Abstract: This article proposes a unified consensus algorithm with predefined-time convergence aimed at solving time-varying optimization problems based on multiagent systems under connected and ...
IEEE

Effective NSGA-II Algorithm for a Limited AGV Scheduling Problem in Matrix Manufacturing Workshops with Undirected Material Flow

Abstract: Automatic guided vehicles (AGVs) are extensively employed in manufacturing workshops for their high degree of automation and flexibility. This paper investigates a limited AGV scheduling ...