The RAM required to run machine learning models on local hardware is roughly 1GB per billion parameters when the model is ...

Abstract: The digital twin is becoming a promising technology for power electronic converters. Digital twin performance strongly relies on parameter identification. The accuracy of the measurements ...

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...

Hackers are targeting developers by exploiting the critical vulnerability CVE-2025-11953 in the Metro server for React Native ...

This week’s cybersecurity recap highlights key attacks, zero-days, and patches to keep you informed and secure.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

A comprehensive developer guide to implementing secure authentication in modern applications. Covers OAuth 2.0, OIDC, ...

A step-by-step guide to installing the tools, creating an application, and getting up to speed with Angular components, ...

Terraform module which creates AWS SSM Parameters on AWS. Users of Terragrunt can achieve similar results by using modules provided in the wrappers directory, if they prefer to reduce amount of ...

100% pure JavaScript Headless support domain-model Highly tested Customizable data-model Zero-dependencies - although Konva.js is used a a rendering backed, it is an optional dependency which can be ...

Abstract: To achieve ideal deadbeat current control of the surface-mounted permanent magnet synchronous motor (SPMSM) drives under parameter mismatch, a model parameter self-correcting deadbeat ...