Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

I’m a professor of management information systems at Drexel University’s LeBow College of Business, which recently surveyed more than 500 data professionals through its Center for Applied AI and ...

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

Abstract: The software supply chain has become a critical attack vector for adversaries aiming to infiltrate software development workflows by injecting malicious code into third-party packages and ...

Abstract: In this paper, we introduce the Python to Kubernetes (PTK) framework, a high-level Python-based programming framework for deploying Python applications on top of Kubernetes clusters. PTK ...

Cybersecurity researchers have discovered vulnerable code in legacy Python packages that could potentially pave the way for a supply chain compromise on the Python Package Index (PyPI) via a domain ...

I've implemented BDD using Gherkin syntax, which means anyone on the team—developers, QAs, or business analysts—can read and understand what's being tested. The Behave framework handles the Python ...

Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence (AI) inference engines, including those from Meta, Nvidia, Microsoft, ...

I have a workflow (group chat) written in dotnet and a custom workflow written in python. Both workflows use agents written both in dotnet and python. The python agent is exposed via a2a using ...