To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

I'm not a programmer, but I tried four vibe coding tools to see if I could build anything at all on my own. Here's what I did and did not accomplish.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

SlimToolkit helps shrink Docker images safely, keeping only required files to improve performance, speed, and storage efficiency.

Active malware exploits DLL side-loading in a signed GitKraken binary to deliver trojans, stealers, and remote access malware ...

Vulnerabilities in popular AI and ML Python libraries used in Hugging Face models with tens of millions of downloads allow ...

A key component of election studies is working with diverse forms of data. These include voter lists, candidate details, ...

FMOkit is a command-line toolkit written in Python for both preprocessing and postprocessing of Fragment Molecular Orbital(FMO) calculations. Generates GAMESS input files for FMO calculations from the ...

In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...

Discover the top AI certifications for 2026 to boost your skills, impress employers, and prepare for high-demand AI and tech ...

The RansomHouse ransomware-as-a-service (RaaS) has recently upgraded its encryptor, switching from a relatively simple single-phase linear technique to a more complex, multi-layered method. In ...