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 ...

Antigravity is a proprietary fork of VS Code that tightly integrates Google's Gemini 3 models, giving you an edge if you want ...

The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

Researchers discovered remote code execution vulnerabilities in three AI libraries from Apple, Salesforce and Nvidia used by ...

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

Overview Data science roles are expanding as AI tools handle more routine work.Foundation models are replacing task-by-task ...

Rather than broad tech concepts, the focus is on practical tools and languages used by data professionals: Python for ...

OpenAI is asking contractors to upload real work files to benchmark AI against human performance, raising new questions about ...

TradeTrap: A security-focused toolkit to evaluate and harden LLM-based trading agents, featuring prompt injection and MCP hijacking attack modules for resilience testing. RockAlpha: The investment ...