Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

The productivity gains from AI code generation are real and well-documented, but the ease of prototyping has given many organizations a misleading sense of how far along they actually are.

For most of the industry’s history, the lever for semiconductor performance gains was process-node scaling. That is no longer the whole story. As one recent industry analysis put it, advanced ...

A comparison of eight AI-powered requirements management platforms for 2026, from NLP-based quality analysis and automated test generation to live traceability scoring, covering Jama Connect, IBM ...

The use of AI in digital advertising has changed how e-commerce brands create, test, and scale ad creatives. The Pollo AI ad generator helps simplify this process by reducing reliance ...

AI is a powerful brainstorming tool when used correctly. Here's how to write better prompts and refine ideas more effectively ...

The new image-generating model has numerous use cases, including advertising, decorating and creator-based opportunities.

New data from Ramp and Revelio show that intensive Gen AI adoption is linked to higher headcount and more entry-level hiring, challenging fears that “AI kills jobs” and reshaping IT leaders’ ...

AI can generate C# code far faster than you can fix it. Follow these best practices to ensure that your AI-generated C# is ...

JadePuffer, a ransomware operation, used an AI agent to carry out much of the intrusion chain from reconnaissance, key theft, ...

Agreement strengthens Canada's capacity to develop, test and scale next-generation computing technologies MONTRÉAL, July 8, ...

Few events in history have tested the U.S. energy grid like the AI revolution. As data centers proliferate across the country ...