Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Just like algae blooms in the ocean and pollen in the spring, there’s been an explosion in the past year or two of new software, related tools and lingo from the IT and mainstream/consumer side. Some ...

Plotly announces major update to AI-native data analytics platform Plotly Studio, turning data into production-ready ...

Explore India's need to embrace neurotechnology, addressing policy, ethics, and economic implications in a rapidly evolving landscape.

Docker is a widely used developer tool that first simplifies the assembly of an application stack (docker build), then allows ...

OAuth redirection is being repurposed as a phishing delivery path. Trusted authentication flows are weaponized to move users ...

Malicious AI browser extensions posing as helpful assistants harvested ChatGPT and DeepSeek chat data from nearly 900,000 users, Microsoft says.

Meta is testing an AI shopping research feature that returns product carousels with prices and links, bringing product discovery directly into its chatbot.

GL Communications Inc., a global leader in telecom test and measurement solutions, highlighted the capabilities of its ultra-portable vMobile™, a handheld, ultra-portable solution for automated voice ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.