Thomas Kurian’s Google Cloud Next keynote framed Google’s agentic AI vision. Here are five key takeaways for IT leaders.

AI coding agents are entering a new phase, combining multi-model local setups, plain-English 'vibe coding' for app creation, and enterprise data integrations. Platforms like Google AI Studio are ...

C# developers now have a range of tools to integrate machine learning, from ML.NET and TensorFlow.NET to Microsoft.Extensions.AI for unified API access. In parallel, step-by-step setups for running ...

Unsafe defaults in MCP configurations open servers to possible remote code execution, according to security researchers who ...

Add Yahoo as a preferred source to see more of our stories on Google. CBS19’s Nayeli Carrillo talks about how a local print shop is using artificial intelligence to brainstorm and troubleshoot.

Their business idea came to Jacquee McLeod and Cassi Hunn while the two McHenry County women were in a Florida pool. Their families – including their husbands and two children each – were on vacation ...

What would happen if you asked an artificial intelligence program to build and run a store? The world is about to find out. Shoppers in San Francisco now have access to a store built, developed and ...

Google’s release of Gemma 4 introduces a locally installed multimodal AI model capable of processing text, images and audio while running directly on devices like smartphones and laptops. According to ...

Anthropic PBC today launched Claude Managed Agents, a cloud service that customers can use to build artificial intelligence agents. The company says the offering shortens the development workflow from ...

YouTube is now letting users create an AI avatar that looks and sounds like them for use in Shorts. This feature was teased earlier this year. The creation process is available in the main YouTube app ...

Apple Inc. is positioned to benefit from AI adoption via its unified memory hardware, enabling cost-effective local AI model deployment. AAPL's privacy-centric devices address compliance needs in ...

One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).