Rachael Hinkle’s work with machine learning intersects political science, legal training and computational methods.

The automotive giant has made Snowflake the core of its organization-wide data mesh and is now exploring agentic technologies.

Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, healthcare, and logistics.

Meta may cut up to 20% of its workforce as it ramps up AI infrastructure spending and restructures engineering teams.

At embedded world, on the DigiKey booth, Lucy Barnard speaks with Marta Barbero at Arduino, about the new Arduino product announcement.

In A Nutshell A new study found that even the best AI models stumbled on roughly one in four structured coding tasks, raising ...

Teradata Enterprise Vector Store unifies structured and unstructured data with agentic capabilities across hybrid ...

A growing body of research is raising alarms about what happens when companies layer generative AI tools across every corner of the workday. The term gaining traction among workplace researchers is ...

Learn how builders at the Agentic Commerce on Arc AI hackathon are turning autonomous AI finance into production-ready systems using Arc L1 and Circle infrastructure.

But today, Nvidia sought to help solve this problem with the release of Nemotron 3 Super, a 120-billion-parameter hybrid model, with weights posted on Hugging Face. By merging disparate architectural ...

As models like Gemini and Claude evolve, their simulated personalities can drift in strange directions—raising deeper questions about how AI systems think and decide.