In A Nutshell A new study found that even the best AI models stumbled on roughly one in four structured coding tasks, raising real questions about how much developers should rely on them. Commercial ...

In most life sciences organizations, each function has built its own analytics environment with separate data models, dashboards, and reporting processes. Sales teams often rely on one set of ...

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

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.

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and Keras.Growing demand for AI profes ...

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.

Nvidia CEO Jensen Huang hints at agentic AI at GTC; a Groq-based LPU could boost inference, defend its moat, and more. Click ...

Overview Data science jobs are growing fast in India. From AI engineers to data scientists, here is a list of top careers in 2026 with salaries, roles, and hiri ...

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

Discover AI Productivity Tools Adoption in Software Engineering Statistics with key data, and trends shaping developer productivity.