Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

In the narrative of Industry 4.0, the cloud has long been the protagonist. It promised infinite storage, massive computing power, and the ability to aggregate d ...

Foundational Concepts in Programming Industrial Robots. Before you can get a robot to do anything useful, you need to understand how it works and the math behind its movements. It ...

From smart gadgets in our homes to complex computer programs, tech is everywhere. This makes the whole tech world exciting, but also a bit overwhelming. We’ll look at some of the big changes happening ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

This week's stories show how fast attackers change their tricks, how small mistakes turn into big risks, and how the same old tools keep finding new ways to break in. Read on to catch up before the ...

This week’s recap unpacks how evolving exploits, malware frameworks, and cloud missteps are reshaping modern cyber defense ...

The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ML Python libraries used in Hugging Face models with tens of millions of ...