We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Modern economies run on networks that are expected to be always on, always secure, and increasingly autonomous. Hospitals rely on them for connected medical dev ...

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

Explore the contrasting paths of AI startups Eigent and Papermap in a rapidly evolving landscape, where the launch of ...

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.

Overview Data science roles are expanding as AI tools handle more routine work.Foundation models are replacing task-by-task ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

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

The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.

Learn how to integrate Quantum-Safe HSMs with Model Context Protocol (MCP) to secure AI infrastructure against Shor's algorithm and context injection.

Barry S. Honig  The bulk materials industry is undergoing a significant technological transformation. Organizations across ...

It began, as an engineer’s attempt to fix a nagging problem often does, with irritation. Each night, automated test pipelines ran across an expanding surface area of the Aembit Workload IAM Platform, ...