Enterprise architecture works best today when it borrows start-up habits — testing fast, learning quickly and scaling what actually delivers value.

Building a startup has always been a hero’s journey. You start with ambition, pressure and a narrow window to prove you matter. What’s changed is the toolset.

Many in the AI community believe that the next major revolution will be the era of self-improving AI where AI can improve ...

Anthropic’s new Economic Index shows translation usage rising slightly, with AI used more for review and validation than “one ...

The declaration of CLAT 2026 results has once again brought national attention to the evolving nature of India’s premier law ...

The government have finally published an impact statement of the 10 Year Health Plan. It is fair to say that this falls short ...

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.

Most factory projects finish late and over budget. Physical AI simulations are cutting costs by 30% and reducing errors by 90 ...

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

The iPhone 18 may be a year away — or perhaps even longer for one model — but Apple’s next handsets are beginning to take ...