AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

It is crystal ball gazing time, and who better to talk about what technology trends will emerge next year than a senior leader from Dell?

Developers no longer work in the background. They are at the centre of progress, shaping how GenAI evolves and how it ...

It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data ...

Looking for a cheaper, faster Adobe Acrobat replacement? Explore alternatives including PDNob, LibreOffice, and Inkscape.

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

Since the 2000s, Google Search—and later YouTube and Discover—served as the primary discovery and monetization engines for ...

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface ...

With AI’s power demands intensifying, SSDs are primed to overtake HDDs as the default choice for maximizing performance, ...

Through a recent notice, the Undergraduate Medical Education Board (UGMEB) of the National Medical Commission (NMC) has ...