Sam Altman rejects viral claims that ChatGPT uses gallons of water per query, but says AI’s total energy demand is a fair concern.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Location can make or break a digital experience. When a visitor lands on your site, you have a split second to greet them with the right language, currency, shipping offer, […] ...

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in modern drug discovery when dealing with intrinsically disordered proteins.

Examine the PCI NEP 2020 B.Pharm Syllabus 2026. Pharmacy students must complete internships, specialized tracks, AI and ...

Java and JavaScript are entirely different languages despite their similar names. Java is compiled and widely used for ...

A 24-year-old Indian-origin engineer shared how joining an AI startup and moving to San Francisco transformed his career. He described the city’s intense work culture and stressed that continuous ...

Turns out the factory of the future doesn't just need a software update... it needs a crash mat. Hangzhou-based Unitree Robotics says it will ship up to 20,000 humanoid robots in ...

AI platform Lovable is making software creation conversational, enabling non‑technical founders to build apps and businesses instantly.

This article breaks down five practical use cases, plus the guardrails leaders need, so organizations can move quickly without creating unnecessary risk.

Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

Respiratory supercomplex formation relieves molecular strain of mitochondrial membranes and reshapes global protein motions, linking membrane reorganization to respiratory function.