Which tech jobs are actually hiring in 2026? Not always the ones you'd expect. The real growth is in roles that build AI's infrastructure—not just its code.

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

In today's world, not only a degree but also new skills are essential for career advancement. Especially for those already employed, finding time to learn something new is difficult. Balancing office ...

He is talking about security and privacy. But he might just as easily be describing the quiet conviction — held now by a ...

The Department of Bioengineering at the Indian Institute of Science has invited organisations to host MTech Bioengineering ...

Carey Business School experts Ritu Agarwal and Rick Smith share insights ahead of the latest installment of the Hopkins Forum, a conversation about AI and labor on Feb. 25 ...

The headlines are scary, reporting one round of mass layoffs after another from companies including Amazon, Microsoft, HP, General Motors, and UPS ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

A sophisticated Python-based malware deployment uncovered during a fraud investigation has revealed a layered attack ...

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

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

Ever had an idea for something that looked cool, but wouldn't work well in practice? When it comes to designing things like ...