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

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.

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 ...

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

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 ...

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

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

CardSight AI adds close to 1 million Basketball cards spanning 1957-2026. Platform now covers three major sports with ...

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 ...

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