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.

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

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

Celebrating Ten Years of Innovation, Leadership, and Lasting Impact Bert’s decade of contributions has shaped Ring in ...

Coursiv sponsors Python Software Foundation, supporting the open-source language powering 80% of AI tools used by ...

Makeblock mBot2 Rover Kit features anodized aluminum parts, for STEM and more realistic engineering practice. Ages 8+ and 12+ tiers ...

According to the job description, the role sits within the AI & Robotics division under Engineering and R&D and will contribute to building hardware that powers Tesla’s neural-network-driven ...

Examine the MCA 2026 syllabus: a thorough overview of the essential subjects, broken down by semester, and highlighting ...

AI isn’t killing tech jobs — it’s changing them, favoring pros who pair data and cloud savvy with curiosity, empathy and ...

Get the scoop on the most recent ranking from the Tiobe programming language index, learn a no-fuss way to distribute DIY tooling across Python projects, and take a peek at ComfyUI: interactive, ...