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 ...

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

AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...

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

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 ...

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 ...