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 ...

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

Google’s first-stage retrieval still runs on word matching, not AI magic. Here’s how to use content scoring tools accordingly ...

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 ...

Do you agree? Data normalization isn’t the finish line. Harmonization is. Even after basic normalization, datasets can drift ...

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

A system of five models helps peer reviewers to write more constructive comments, but it is not yet known whether this ...

Anthropic research shows developers using AI assistance scored 17% lower on comprehension tests when learning new coding ...