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 headlines are scary, reporting one round of mass layoffs after another from companies including Amazon, Microsoft, HP, General Motors, and UPS ...
If we don't prepare students to be AI-literate, we are effectively locking them out of the most competitive and highest-paying roles in the new economy.
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 ...
Sasha Stiles turned GPT-2 experiments into a self-writing poem at a Museum of Modern Art installation—and a new way to think about text-generating AI optimization ...
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