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

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 ...

Ever had an idea for something that looked cool, but wouldn't work well in practice? When it comes to designing things like ...

NLP offers powerful opportunities to support the UN Sustainable Development Goals (SDGs)—including SDG2 (Zero Hunger). In the ...

Autonomous vehicles have made remarkable progress over the past decade, accumulating millions of miles and performing well on highways, in controlled test areas, and in select urban zones. However, ...

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 ...

Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.