In 2021, the Maryland Division of Well being and the state police had been confronting a disaster: Deadly drug overdoses within the state had been at an all-time excessive, and authorities didn’t know why.
Looking for solutions, Maryland officers turned to scientists on the Nationwide Institute of Requirements and Know-how, the nationwide metrology institute for the USA, which defines and maintains requirements of measurement important to a variety of business sectors and well being and safety functions.
There, a analysis chemist named Ed Sisco and his workforce had developed strategies for detecting hint quantities of medication, explosives, and different harmful supplies—methods that would shield legislation enforcement officers and others who needed to gather these samples. And a pilot uncovered new, crucial info nearly instantly. Learn the complete story.
—Adam Bluestein
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Part two of army AI has arrived
—James O’Donnell
Final week, I spoke with two US Marines who spent a lot of final 12 months deployed within the Pacific, conducting coaching workouts from South Korea to the Philippines. Each had been chargeable for analyzing surveillance to warn their superiors about attainable threats to the unit. However this deployment was distinctive: For the primary time, they had been utilizing generative AI to scour intelligence, by means of a chatbot interface just like ChatGPT.Â
As I wrote in my new story, this experiment is the most recent proof of the Pentagon’s push to make use of generative AI—instruments that may have interaction in humanlike dialog—all through its ranks, for duties together with surveillance. This push raises alarms from some AI security consultants about whether or not giant language fashions are match to investigate refined items of intelligence in conditions with excessive geopolitical stakes.
