Our newest ally in the fight against opioid abuse is a computer that’s learning how to figure out when humans are selling each other prescription medication on the internet. A team of medical researchers in San Diego created an unsupervised AI to look for signs of illegal opioid trafficking on Twitter. After being fed tweets containing specific drug references, the machine was able to produce accurate data on opioid abuse by real-world location, and provide insight into online drug sales. It analyzed over 600,000 tweets and found 1,778 cases of drugs being marketed online. The machine isolated the data geographically…

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