Google DeepMind’s new AlphaFold can model a much larger slice of biological life

AlphaFold 3 can predict how DNA, RNA, and other molecules interact, further cementing its leading role in drug discovery and research. Who will benefit?

Over the seven months that the Jacobi pilot was active, 194,000 people passed through Jacobi's scanners, and in just over 50,000 of those cases, the scanners threw up an alarm—an incidence rate of around 26 percent, or over one of every four times someone passed through the scanner. Of those 50,000 alarms, around 43,800, or a little more than 85 percent, were false positives; 7,027 of the alarms, or 14 percent, were law enforcement officers who were presumably carrying their service weapons; and just 295 alarms, or 0.57 percent, were determined to be a non-law enforcement person carrying either a knife, a gun, or a threat type labeled only "other," which likely entails other weapons like bats.

Notably, Evolv's scanners did not get any more accurate as the pilot progressed—there was not a single month where the alarm to visitor ratio fell below 25 percent. In September of 2022, the final month of the seven-month pilot, 27,900 visitors passed through the scanners, and nearly 7,000 threw alarms; out of those 7,000 alarms, just 345 potential threats were identified—a false positive rate of 95 percent, with only 0.45 percent of alerts being non-law enforcement threats. Throughout the entire pilot, the alerts led to the finding of 24 guns, 139 knives, and 132 other potential threats, out of the 50,000 alarms sounded.