Nov 04, 2020

Private citizens are using AI-driven surveillance to turn the tables on law enforcement. Activists are using face recognition to identify abusive cops, according to The New York Times.

The incessant rhythm of a heartbeat could be the key to distinguishing real videos from deepfakes. DeepRhythm detects deepfakes using an approach inspired by the science of measuring minute changes on the skin’s surface due to blood circulation.

The world’s most sophisticated language model won’t replace your doctor anytime soon. Researchers at Nabla, an AI-enabled healthcare platform, found that GPT-3 lacks the logical reasoning skills to be a useful medical chatbot.

The U.S. military enlisted natural language processing to combat disinformation. Primer, a San Francisco startup, is developing a system for the Department of Defense that sifts through news, social media, research, and reports to spot propaganda campaigns.

According to the lottery ticket hypothesis, the bigger the neural network, the more likely some of its weights are initialized to values that are well suited to learning to perform the task at hand. But just how big does it need to be?

As I write this letter, the vote count is underway in yesterday’s U.S. presidential election. The race has turned out to be tight. In their final forecast last night, the political analysts at fivethirtyeight.com suggested an 89 percent chance that Joe Biden would win.