As black-box algorithms like neural networks find their way into high-stakes fields such as transportation, healthcare, and finance, researchers have developed techniques to help explain models’ decisions. New findings show that some of these methods can be fooled.

Knightscope’s security robots look cute. But these cone-headed automatons, which serve U.S. police departments and businesses, are serious surveillance machines.

Predicting a molecule’s aroma is hard because slight changes in structure lead to huge shifts in perception. Good thing deep learning is developing a sense of smell.

In March 2018, one of Uber’s self-driving cars became the first autonomous vehicle reported to have killed a pedestrian. A new report by U.S. authorities suggests that the accident occurred because the car’s software was programmed to ignore jaywalkers.

The world’s largest stock market is using AI to flag suspicious trading in real time. Nasdaq is testing a deep learning system to monitor trading of ts U.S. equities. Named Chiron, the system watches for behaviors that indicate potential market manipulation.

A deep learning system is helping biologists who survey offshore fish populations to prevent overfishing. The U.S. agency in charge of protecting ocean resources is using an underwater camera and neural network to count fish in real time.

Looking at images, people see outlines before the details within them. A replacement for the traditional convolutional layer decomposes images based on this distinction between coarse and fine features.

Will biases in training data unwittingly turn AI into a tool for persecution? Bias encoded in software used by nominally objective institutions like, say, the justice or education systems will become impossible to root out.

Would you like an umbrella that fits in your pocket? Researchers used machine learning to invent sturdy but collapsible materials that might lead to such a fantastical object.

Elon Musk has promised a fleet of autonomous Tesla taxis by 2020. The company reportedly purchased a computer vision startup to help meet that goal. Tesla acquired DeepScale, a Silicon Valley startup that rocesses computer vision on low-power electronics.

Drugs undergo rigorous experimentation and clinical trials to gain regulatory approval, while dietary supplements get less scrutiny. Even when a drug study reveals an interaction with supplements, the discovery tends to receive little attention.

Skin conditions are the fourth-largest cause of nonfatal disease worldwide, but access to dermatological care is sparse. A new study shows that a neural network can do front-line diagnostic work.

Advances in computer vision and robotic dexterity may reach the field just in time to save U.S. agriculture from a looming labor shortage. CNN Business surveyed the latest crop of AI-powered farmbots.

AI is capable of picking faces out of the crowd — even if that crowd is squabbling over bananas in a jungle. Researchers at the University of Oxford developed a face recognition app that identifies individual chimpanzees in footage shot in the wilds of Guinea.

Microscopes outfitted with AI-driven augmented reality could improve the accuracy of cancer diagnoses. Google Health developed an attachment for analog microscopes that outlines signs of breast and prostate cancer in real time.