U.S. immigration officials expect over 2 million migrants to reach the country’s southern border by the end of the year. They’re counting on face recognition to streamline processing of those who seek asylum.

Few companies that use AI understand the ethical issues it raises. While many companies are ramping up investments in AI, few look for and correct social biases in their models, according to a report by the credit-scoring company Fico.

Autonomous weapons are often viewed as an alarming potential consequence of advances in AI — but they may already have been used in combat. Libyan forces unleashed armed drones capable of choosing their own targets against a breakaway rebel faction last year.

AI lately has achieved dazzling success interpreting X-rays and other medical imagery in the lab. Now it’s catching on in the clinic. Roughly one-third of U.S. radiologists use AI in some form in their work.

Face recognition tech tends to be marketed to government agencies, but PimEyes offers a web app that lets anyone scan the internet for photos of themself — or anyone they have a picture of. The company says it aims to help people control their online presence and fight identity theft.

Researchers found serious flaws in an influential language dataset, highlighting the need for better documentation of data used in machine learning.

A libel-detection system could help news outlets and social media companies stay out of legal hot water. CaliberAI, an Irish startup, scans text for statements that could be considered defamatory, Wired reported.

A hybrid of deep learning and symbolic AI took the prize at a major puzzle competition. A system called Dr. Fill outscored nearly 1,300 human contestants at April’s annual American Crossword Puzzle Tournament.

Deploying models for practical use is an industrial concern that generally goes unaddressed in research. As a result, publications on the subject tend to come from the major AI companies.

Craig Wiley has journeyed from the hand-deployed models of yore to the pinnacle of automated AI. Today, as chief product manager of Google Cloud’s AI services, he’s making advanced tools and processes available to anyone with a credit card.

Foiling attackers who try to lure email users into clicking on a malicious link is a cat-and-mouse game, as phishing tactics evolve to evade detection. But machine learning models designed to recognize phishing attempts can evolve, too, through automatic retraining and checks to maintain accuracy.

A computer vision model, continually trained and automatically updated, can boost quality control in factories. Landing AI, a machine learning platform company led by Andrew Ng, helped a maker of compressors for refrigeration check them for leaks.

When every email, text, or call a company receives could mean a sale, reps need to figure out who to reply to first. Machine learning can help, but using it at scale requires a highly automated operation.

AI-powered surveillance is becoming a staple in U.S. banks. Several banks are using cameras equipped with computer vision to bolster security and boost employee productivity, according to Reuters.

A new study suggests tactics for machine learning engineers to cut their carbon emissions. Led by David Patterson, researchers at Google and UC Berkeley found that AI developers can shrink a model’s carbon footprint a thousand-fold by streamlining architecture...