Through the act of suggesting some words and not others, the predictive text features in our devices change the way we think — and therefore shape our culture.
Combining archaeological evidence, aerial scans and machine learning algorithms, researchers modeled how this medieval city grew over time.
Autonomous vehicles could one day transform urban transport and make roads safer, but some obstacles need to be overcome first.
The researchers used machine learning to study the 2,000-year-old document.
Humans often stumble when they encounter the unexpected, but they tend to adapt and move on. Artificial intelligence systems, not so much.
By letting machines recommend movies and decide whom to hire, humans are losing their unpredictable nature – and possibly the ability to make everyday judgments, as well.
In a series of experiments, Australian researchers showed how machines can find vulnerabilities in human decision-making and exploit them to influence our behaviour.
A new report from the GovLab and the French Development Agency (AFD) examines how development practitioners are experimenting with emerging forms of technology to advance development goals.
Psychological assessment and treatment is based on well-defined rules, which makes it ripe for a robot takeover.
Amazon CEO Jeff Bezos is stepping down. His successor's AI experience may hold clues for the retail giant's future.
AI algorithms can solve hard problems and learn incredible tasks, but they can't explain how they do these things. If researchers can build explainable AI, it could lead to a flood of new knowledge.
Forced labor is a widespread problem in fisheries on the high seas. Between 2012 and 2018, an estimated 100,000 people may have been victims of forced labor on thousands of different boats.
Training neural networks burns through a lot of energy. As the AI field grows, it's working to keep its carbon foot print from growing with it.
Understanding how cells grow under a variety of conditions is necessary for diagnosing disease and developing treatments in the future.
Computational methods could help identify conspiracy theories as they emerge.
Using machine learning to study over 85 million YouTube comments, a research team has, for the first time, identified linguistic differences among cable news viewers.
In 2016, America's adversaries seemed to cheer electoral chaos and a withering faith in democracy. Now they seem to be hoping democracy can topple a leader they've grown loathe to deal with.
A close look at how you decide what clothes to put on in the morning can help you understand how computers work.
Text generators like GPT-3 can produce remarkably convincing writing, but they can't do away with human supervision just yet.
Problems in the underlying data mean we can't leave algorithms to decide things on their own.