The rise of artificial intelligence raises a discomfiting question: if machines can do everything, then how are humans going to make a living?
A new robot is so agile it can run and jump faster than any human.
The Farmbot seeds, waters and weeds your vegetable patch.
Knowing when a bot sounds trustworthy is the next step in digital security.
Nobel laureate Robert Shiller of Yale and Wharton finance professor Jeremy Siegel discuss how the income distribution gap became so wide, and the impact AI could have on it.
MIT associate professor, Iyad Rahwan, has asked 3 million people to consider the “trolley problem” when it comes to self-driving cars.
Google is trying to make Google Translate more accurate by expanding the number of languages that are supported by its neural machine translation software.
Mauricio Armellini and Tim Pike explore the potential consquences of artificial intelligence on the economy.
John Lewis explores the implications of automation and robotics on the economy, by taking a historical perspective.
Yanis Varoufakis looks at Bill Gate's suggestion that we should tax robots.
Margaret A. Boden explores how we can map the future of Artificial Intelligence.
In a DeepMind experiement, an AI systems learned to be aggressive in a game. Mike Loukides says we shouldn't be worried, because it's only learned what we've taught it.
A new experiment from Google lets you play musical duets with a piano-playing AI.
Yisong Yue, assistant professor at the California Institute of Technology, looks at the skills students will need for the workplace of the future.
In an interview, Bill Gates discusses automation and the need for a robot tax.