Until a few years ago, computers couldn’t tell the difference between images of dogs and ones of cats. Today, computer programs use machine-learning algorithms to study piles of data and learn about ...

EMERYVILLE, Calif. — During a recent speech at the University of California, Berkeley, Pieter Abbeel played a video clip of a robot doing housework. In the clip recorded in 2008, the robot swept the ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Will deep learning really live up to its ...

Memories can be as tricky to hold onto for machines as they can be for humans. To help understand why artificial agents develop holes in their own cognitive processes, electrical engineers have ...

People’s daily interactions with online algorithms affect how they learn from others, with negative consequences including social misperceptions, conflict and the spread of misinformation, my ...

Last year Microsoft and Google both showed that their image-recognition algorithms had learned to best humans. They independently created software that could exceed the average human score on a ...

Scikits are Python-based scientific toolboxes built around SciPy, the Python library for scientific computing. Scikit-learn is an open source project focused on machine learning: classification, ...

Research suggests AI trading bots can learn to collude without being programmed to do so, potentially driving up your ...

If you shop on Amazon, an algorithm rather than a human probably set the price of the service or item you bought. Pricing algorithms have become ubiquitous in online retail as automated systems have ...

Uri Gal does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...