Machine Learning

The Rubik's Cube is the world's top-selling puzzle game with more than 400 million units purchased worldwide.

Designed for users who are deaf or hard of hearing, the update transcribes "sound events" in real time.

One professor said students with creative thinking, persistence and a "willingness to fight" were wanted.

The device learns information as would a child.

The so-called Duchenne smile—a smile that extends to the muscles of the eye—is most frequently associated with lying, researchers said.

Our eyes are a window into our personality.

This filter hides comments containing attacks on a person's appearance and threats to a person's well-being.

They're everywhere.

Facebook: "When you send a photo, our automated systems scan it using photo-matching technology."

Google acknowledged that the use of AI in a military context "naturally raises valid concerns."

The new technology allows the AI to reframe every failure as a success.

It could provide a way to share the content of our imagination.

"It doesn't need to be plain text and a cipher; it could be English and French."

If robots understand how humans think and debate, they could help us break out of so-called filter bubbles.

If white-male biases get into AI, it could have repercussions for women or minorities, adding prejudice to hiring, promotions and salary decisions.

Scientists believe some widely reported research may be deeply flawed.

Imagine being able to know who has suicidal thoughts by looking at brain images.

Despite years of hype, only now does a new study suggest machine learning can crack trading, raising further questions for the future of finance and the part humans will play.

Bots that can negotiate your next deal on a hotel room might also know how to lie to you.

Robots and Artificial Intelligence taking people's jobs is a well-worn narrative. But an equally worrying trend in the age of big-data concerns is access to information, which in the world of capital markets decides who makes money and who doesn't.

A new study finds that computers can acquire the same prejudices as people—linking male names with work, math and science, and female names with family and the arts.

Machine learning will no longer be limited to the websites of large internet companies, but enter our daily lives through the Internet of Things.

The executive chairman of Alphabet explains how technology will improve lives on a scale we've never seen before in history.

When we confuse an intelligent machine with a sentient one, we have made an enormous leap into a world in which only appearance and behavior matter.

When we get to the point where machines are designing themselves, we may have no idea what is going on. The machines may even replace their stated goals with meta-goals.

Data science is really succeeding when it becomes the primary decision-making tool inside organizations.

MIT machine-learning system analyzed television shows including "The Office" to predict human interactions.

If you think there's been head-spinning change since 2007, the next 10 years could short-circuit your cortex.

The machine-learning algorithm was created by scientists at Virginia Tech.

The goal is to challenge Google with smartphone features that give users what they want before they ask.