There's a paper in the journal PLoS Computational Biology that is incredibly significant to folks thinking through the intersection of human-computer interaction and learning or entertainment.

The promised gains in efficiency and output often feel just out of reach, as pilots stall, models underperform and even well-funded initiatives struggle to explain how sophisticated algorithms ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Imagine a robot with an all-around bump sensor. The response to the bump sensor activating depends on the previous state of the robot. If it had been going forward, a bump will send it backwards and ...

A challenge frequently faced by successful machining facilities is opportunity that is expanding faster than the shop's workforce can expand. Even a shop that is adding people still has to do more ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

The German Machine Tool Builders' Association (VDW) forecast a -3% year-over-year drop in its members’ manufacturing activity for 2024, down to €14.8 billion ($16 billion) based on slower order volume ...

For 26 years, strange conversations have been taking place in a basement lab at Princeton University. No one can hear them, but they can see their apparent effect: balls that go in certain directions ...