After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

In the field of experimental solid mechanics – a discipline that focuses on understanding and measuring the physical properties of different materials – researchers have traditionally relied on ...

While it's not ready to join the workforce yet, Atlas, an AI-powered humanoid, is learning how to do human tasks.

The hunt for an alien megastructure in 2015 wasn't totally fruitless. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. In 2015, the same year an ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...

Scientists are exploring the potential of quantum machine learning. But whether there are useful applications for the fusion of artificial intelligence and quantum computing is unclear. Call it the ...

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...