AI-generated data is known as synthetic data. Such data can be used for amazing purposes. I explore a study at Stanford ...

Philanthropy continues to inspire extraordinary generosity, but maintaining that support has become more difficult. The ...

Though moviegoers certainly have an appetite for franchise slop these days, it’s a stretch to say that they’d be willing to bite down on wholly AI-generated movies just yet. Even more of a stretch: ...

Crypto exchange Gate has launched Gate Layer, a proprietary Layer 2 blockchain designed to boost transaction throughput and reduce costs, while simultaneously rolling out a major upgrade to the GT ...

Gates revealed his problem-solving technique in a blog post titled “The Buzz Stops Here” in 2020. He said that he has been using the same method since his teenage years, and it has helped him tackle ...

The acronym SLICE-RS represented a revolutionary advancement in firefighting tactics, not only in its effectiveness but also in the process of leveraging a data-driven, scientific approach. The ...

A recent Nature study shows that separated artificial neural networks can accurately model SiC MOSFETs using minimal training data. Silicon carbide MOSFETs are increasingly replacing traditional ...

AI infrastructure is hitting a power wall, and Microsoft believes the solution lies in technology borrowed from smartwatch displays. While power efficient, traditional copper links have a limited ...

SYRACUSE, N.Y. — It's a medical breakthrough to help detect early signs of heart disease. Crouse Hospital in Syracuse is now the first in Central New York to use Artificial Intelligence to determine ...

The Austin city council voted to authorize the Texas capital’s airport to negotiate a new use and land agreement (ULA) with its airline tenants that will shape the scope of future expansion plans.

The Gates Foundation quietly halted supporting a major left-wing dark money network with ties to the Democratic Party earlier this summer, The New York Times (NYT) reported Tuesday. A June 24 internal ...

From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...