Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...

Pattern Group is benefiting from a structural tailwind, has a strong tech moat, and also has a proven execution track record.

A woman has filed a lawsuit against former NHL player Willie Mitchell and a resort in Tofino, B.C., alleging she was sexually assaulted by ex-defenceman while she was "extremely intoxicated." The ...

After two sold-out home football games and record student turnouts, Arizona State University officials are looking for ways to ease entry to jam-packed Mountain America Stadium. So the school is ...

Most ChatGPT use is non-work, focused on writing tasks. Claude is used more for automation, especially coding. AI adoption is uneven, with wealthier regions benefiting first. Two of the biggest AI ...

Business travel spending worldwide is projected to hit an all-time high by the end of 2025. Coupled with an explosion in AI tools that promise to turn corporate travel programs into high-performance ...

Abstract: An important task in interpreting 2-D magnetotelluric (MT) sounding is to correctly identify the transverse electric (TE) and transverse magnetic (TM) polarization apparent resistivity ...

[1] F. Scarselli, M. Gori, A.C. Tsoi, M. Hagenbuchner, and G. Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61 80, 2009.

A federal appeals court on Tuesday ruled against President Trump's use of an 18th century wartime law to rapidly deport Venezuelan migrants, finding "no invasion or predatory incursion." The Trump ...

The Milwaukee Police Department has not relied on evidence-based research in their decision to use facial recognition technology. Instead, they are disregarding research that unequivocally shows that ...

People tend to be self-preoccupied. Self-interest is good when it ensures that one's needs are met, but it can also be maladaptive; research shows that the tendency to self-focus promotes the ...

The companies that are succeeding with in-house AI, however, have seen revenue jump from zero to $20 million in a year. U.S. businesses have invested between $35 billion and $40 billion into internal ...