Abstract: Graph neural networks (GNNs) have demonstrated significant success in solving real-world problems using both static and dynamic graph data. While static graphs remain constant, dynamic ...

In this video, I will cover the process of solving a real-world problem using a 3D printer, detailing the steps taken to go from concept to reality. The problem addressed involves parts needed for ...

Nearly 40 years ago, Melissa and Doug Bernstein started what would become a beloved, multimillion-dollar company, Melissa & Doug Toys. Melissa, a 1987 Duke alumna, with husband Doug in 2013 created ...

Blockchain use cases have expanded well beyond cryptocurrency trading into industries that require transparency, security, and efficiency. Enterprises now rely on distributed ledgers to track goods, ...

Fei-Fei Li’s World Labs has secured a $200 million investment from software design giant Autodesk as part of a larger $1 billion round from backers, including AMD, Emerson Collective, Fidelity, Nvidia ...

President Trump recently declared that “people should live in homes, not corporations,” echoing a widespread frustration with rising housing costs and the belief that Wall Street landlords are ...

PHOENIX — The Phoenix Union High School District has partnered with an organization to help give students experience with small and big businesses in our community. The goal is for students to help ...

There is no shortage of debate when it comes to electric trucks and winter driving. Cold weather tends to magnify every concern skeptics already have from reduced range to longer charging times and ...

Silicon Valley has created the impression of the archetypal technology company as founded by smart, young guns in a garage who tinker around to find a product that can make them, and their investors, ...

President Donald Trump’s greedy stare at Greenland, with its mineral riches and strategic location, has put the world on high alert about what’s going on in the Arctic. Unfortunately, this obsession ...

Abstract: Reinforcement learning (RL) offers promising solutions for control tasks in industrial cyber-physical systems (ICPSs), yet its real-world adoption remains limited. This paper demonstrates ...