Name, image and likeness (NIL) deals have flooded college sports with hundreds of millions of dollars — but universities and team general managers have been operating with little formal oversight, ...

Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...

Creative inventions and ideas that show next-level thinking. Terror charge filed in Jan. 6 case I asked 3 restaurant pros to name the most annoying thing diners do ...

Matthew is a journalist in the news department at Game Rant. He holds a Bachelor's degree in journalism from Kent State University and has been an avid gamer since 1985. Matthew formerly served as a ...

Abstract: In this work, we propose a deep learning-based imaging method for addressing the multi-frequency electromagnetic (EM) inverse scattering problem (ISP). By combining deep learning technology ...

Polygon has successfully completed a hard fork on its proof-of-stake (PoS) chain, addressing recent disruptions in transaction finality that temporarily slowed settlement across the network. The ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

Strolling around the major sites in Oslo, from the strikingly modernist opera house along the harbor to the 17th century Domkirke cathedral, there’s something notably absent from the streets of the ...

CTV was supposed to fix this. With granular targeting, real-time delivery, and household-level data, CTV infrastructure promised a level of precision that linear TV could never match. However one of ...

Joshua Kristian McCoy is a freelance writer and film critic from the United States. He is a lifelong film buff, a voting member of the Georgia Film Critics Association, a tournament-winning Smash Bros ...