Abstract: Training generative adversarial networks (GAN) using too little data typically leads to discriminator overfitting, causing training to diverge. We propose an adaptive discriminator ...

I still remember the exact moment the warmth left Emily's eyes. It wasn't a sudden explosion of anger, but a quiet, devastating realization that I had finally pushed her too far. "I can't do this ...

One of the best upgrades you can make to your home office is the addition of a monitor arm. A good-quality arm not only frees up usable space on your desk’s surface, it enables more ways to move and ...

Thirty-three of the 35 past Masters winners were in attendance for the Champions Dinner on Tuesday night. It included everyone from 90-year-old Gary Player to the unheralded (“Who let Charl Schwartzel ...

Right now my game is in the best spot it’s ever been. I have gotten down to a scratch handicap for the first time ever, and I don’t feel like I am going to slow down any time soon. My golf season is ...

Old photographs fade. It’s a chemical fact, a slow surrender to time and light. Colors drift toward sepia, then collapse into monochrome. Fine details soften, hiding behind scratches, dust, and noise.

Militaries seeking an early-mover advantage in achieving technological supremacy over adversaries have begun experimenting with Large Language Models/Generative AI to solve military problems. However, ...

Abstract: Coverage path planning (CPP) is the problem of finding a path that covers the entire free space of a confined area, with applications ranging from robotic lawn mowing to search-and-rescue.

When evaluating artificial intelligence strategies, hospitals and health systems face an age-old IT decision: build or buy? Keck Medicine of USC chooses a third path, blending both approaches. Yesha ...