Dragon Quest I & II HD-2D Remake presents two timeless classics in a hot new way, turning familiar games fresh and exciting.

This allowed, for example, building human societies that can overcome unbelievable challenges like inventing spaceflight and AI. And when we look closely, the rules of AI mirror the computational ...

When the government shut down for a few weeks in October 2013, then-President Barack Obama made sure to blame conservative Republicans for refusing to pass any short-term spending bill that included ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: Weakly-supervised point cloud semantic segmentation (WS-PCS) has attracted increasing attention due to the challenge of sparse annotations. A central problem is how to effectively extract ...

Tropical Storm Humberto and Invest 94L could merge in the Atlantic, potentially sparking a rare Fujiwhara effect forecasters say could considerably alter a storm's track, with communities unaware a ...

Abstract: In 2D-to-3D human pose estimation (HPE), the torso connection relationship between joints, which can be seen as important constraint information, is critical to improving the accuracy of 3D ...

LAS VEGAS – In a month, the Las Vegas Sphere will be turned into the verdant splendor of Emerald City. And the vibrant mosaic of Munchkinland. And the dusty amber plains of Kansas. It’s “The Wizard of ...

1 KNDS Deutschland GmbH & Co. KG, Munich, Germany 2 Institute for Software Technology, University of the Bundeswehr Munich, Neubiberg, Germany Artificial intelligence (AI) has emerged as a ...

When comparing a 2D depthwise convolution implemented in PyTorch vs. pure JAX/XLA on GPU, I observed that the PyTorch version runs roughly 3× slower and draws substantially more power than the ...

KernelOptimizer is an open-source tool that automates CUDA kernel optimization for PyTorch workloads using large language models (LLMs). Inspired by Stanford CRFM’s fast kernel research, it leverages ...