Researchers have for the first time created a reconfigurable polariton 2D quasicrystal. The team from the Skolkovo Institute ...
By miniaturizing THz spectroscopy to a chip-scale platform, James McIver’s lab has uncovered a promising new method for controlling quantum materials. Under certain conditions, two-dimensional (2D) ...
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: 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 ...
NASA’s interim administrator, Sean Duffy, was fired up on Wednesday when he joined a teleconference to talk about new scientific findings that concerned the potential for life to have once existed on ...
Abstract: Hyperspectral imaging (HSI) captures reflectance characteristics across hundreds of narrow spectral bands, enabling the joint acquisition of fine-grained spatial details and continuous ...
Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...
When it comes to 2D action platformers, I don’t necessarily need them to be revolutionary. But I do expect a superb execution of the fundamentals – speed, control, and challenge – all of which the ...
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 ...