Discover new insights into neutron star masses and formation. Learn how recent findings are reshaping astrophysics and ...

A team of researchers from the Institute for Basic Science, Yonsei University, and the Max Planck Institute have developed a ...

Researchers have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the ...

Since generative AI began to garner public interest, the computer vision research field has deepened its interest in ...

However, simulations have shown that the typical Gaussian distribution model for transistors will break down at lower voltages. Process rules at TSMC, for example, do not guarantee operation any lower ...

Orbitofrontal cortex and hippocampus reinstate representations of causal choices to associate with delayed outcomes, and the frontal pole supports this credit assignment process by maintaining pending ...

To address this gap, the Gaussian mixture segmentation (GMS) model is introduced, applying a Gaussian mixture distribution to model the variability in road deterioration. Our approach utilizes spatial ...

leading to a potentially non-Gaussian distribution for the observation noise. Hence the conventional Gaussian likelihood model is a suboptimal choice for the real-world source imaging task. In this ...

Gaussian Mixture Output: GMFlow expands the network's output layer to predict a Gaussian mixture (GM) distribution of flow velocity ... how to sample images from the pretrained GM-DiT model using the ...