New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
read_file: Read file contents with flexible line range control edit_file: Make precise edits to files with clear instructions Supports complete file replacement ...
Abstract: Mobile Edge Computing (MEC) is a key technology for delivering low-latency services to mobile and edge devices, supporting applications like autonomous vehicles and smart cities. However, ...
Abstract: Diffusion probabilistic models (DPMs) have recently achieved brilliant achievements in computer vision. Inspired by the success of DPMs, we present TrajDiff, a model based on conditional ...
SimCraft is designed for academic research, industrial applications, and integration with optimization algorithms including reinforcement learning. It provides a clean, extensible API for building ...
AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92 % accuracy spoken language outcomes at one-to-three years after cochlear implants (implanted ...
Summary: A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their ...
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