Este perfil es de un servidor federado y podría estar incompleto. Explorar más contenido en la instancia original.
Este perfil es de un servidor federado y podría estar incompleto. Explorar más contenido en la instancia original.
Real-Time Radiance Field Rendering (huggingface.co) en
Achieves SOTA on quality AND on training time AND renders in real-time (60fps+)
Universal and Transferable Attacks on Aligned Language Models (llm-attacks.org) en
Retentive Network: A Successor to Transformer for Large Language Models (arxiv.org) en
This is an exciting new paper that replaces attention in the Transformer architecture with a set of decomposable matrix operations that retain the modeling capacity of Transformer models, while allowing parallel training and efficient RNN-like inference without the use of attention (it doesn't use a softmax)....
Artificial Muscles Flex for the First Time: Ferroelectric Polymer Innovation in Robotics (scitechdaily.com) en
A new ferroelectric polymer that efficiently converts electrical energy into mechanical strain has been developed by Penn State researchers. This material, showing potential for use in medical devices and robotics, overcomes traditional piezoelectric limitations.
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing (arxiv.org) en
Vision transformers (ViTs) have significantly changed the computer vision landscape and have periodically exhibited superior performance in vision tasks compared to convolutional neural networks (CNNs). Although the jury is still out on which model type is superior, each has unique inductive biases that shape their learning and...
Neural Dynamic Image-Based Rendering (kbin.social) en
Crosspost from m/ArtificialIntelligence
RWKV: Reinventing RNNs for the Transformer Era (Paper Explained) (kbin.social) en
Crosspost from m/ai