Techzine Europe3d
How to build a chip that’s as efficient as the human brain
Innatera builds neuromorphic chips. They are proving extremely efficient for applications in smart doorbells and more, but ...
IEEE6d
Minimalistic Video Saliency Prediction via Efficient Decoder & Spatio Temporal Action Cues
Abstract: This paper introduces ViNet-S, a 36MB model based on the ViNet architecture with a U-Net ... state-of-the-art performance on three visual-only and six audio-visual saliency datasets, ...
GitHub2d
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation
TresResU-Net is an encoder-decoder based architecture built upon residual block and takes the advantage of transformer self-attention mechanism ... The source code is free for research and education ...
eLife4d
Exploring the repository of de novo-designed bifunctional antimicrobial peptides through deep learning
Peptides designed by artificial intelligence restrict both drug-resistant bacteria and rapidly evolving viruses.
GlobalSpec Insights6d
The connector designed to grow with data centers
To keep up with demand, new data centers are breaking ground at a rapid rate. Many are being constructed by some of the ...
IEEE6d
To Learn Better Character Embeddings in Generative Models for Password Attack
Combining transformer blocks with VAE can achieve better performance since attention mechanisms can handle sequence data better. But such design is unstable for password generation tasks. The ...
GitHub5d
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation
LaMaTE is a high-performance and efficient translation model that utilizes large language models(LLMs) as machine translation(MT) encoders, paired with lightweight ...