News

Tech Xplore on MSN6d
Chain-of-Zoom framework enables extreme super-resolution zoom without retraining
A trio of AI researchers at KAIST AI, in Korea, has developed what they call a Chain-of-Zoom framework that allows the ...
Unite.AI5d
Building Confidence in AI: Training Programs Help Close Knowledge Gaps
AI is reshaping the workforce at a breakneck speed, yet training efforts aren’t meeting the moment. Despite a quarter of ...
eLife6d
The denitrosylase SCoR2 controls cardioprotective metabolic reprogramming
This study presents compelling evidence that the denitrosylase SCoR2 regulates cardioprotective metabolic reprogramming in the heart following ischemia/reperfusion injury. The findings are supported ...
GitHub2d
RegMix: Data Mixture as Regression for Language Model Pre-training
Welcome to the official repository of RegMix, a new approach to optimizing data mixtures for large language model (LLM) pre-training! Join our Discord ... Modify the regression model architecture or ...
IEEE1d
A Novel Bottleneck Residual and Self-Attention Fusion-Assisted Architecture for Land Use Recognition in Remote Sensing Images
named 3-layered bottleneck CNN architecture and 3-layered bottleneck self-attention CNN architecture, for the classification of land use images. Training has been conducted on both proposed and ...
GitHub3d
Regularization properties of adversarially-trained linear regression
We provide a comparative analysis between the solution of adversarial training in linear regression and other regularization methods. Our main findings are that: (A) Adversarial training yields the ...
Frontiers3d
Vision transformers for automated detection of diabetic peripheral neuropathy in corneal confocal microscopy images
(2021) employed a U-Net-based model to automate the segmentation and quantification of corneal nerves in CCM images, achieving discrimination between patients with and without ... architecture.