Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

TII’s Falcon H1R 7B can out-reason models up to 7x its size — and it’s (mostly) open

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...
Deep Learning with Yacine on MSNOpinion

Local response normalization (LRN) in deep learning – simplified!

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
IEEE

A Hybrid Stochastic-Binary Computing Batch Normalization Engine for Low-Power On-Chip Learning Spiking Neural Networks

Abstract: Batch normalization (BN) has proven to be a critical component in speeding up the training of deep spiking neural networks in deep learning. However, conventional BN implementations face ...
The New York Times

This Kind of Sleep Is Essential for a Healthy Brain

Two particular phases in your nightly routine seem to play outsize roles in cognitive health. By Mohana Ravindranath A good night’s sleep isn’t just about the number of hours you log. Getting quality ...
IEEE

Pseudoinverse Learning Algorithm As a Unified Framework For Normalization In Deep Learning

Abstract: In recent years, several normalization methods have been proposed in order to train neural networks, including batch normalization, layer normalization, weight normalization, and group ...
Frontiers

Protein structure prediction via deep learning: an in-depth review

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...
Frontiers

A lightweight multi-deep learning framework for accurate diabetic retinopathy detection and multi-level severity identification

Accurate and timely detection of diabetic retinopathy (DR) is crucial for managing its progression and improving patient outcomes. However, developing algorithms to analyze complex fundus images ...
GitHub

Add batch&group&instance&layer normalization

Batch Normalization (BN) is a widely used technique that helps to accelerate the training of deep neural networks and improve model performance. By normalizing the inputs to each layer so that they ...