Optimizing RNA design with AI and an Ising machine: Encoding matters

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
Tech Xplore

A soft exoskeleton could restore hand function in people with motor impairments

Recent technological advances have opened valuable possibilities for supporting people with motor impairments or who are ...
GitHub

Angular Penalty Softmax Losses Pytorch

(Note: the SphereFace implementation is not exactly as described in their paper but instead uses the 'trick' presented in the ArcFace paper to use arccosine instead of the double angle formula) There ...
GitHub

Learn machine learning by building all the fundamentals from scratch - with Python

Learn machine learning from the ground up - using Python and a handful of fundamental tools. This repository contains a range of resources associated with the 2nd edition of the university textbook ...
Hacker

Deep Learning CNN’s in Tensorflow with GPUs

In my last tutorial, you created a complex convolutional neural network from a pre-trained inception v3 model. In this tutorial, you’ll learn the architecture of a convolutional neural network (CNN), ...
The Lancet

Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study

dBioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore eGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore fInstitute of ...
Scientific Research Publishing

Speech Emotion Recognition Based on CNN-Transformer with Different Loss Function ()

Speech Emotion Recognition (SER) is crucial for enhancing human-computer interactions by enabling machines to understand and respond appropriately to human emotions. However, accurately recognizing ...
IEEE

A Hardware-Friendly Alternative to Softmax Function and Its Efficient VLSI Implementation for Deep Learning Applications

Abstract: The Softmax function holds an essential role in most machine learning algorithms. Conventional realization of Softmax necessitates computationally intensive exponential operations and ...