Tech Xplore on MSN

Improving AI models' ability to explain their predictions

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
IEEE

An Explainable AI Framework Integrating Variational Sparse Autoencoder and Random Forest for EEG-Based Epilepsy Detection

Abstract: Epilepsy is a medical condition characterized by sudden and frequent sensory disruptions which is commonly detected by electroencephalogram (EEG) analysis. However, analyzing these signals ...
IEEE

Battle Damage Assessment based on an Improved Kullback-Leibler Divergence Sparse Autoencoder

Abstract: The nodes number of the hidden layer in a deep learning network is quite difficult to determine with traditional methods. To solve this problem, an improved Kullback-Leibler divergence ...
The Malaysian Reserve

Zyphra Releases ZUNA – BCI Foundation Model Advancing Towards Thought-to-Text

New brain-computer interface AI model improves real-world EEG data while advancing Zyphra's mission to develop human-aligned superintelligenceSAN ...
GitHub

salad - sparse all-atom denoising

jax versions 0.5.1 to 0.5.3 seem to cause issues for symmetric protein generation using salad. salad works as expected for versions 0.5.0 and 0.6.0. I am therefore pinning jax to version 0.5.0 for now ...