Nature

Video-based machine learning models for predicting deep brain stimulation outcomes in Parkinson’s disease patients

Current levodopa challenge test (LCT) for deep brain stimulation (DBS) candidate screening in Parkinson’s disease (PD) relies on subjective clinical scales, limiting its predictive capacity for ...
Nature

Using machine learning to predict persecutory beliefs based on aetiological models of delusions identified in a systematic literature search

Delusions are fixed beliefs that are held despite contrasting evidence 1. They are one of the core symptoms of psychosis and cause significant distress 2,3. Persecutory delusions, the belief that ...
Electronic Design

Neuromorphic NPU Sips Power to Handle Edge Machine-Learning Models

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...