Nature

Preservation of explicit learning of visuomotor sequences during Parkinson’s disease progression

While motor learning approaches are effective in rehabilitating Parkinson’s disease (PD) patients, many studies reported deficits in sequential motor learning in these patients. We hypothesised that ...
InfoQ

OpenAI Introduces Sparse Transformers for Deep Learning of Longer Sequences

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Nature

Using deep learning to annotate the protein universe

As the cost of DNA sequencing drops and metagenomic sequencing projects flourish, efficient tools that annotate sequences with function are central to our ability to exploit these data and accelerate ...
Science Daily

Using machine learning to design peptides

Scientists have developed a way of finding optimal peptide sequences: using a machine-learning algorithm as a collaborator. The algorithm analyzes experimental data and offers suggestions on the next ...
ascopubs.org

Machine Learning–Based Analysis of Treatment Sequences Typology in Advanced Non–Small-Cell Lung Cancer Long-Term Survivors Treated With Nivolumab

Two thousand two hundred twelve study patients were, on average, 63.0 years old, 69.9% of them were men, and 61.9% had a nonsquamous cell carcinoma. During the 2 years after nivolumab treatment ...