Recent advances in deep learning have opened new avenues for the automation of scoliosis assessment, an area historically dependent on labour-intensive, manual measurements such as the Cobb angle ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...

Predictive modeling by tumor type: Comparing performance and feature importance of machine learning–based predictive models in patients with hematologic and solid tumors. This is an ASCO Meeting ...

Chinese researchers have developed a system that uses passengers' brain signals to improve autonomous vehicle safety in risky ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

In a recent study published in the journal Nature Biomedical Engineering, a group of researchers demonstrated the use of deep learning to resurrect antibiotic peptides from extinct organisms, ...