Using machine learning technology, a new study has identified three distinct profiles describing social and economic factors ...

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care.

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying ...

After uncovering a unifying algorithm that links more than 20 common machine-learning ... everything from classification algorithms that can detect spam to the deep learning algorithms that ...

Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning ... called Information Contrastive Learning (I-Con), shows that a variety of different algorithms ...

In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers ... to facing laborious and time-consuming experimental ...

Case-based interpretable deep learning for ECG classification. This code implements ProtoECGNet from the following paper: "ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG ...

Subsequently, the long short-term memory (LSTM)-based temporal classification model was ... integrated limited GF-6 imagery with time-series Sentinel-1 data and performed better than traditional ...