In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard ...

Abstract: Wearable intelligent electrocardiography (ECG) sensors with integrated cardiac arrhythmia classification processors have been used to detect and classify arrhythmia, alerting users to ...

From the bioelectrical signal mechanism, a set of morphological and rhythmic features rich in electrocardiogram pathological information is proposed to minimize the scale of the classification neural ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

the machine learning methods for estimation of the nuisance functions, … the resampling schemes, … the double machine learning algorithm, … the Neyman orthogonal score functions, … It further can be ...

Maybe you have an assigned space, but they’re resigned to circling the block with an eagle eye ... Cars are a popular target for machine learning, so large data sets with cars already exist.