(NASDAQ: BEAT), a medical technology company focused on transforming cardiac care by providing powerful personalized insights ...

However, these must have skin contact and are typically worn on the finger. Pulse-Fi works remotely, allowing you to monitor ...

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

How do Machine Learning algorithms handle such large amount of data? This question was originally answered on Quora by Håkon Hapnes Strand.

Machine Learning algorithms are ubiquitous, but what is the relationship between our mind and a machine learning algorithm? How can we leverage science to create the change we want to see? The ...

Artificial intelligence relies on machine learning algorithms trained on massive datasets to make predictions—think of how ...

AI-based evaluation of medical imaging data usually requires a specially developed algorithm for each task. Scientists have now presented a new method for configuring self-learning algorithms for ...