This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain ...

However, a recent study by Chinese scientists has given us new hope: Quantum Machine Learning (QML) may inherently possess ...

By working to understand how new AI systems integrate flexible and incremental learning, researchers gained insights about ...

A machine-learning algorithm spotted signs of “covert consciousness” in coma patients—in some cases, days before doctors ...

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 ...

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...

Researchers at New York City-based Icahn School of Medicine at Mount Sinai Health System have developed AEquity, a tool designed to detect and mitigate biases in datasets used to train ...

In turbulent fluids, mixing of the components happens easily. However, in more viscous fluids such as those enclosed within ...