Adversarial Autoencoder Data Synthesis for Enhancing Machine Learning-Based Phishing Detection Algorithms Supervised machine learning is often used to detect phishing websites. However, the scarcity ...

Three distinct machine learning models are employed: the Long Short-Term Memory (LSTM), Bidirectional Long Short-Term Memory (Bi-LSTM) and a hybrid model that combines Autoencoder and Long Short-Term ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science.

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...