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

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 ...

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 ...

ZeroEntropy raises $4.2 million from YC, Initialized, to help models and agents retrieve relevant data quickly, accurately, ...

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

Inaccurate metaphors about the mind can cause real harm, for instance leading educators to 'train' children like algorithms.

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

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 ...

An autoencoder is a specific type of neural network. The main disadvantage of using a neural autoencoder is that you must fine-tune the training parameters (max epochs, learning rate, batch size) and ...