A new open-source library called Alpa aims to automate distributed training and serving of large deep networks. It proposes a compiler where existing model-parallel strategies are combined and the usa ...

The model is recalibrated regularly to account for changes in the market environment and shifts in the importance of input features. We used an extensive hyperparameter tuning process with a Bayesian ...

But effectively, what deep learning is a complex composition of functions from layer to layer, thereby finding the function that defines a mapping from input to output.

New machine learning model quickly and accurately predicts dielectric function The model speeds up dielectric materials development as a step toward 6G networks Peer-Reviewed Publication ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.

Using a deep-learning model, the scientists determined how, on any single day, global warming is impacting, and significantly altering, rainfall patterns around the world.

Study in Npj Digital Medicine evaluates COMPOSER, a deep learning model for early sepsis prediction, showing its effectiveness in improving patient care and reducing in-hospital mortality rates.