Harrou, with statistician Ying Sun from KAUST and collaborators from France and Algeria, applied a particularly promising deep-learning-based model called a Variational AutoEncoder (VAE) to the ...

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

By constructing this deep generative model for functional RNA design, the research team believes RfamGen will be a fundamental driving force to propel RNA biology into a new era and enable ...

French startup Deepomatic just raised $1.4 million (€1.2 million) from Alven Capital and business angels, such as Pierre Valade and Jean-Charles Samuelian. The company has built a smart search ...

There are many different types of anomaly detection techniques. This article explains how to use a neural autoencoder implemented using raw C# to find anomalous data items. Compared to other anomaly ...

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 ...

Deepfakes use deep learning artificial intelligence to replace, alter, or mimic someone's face in video or voice in audio.