About six months after coming out of stealth with $50 million in funding, Latent Labs has released a web-based AI model for ...

In this study the applicability of autoencoder-based deep neural networks to solve fault classification problems using vibration signals. This work will aim to construct CNN and LSTM type ...

Machine learning models have found their applications in solving problems that can traditionally handle ordinary or partial differential equations. The full-wave simulations solve such equations for ...

Figure 5 and Figure 6 are the autoencoder model structure and MLP model structure, respectively. To introduce non-linearity to the mapping functions, we employ ReLU and Sigmoid activation functions.

AlphaGenome scores mutation effects across coding and non-coding DNA, bringing gene insights to the base-pair level.

A range of generative machine learning models for the design of novel molecules and materials have been proposed in recent years. Models that can generate three-dimensional structures are particularly ...