Attentional autoencoder networks can be applied in several different scenarios for successful real-world applications. In social networks, news, movies, and music, the technology has demonstrated ...

AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel ...

Specifically, the team used generative AI to discover new porous materials that could make multivalent-ion batteries a viable replacement for lithium-based systems. These next-generation batteries ...

Researchers from New Jersey Institute of Technology (NJIT) have used artificial intelligence to tackle a critical problem facing the future of energy storage: finding affordable, sustainable ...

News Release 18-Sep-2024 Serial-autoencoder for personalized recommendation Peer-Reviewed Publication Higher Education Press image: The processing flow of our proposed method view more ...

Creating and Training the LightGBM Autoencoder Model The LightGBM system does not have a built-in autoencoder class so one must be created using multiple regression modules. The goal of the ...

The trained neural autoencoder is subjected to a sanity check by computing the MSE for the 40-item validation dataset. The MSE is 0.0017 which is very close to the MSE of the dataset being reduced, ...

Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk ...