In June, Google DeepMind took the wraps off AlphaGenome, its latest machine learning model for biological discovery. While ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...

Deep learning final year projects offer students the opportunity to explore the latest advancements in artificial intelligence and apply them to real-world problems. One project idea is developing a ...

This project contains the source code and data for the paper titled "Dense reinforcement learning for safety validation of autonomous vehicles".

Blockchain technologies are digital systems that work by distributing copies of information across several computers, also ...

A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning ...

This paper proposes an explainable deep learning-based intrusion detection framework that helps improve the transparency and resiliency of DL-based IDS in IoT networks.

Energy theft detection based on data analysis is one of the solutions to alleviate the drawbacks of NTL. The main problem of data-based NTL detection is that collected electricity usage dataset is ...