GitHub

VAEAT: Variational AutoeEncoder with Adversaria Training for Multivariate Time Series Anomaly Detection

A Python implementation of the clustering algorithm presented in: Sheng He, Mingjing Du *, Xiang Jiang, Wenbin Zhang, Congyu Wang. VAEAT: Variational AutoeEncoder with adversarial training for ...
CNET on MSN

Darren Aronofsky's '1776' AI Video Series Is Unhinged, and I Can't Look Away

Darren Aronofsky's '1776' AI Video Series Is Unhinged, and I Can't Look Away ...
Frontiers

Deep Domain Adaptation Applied to Remote Sensing Data Analysis

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...
Virtualization Review

Using Speculative Decoding to Improve Chatbot Performance

Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.
GitHub

Deep learning-based network anomaly detection that learns the heartbeat of normal traffic and alerts when it breaks — powered by LSTM-Autoencoders on real network flow data.

Seismos.Net trains on normal network traffic and flags deviations in real time. It uses an LSTM-Autoencoder to model sequences of network flows, computes ...