GitHub

striim-labs/lstm-autoencoder-spark-kafka

Real-time anomaly detection on NYC taxi demand data using an LSTM Encoder-Decoder model, Kafka streaming, Spark Structured Streaming, and a Dash visualization dashboard. Based on Malhotra et al. (2016 ...
GitHub

LSTM-based Sequence-to-Sequence Chatbot

Long Short-Term Memory (LSTM) network with sequence-to-sequence architecture for building conversational chatbots with attention mechanism. lstm-chatbot/ ├── README.md ├── FEATURES.md # Additional ...
Scientific Research Publishing

Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P. and Shroff, G. (2016) LSTM-Based Encoder-Decoder for Multi-Sensor Anomaly Detection.

ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...
STAT

DeepMind launches AlphaGenome, aiming to predict gene regulation from DNA sequence

Katie covers the impact of health technology on patients, clinicians, and businesses. Her stories explore the price tag of clinical AI, digital health at the FDA, and the boom in direct-to-consumer ...
TechSpot

AMD's RDNA 4 GPUs bring major encoding and ray tracing upgrades

The big picture: AMD finally revealed the specifications, pricing, and performance details of Radeon RX 9070 and Radeon RX 9070 XT graphics cards, with full reviews expected in the coming days. While ...
Science Daily

How does the hippocampus coordinate memory encoding and retrieval?

A team of scientists has unveiled how the hippocampus orchestrates multiple memory processes, including encoding new information, forming memories, and retrieving them. A team of scientists from the ...
IEEE

CGM-Based Blood Glucose Prediction Model with LSTM Encoder-Decode Architecture

Abstract: Accurate prediction of blood glucose levels is crucial for automated treatment in diabetic patients. This study proposes a blood glucose prediction model based on an improved attention ...