On October 6, 2025, OpenAI announced AgentKit, a toolkit for building, deploying, and managing AI agents. One of its ...
Abstract: Anomaly detection (AD) is typically regarded as an unsupervised learning task, where the training data either do not contain any anomalous samples or contain only a few unlabeled anomalous ...
ABSTRACT: This work contributes to the development of intelligent data-driven approaches to improve intrusion management in smart IoT environments. The proposed model combines a hybrid ...
A recent Physical Review Letters publication presents a thorough analysis of MicroBooNE detector data, investigating the anomalous surplus of neutrino-like events detected by the preceding MiniBooNE ...
Production Optimization, time-series ML, control Gas-lift/ESP setpoints, choke control 2–7% oil uplift; 20–40% downtime cut ...
Anomaly Detection of Gas Pipeline Operational Data Using TCN-Autoencoder and LSTM-Autoencoder Models
Abstract: Anomalies in gas pipeline systems, such as undetected small leaks, are often the primary triggers of major failures that impact operational safety and the environment. Early detection of ...
Artificial Intelligence (AI) is a term used for systems that can perform humanlike cognitive functions like learning, perception, interpretation and problem solving. AI systems learn and improve by ...
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 ...
Exabeam, a global leader in intelligence and automation that powers security operations, and Cribl, the Data Engine for IT and Security, today announced an evolution of their strategic partnership ...
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