Tech Xplore

New ensemble AI model enhances cyber intrusion detection with high accuracy

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection ...

NetQuest Introduces NetworkLens(TM), Hyperscale Real-Time Network Intelligence Datasets Powering AI-Driven Cyber Threat Detection

Generated continuously by the NetQuest Streaming Network Sensor (SNS) platform, NetworkLens delivers structured, high-value network intelligence across application activity, routing behavior, ...
TMCnet

NetQuest Introduces NetworkLens™, Hyperscale Real-Time Network Intelligence Datasets Powering AI-Driven Cyber Threat Detection

NetQuest today announced NetQuest NetworkLens™, a new portfolio of hyperscale real-time network intelligence datasets engineered to power AI-driven cyber threat detection and advanced security ...

Nanoparticles and artificial intelligence can help researchers detect pollutants in water, soil and blood

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and soil samples.
T&D World

Securing the Grid While Adopting AI

As AI integration accelerates across SCADA, DMS, and OMS platforms, the absence of security-first architecture guidelines ...
Computer Weekly

Confluent Intelligence engineers secure agent connectivity for real-time data

Confluent’s Streaming Agents use the Agent2Agent (A2A) protocol to trigger and coordinate external AI agents using real-time data streams, making it easier to connect AI systems across an enterprise.
Devdiscourse

AI in water management: Breakthrough tool or overstated innovation?

The study AI Solutions for Improving Sustainability in Water Resource Management, published in Sustainability, offers a ...

AI and Machine Learning in Digital Wallets: From Fraud Detection to Personalized Finance

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

Telecom’s AI Shift: Carriers Are Building Agentic Networks For The 6G Era

From RAN optimization to agentic AI integration, telecom operators are transforming networks into self-directed, intelligent infrastructure powered by AI.
Devdiscourse

AI set to power autonomous 6G systems

6G visions include immersive extended reality, holographic communications, tactile internet applications, and large-scale digital twins. Supporting these services will demand fully autonomous network ...
IEEE

Machine Learning and Deep Learning for Network Anomaly Detection

Abstract: Ensuring the security of network systems has become challenge nowadays, due to increase of cyber threats. Anomalies in network traffic indicated potential threats such as intrusion, policy ...
GitHub

desireeye/Self-Adaption-cloud-infrastructure-Using-machine-learning-based-anomaly-detection

src/ # Core system ├── monitoring/ # Resource collection ├── preprocessing/ # Data cleaning & feature engineering ├── anomaly_detection/ # ML model (Isolation Forest) ├── adaptive_engine/ # Decision ...