Edge AI represents the convergence of AI and edge computing, enabling AI algorithms to run directly on local devices rather ...

Revolutionizing real-time data processing with edge computing and reservoir technology. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 01 / 240111113127.htm ...

Edge AI for Real-Time Processing Many real-time activities are driving the need for edge AI. Applications such as smart-home assistants, patient monitoring, and predictive maintenance are notable ...

A United States-based data analyst, Akeem Ogundipe, has said serverless computing, as an innovative technology, will ...

Optical sensor systems will need to be designed based on system theoretical models for different applications. Expected image data can be simulated. Exploiting these investigations, ... The scientists ...

High Performance: Written in Rust, leveraging Rust's memory safety and concurrency features to deliver an efficient IoT solution.; Multi-Protocol Support: Supports MQTT, WebSocket (WS), TCP, and CoAP ...

Meanwhile, the use cases for real-time data continue to multiply, not least in artificial intelligence (AI) applications connected to cybersecurity automation, fraud detection in financial ...

Edge Artificial Intelligence (Edge AI) has revolutionised the way data is processed in modern IoT applications, bringing real-time capabilities closer to the source of data generation—at the ...

This project is a realtime chat application developed using Spring Boot and WebSocket. The application allows users to join, chat, and leave chat rooms in real-time. Spring Boot provides a robust and ...

Spark provides APIs in several programming languages including Python PySpark Java Scala and R. This makes it accessible to a wide range of developers Its interactive shell and rich APIs simplify the ...