This paper presents a method for estimating the air data parameters for a small fixed-wing, unmanned aerial vehicle (UAV) using an arrangement of low-cost Micro-electromechinal systems (MEMS)-based ...

At TC Disrupt 2025, the AI conversation goes deeper than just the latest models and discusses the difference between ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

While AI-driven approaches tout increased speed and lower costs, commercial interests compromise scientific collaboration.

AI workloads have fundamentally transformed data center communication requirements, introducing unprecedented demands for ...

Vivian Health reports AI is revolutionizing medical imaging, enhancing speed, accuracy, and patient care through advanced ...

Soham Parekh, a software engineer, faces accusations of secretly juggling multiple jobs simultaneously, sparking controversy ...

To address this, distributed machine learning (ML) systems play a crucial role. Using a multi-tier architecture, these systems analyze real-time data to predict energy demands and manage power ...

Machine learning (ML) modeling handles some of these limitations (Olden et al., 2008; Fonseca and Vieira, 2023). Furthermore, the principle of ML is to evaluate the model’s predictive performance, a ...

News Release 27-Mar-2025 A new era for green and intelligent transportation: LoRa meets distributed machine learning Peer-Reviewed Publication Beijing Institute of Technology Press Co., Ltd image: ...