Outsourcing data annotation is a strategic decision that many organizations face today. While some prefer to keep the process in-house to maintain control, others turn to specialized service providers to handle the growing demands of AI and ML training data.…

Let’s take a closer look at the fundamentals of data labeling: what it means, the different categories it falls into, and how it is used in real-world AI applications. Data labeling: A quick overview Data labeling is the process of…

Spiking Neural Networks (SNNs) represent a new generation of neural networks designed to better imitate how biological neurons communicate and process information. Let’s take a closer look at what makes them unique.     Neural Connections Neural connections inside the…

With data security becoming one of the biggest concerns in AI projects today, a new decentralized way of training ML models is emerging as a promising solution: Federated Learning (FL).     Federated Learning Federated Learning was first introduced by…

What does data annotation mean in Machine Learning? What types of annotation exist, and what methods are used? Let’s dive deeper.     Data labeling examples Three common applications of Data Annotation – Bounding Boxes, Semantic Segmentation, and 3D Point…

Exploring the roadblocks and technical hurdles in labeling LiDAR point clouds for real-world AI applications Light Detection and Ranging (LiDAR) has fundamentally reshaped how machines sense and understand their surroundings. By sending out laser pulses and measuring their return time,…

Công nghệ Light Detection and Ranging (LiDAR) đã thay đổi cách máy móc nhận biết và tương tác với môi trường xung quanh. Bằng cách phát ra các xung laser và đo thời gian phản hồi, hệ thống LiDAR tạo…

Introduction LiDAR, radar, and sonar are three foundational remote sensing technologies, each operating based on a distinct physical principle to collect information about the surrounding environment. LiDAR (Light Detection and Ranging) uses light waves, Radar (Radio Detection and Ranging) uses…

Explore the world of object detection from point clouds. Learn about techniques, challenges, and real-world applications. Introduction Object detection from point clouds is transforming how machines perceive and process 3D environments. This article presents the fundamental concepts, methodologies, and future…