In today's B2B environment, efficiency is key. As companies strive to accelerate their AI and machine learning development, the need for efficient annotation processes...
In the dynamic world of machine learning and computer vision, high-quality annotations are the foundation of successful models. However, the annotation process can be...
Welcome back to our "Meet the Kognicians" series, where we introduce the minds shaping the future of Kognic. Today, we are excited to introduce Polly Jing Li, a vital...
The development of autonomous vehicles is a complex process, requiring a deep understanding of robotics, computer vision, and machine learning. One of the most...
Semantic Segmentation is now supported as a key feature in Kognic's data exploration tools. By revealing critical patterns and insights, Semantic Segmentation helps you...
Data exploration is a critical step in developing machine learning algorithms and computational mission algorithms. Understanding your dataset is essential to ensure...
Kognic was founded in 2018 with a primary focus on helping machines "see" the world through data - as we strive for automated and autonomous driving . As with many early...
In a recent interview with SAE International , our CEO, Daniel, talked about the idea of AI alignment and its importance in making autonomous vehicles safer and more...
