The perception of autonomous cars is achieved by using a combination of highly sophisticated sensors and machine learning algorithms. LiDAR (light detection and ranging) is one of the sensors, playing a major role in helping normal vehicles to detect objects, measure distance, and get them across safely. But LiDAR’s real no-fluff power exists in its... Continue Reading
Electric vehicles (EVs) are not a far-off vision of the future; they’re going mainstream around the world at an unprecedented pace. AI and data annotation are driving auto manufacturing and the electrification boom. As car manufacturers and tech giants continue to push the boundaries of sustainable mobility, AI and data annotation are proving to be... Continue Reading
The race of autonomous vehicles (AV) has remade the face of the global automotive industry. Market studies foresee that the self-driving market will be valued at a few hundred billion dollars by 2030, and as such major contributors like Tesla, Waymo, and Nvidia are putting heavy capital into both Advanced Driver-Assistance Systems (ADAS) and full... Continue Reading
Data annotation is arguably the most important aspect of the development of AI and ML models. For example, if the task is to train a self-driving car to recognize road signs or to guide a chatbot in predicting human intention, properly labeled data is what makes an intelligent system work. Yet the process isn’t as... Continue Reading
In today’s data-intensive environment, forward-looking organizations are increasingly relying on Business Intelligence (BI) solutions to drive better business decisions, reduce inefficiency, and improve customer satisfaction across the board. Situation But as useful and handy as BI is across industries, the real magic comes when you can customize your BI tools or solution to exactly what... Continue Reading