From casual to cultured, the iMerit blog tackles a wide array of topics related to security, expertise, and flexibility in the Artificial Intelligence and Machine Learning data-enrichment marketplace.
Feb 6, 2025
Discover how Driver Monitoring Systems (DMS) enhance road safety in India by detecting driver fatigue, distraction, and drowsiness. Learn about AI-powered DMS, its adoption challenges, and its impact on unstructured traffic.
Sep 18, 2025
Reinforcement Learning (RL) has made notable advances in recent years. It is powering systems that can play complex games, control
Sep 18, 2025
In the realms of business analytics, statistics, and data science, the terms descriptive analytics, predictive analytics, and prescriptive analytics are
Sep 18, 2025
As financial services firms leap into the future, Generative AI (GenAI) and HITL in financial services are at the forefront
Sep 11, 2025
Large Language Models (LLMs) have become central to Artificial Intelligence (AI) advancements in various applications, such as chatbots and healthcare
Sep 11, 2025
When building AI for radiology or diagnostic imaging, it’s not enough to have annotation tools alone. You need medical image
Sep 11, 2025
If you are building AI for radiology, diagnostic imaging, or digital pathology, selecting the right medical annotation solution is critical.
Sep 9, 2025
AI is helping close long-standing gaps in breast imaging, from mammography to MRI and ultrasound. But to move beyond research
Sep 3, 2025
AI models are only as reliable as the data they are trained on. While standard cases dominate most datasets, real-world
Aug 22, 2025
As AI transforms teleoperation, remote patient monitoring, and robotic care, data annotation remains critical. From surgical robotics to ambient monitoring,
Aug 22, 2025
AI is changing healthcare, from virtual monitoring to robotic assistants. But as intelligent systems begin to handle critical tasks, one
Aug 20, 2025
The quality of AI models depends entirely on the data that trains them. While this principle seems straightforward, preparing training
Aug 19, 2025
Developing autonomous vehicles requires more than just advanced algorithms; it demands vast amounts of high-quality, multimodal, annotated data. From LiDAR