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.
Oct 10, 2025
In 2022, the global autonomous vehicle (AV) market was valued at USD 1.5 trillion. By 2030, it is projected to
Feb 13, 2026
High-definition HD maps are a core component of advanced driver-assistance systems ADAS and autonomous vehicles, providing detailed road data such
Feb 11, 2026
McKinsey reports that only one-third of companies have scaled AI beyond pilot deployments, with the gap even wider for AI
Feb 6, 2026
The fast growth of image generation has made creating high-quality visuals easier than ever. However, for companies, this ease often
Feb 4, 2026
Autonomous vehicles (AVs) are becoming more capable every day, but how do they truly get road-ready? Beyond test tracks and
Feb 3, 2026
Modern autonomous systems rely on high-definition (HD) maps as their single source of truth for localization and path planning. But
Feb 2, 2026
Manufacturing has always been a race against imperfection. Every scratch on a steel surface, every hairline crack in a ball
Feb 1, 2026
Today, healthcare organizations embrace digital transformation to improve service delivery and the effectiveness of healthcare processes. For instance, 96% of
Jan 30, 2026
As wearables revolutionize health, wellness, and behavior tracking, accurate annotation of biosensor data is vital. ECG, PPG, respiration, accelerometer, EEG,
Jan 30, 2026
Wearables and biosensors have become integral to how we understand human physiology and behavior. From wearable ECG monitors and fitness
Jan 28, 2026
YOLO (You Only Look Once) is a fast and effective deep neural network (DNN) architecture that can identify and locate multiple objects in video, in real time.
Jan 19, 2026
Across autonomous vehicles (AVs), ADAS, and industrial and logistics robots, perception systems must operate with near‑perfect reliability (often 99.9%). Even
Jan 7, 2026
AI safety is becoming increasingly challenging to manage as models are reused and deployed across an increasing number of systems.