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.
Jun 28, 2021
Customer: Top AV Technology Company This company relies on iMerit to generate the maximum value from their data to account
Jun 25, 2021
A top priority for the U.S. Department of Defense (DoD) is implementing responsible artificial intelligence (RAI). The DoD Deputy Secretary
Jun 23, 2021
It’s a fact of life: machine learning models need data. But not just any data will do; the data must
Jun 23, 2021
Budgeting, Building, and Scaling Data Labeling Operations A common mistake recognized by AI industry heavyweights is underestimating data labeling efforts.
Jun 23, 2021
Since 1913, automobiles have been mass manufactured. The ensuing years saw the mass adoption of the automobile across the world.
Jun 15, 2021
Data plays a vital role in solving the critical edge cases required to gain city approval and deploy autonomous transportation
Jun 15, 2021
iMerit sponsored the SAE International webinar titled, “Commercial Vehicles: The Real Home for High-Level Autonomy” presented Truck & Off-Highway Engineering
Jun 10, 2021
iMerit Chief Revenue Officer Jeff Mills joins the Fintech Finance Virtual Arena to talk about how data is transforming AI
Jun 3, 2021
Preparing data for an AI system can be a challenging, laborious, and expensive process. Luckily there’s a litany of tools
Jun 3, 2021
“Quality is not an act, it is a habit,” said the great Greek philosopher Aristotle. It’s an idea that is
Jun 3, 2021
Leading players in the autonomous vehicle industry have gathered millions of miles of data. Their challenge now is finding a
Jun 1, 2021
Machine learning relies on supervised learning, which uses labeled training data. However unsupervised learning, which uses unlabeled training data, can