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.
Nov 4, 2026
iMerit launches Ango Scholars, automating onboarding, assessments, contracts, and payments for its 30,000+ global domain experts worldwide.
Dec 1, 2022
Responsible AI is a key investment to help AI adoption and instill trust in end-users.
Nov 24, 2022
iMerit CEO Radha Basu and Meta's Manohar Paluri discuss the ideal framework for pushing the frontiers in AI research at the ML DataOps Summit.
Nov 11, 2022
Here’s how machine learning can help categorize text-based documents using supervised classification algorithms.
Nov 7, 2022
Learn how and why DNNs are vulnerable to adversarial attacks, and how to make machine learning models less vulnerable to these attacks.
Oct 27, 2022
How the latest advancements in neural networks enable the creation of video classification algorithms for tasks such as human activity recognition.
Oct 20, 2022
Explore AI image classification fundamentals, model training steps, and best practices for accurate visual labeling in machine learning projects.
Oct 12, 2022
Learn the steps involved in developing a machine learning model and the distinction between supervised and unsupervised learning.
Oct 7, 2022
Learn about the role of data annotation in enabling AI, the different approaches to data annotation, and the outlook for data annotation companies in 2022.
Sep 23, 2022
Learn what training data is and why it is essential for building machine learning models. Understand its role in improving model accuracy.
Sep 14, 2022
Learn the top AI applications in clinical imaging to improve radiology and the need for medical AI experts in the process.
Sep 14, 2022
These five recommendations are a few points to keep in mind as you add AI solutions to your current business operations.
Sep 7, 2022
Learn how automation and humans-in-the-loop combine to build a more productive and efficient process of data annotation.