Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

Technical traders have long searched for distinctive shapes in stock-price charts in order to predict returns. As artificial intelligence systems become better and better at recognizing visual ...

Machine learning workloads require large datasets, while machine learning workflows require high data throughput. We can optimize the data pipeline to achieve both. Machine learning (ML) workloads ...

The Securities and Exchange Board of India (Sebi) has unveiled a draft framework to regulate the use of Artificial Intelligence (AI) and Machine Learning (ML) technologies across the securities market ...