In this compelling white paper, “Synthetic Behavioral Data for Analytics,” MOSTLY AI makes the case for Synthetic Behavioral Data. MOSTLY AI is the leading synthetic data company globally. Its platform enables enterprises across industries to unlock, share, fix and simulate data.
Appen Invests in Synthetic Data Business Mindtech
March 8, 2022 by Leave a Comment
Appen Limited, a leader in data for the AI Lifecycle, announced the investment in Mindtech, a synthetic data company specializing in the creation of high-quality training data for AI computer vision models. As part of the investment, Appen has formed a commercial partnership agreement with Mindtech.
The Decade of Synthetic Data is Underway
March 7, 2022 by 1 Comment
In this contributed article, Gil Elbaz, CTO and Co-founder of Datagen, sheds light on new developments that will make the ‘20s the decade when synthetic data finally breaks through to become a mainstream part of practical AI applications. Artificial intelligence algorithms are only as good as the data that train them. In the shift to data-centric models of AI, we are seeing a boom in interest in synthetic data over the past few years. Using synthetic data is one way to overcome the drawbacks to using real data for machine learning training sets.
Book Review: Synthetic Data for Deep Learning
November 17, 2021 by Leave a Comment
“Synthetic Data for Deep Learning,” by Sergey I. Nikolenko (published by Springer), represents a very good academic treatment of the subject. But what gives the book more street cred is the fact that the author is also Chief Research Officer for Synthesis AI, a start-up company pioneering this accelerating field. It’s nice to know the book represents both the academic and practical perspectives of the topic.
Faces as the Future of AI
October 26, 2021 by Leave a Comment
In this contributed article, Dr. Sergey I. Nikolenko, Head of AI at Synthesis AI, discusses how in AI, problems related to human faces are coming to the forefront of computer vision. The article considers some of them, discusses the current state of the art, and introduces a common solution that might advance it in the near future.
