Company Information

    AI.Reverie was founded on January 2017. The company is based in New York, NY, USA . The number of employees in AI.Reverie is less than 10. A leading provider of synthetic data to train machine learning algorithms.

    Here is how AI.Reverie describes itself: "AI.Reverie offers a suite of synthetic data and vision APIs to help businesses across industries train their machine learning algorithms and improve AI accuracy. Learn more!"
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          Funding & investors

          AI.Reverie has received 3 rounds of venture funding. The total funding amount is around $5.6M.

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                    News

                        AI.Reverie - Blog

                          • The Latest Innovation in Artificial Intelligence in 2021

                          • As everything from supply chains and creative fields to government agencies discover applications for AI, developers find themselves with more opportunities to implement ML as well as a need for more sophisticated and optimized systems. 2021 looks like it’s on track to be a bountiful year for ML!The post The Latest Innovation in Artificial Intelligence in 2021 appeared first on AI.Reverie.
                          • What is Domain Adaptation in Machine Learning: Is it the Same as Transfer Learning?

                          • When the source domain suddenly differs from the existing labeled data, can Artificial Intelligence still make the right choices? Learn more!The post What is Domain Adaptation in Machine Learning: Is it the Same as Transfer Learning? appeared first on AI.Reverie.
                          • The Essential Guide to Training Data for AI

                          • Discover what training data consists of, how to get high-quality training data, and how to determine how much you’ll need. Learn more!The post The Essential Guide to Training Data for AI appeared first on AI.Reverie.
                          • Why I Joined AI.Reverie: Closing the Domain Gap, or Making Synthetic Data “Real”

                          • By Aayush Prakash I’ve spent the last decade researching and developing technologies that allow businesses and organizations to innovate more quickly. Most recently, I spent five years at NVIDIA researching new approaches to machine learning — namely Structured Domain Randomization, Meta-Sim and Sim2SG (Sim-to-Real Scene Graph) generation. You can find my research here. Why have […]The post Why I Joined AI.Reverie: Closing the Domain Gap, or Making Synthetic Data “Real” appeared first on AI.Reverie.
                          • AI.Reverie Appoints Former NVIDIA Deep Learning Guru Aayush Prakash as Head of Machine Learning

                          • We have named Aayush Prakash, a 12-year veteran and Machine Learning and AI pioneer, Head of Machine Learning. Prakash, whose appointment takes effect immediately, reports to AI.Reverie co-founder Daeil Kim and will be responsible for all machine learning strategy and operations at the company.  “We have searched extensively for the right leader in this role […]The post AI.Reverie Appoints Former NVIDIA Deep Learning Guru Aayush Prakash as Head of Machine Learning appeared first on AI.Reverie.
                          • New MIT Study Shows AI Training Datasets Are Riddled With Errors. Here’s a Solution.

                          • A new study out of MIT showed that 10 of the most commonly used AI test datasets are full of labeling errors. Specifically, the researchers found: 3.4% of images are mislabelled, and as many as 5.8% in ImageNet and 10.1% in QuickDraw.  Once labels were corrected in the benchmarking datasets, lower capacity models outperformed higher […]The post New MIT Study Shows AI Training Datasets Are Riddled With Errors. Here’s a Solution. appeared first on AI.Reverie.

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