Company InformationAI.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!"
Funding & investorsAI.Reverie has received 3 rounds of venture funding. The total funding amount is around $5.6M.
- Vulcan Capital (Family investment office)
- SGInnovate (Venture capital)
- Resolute Ventures (Micro vc)
- TechNexus Venture Collaborative (Corporate venture capital)
- Compound (Venture capital)
- Contact us if you are interested to see all 9 investors
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AI.Reverie - Blog
- The Latest Innovation in Artificial Intelligence in 2021
- What is Domain Adaptation in Machine Learning: Is it the Same as Transfer Learning?
- The Essential Guide to Training Data for AI
- Why I Joined AI.Reverie: Closing the Domain Gap, or Making Synthetic Data “Real”
- AI.Reverie Appoints Former NVIDIA Deep Learning Guru Aayush Prakash as Head of Machine Learning
- New MIT Study Shows AI Training Datasets Are Riddled With Errors. Here’s a Solution.
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.
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.
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.
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.
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.
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.