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AI.Reverie
Better data, smarter products. We’re on a mission to remove the data bottleneck from AI development.
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Why I Joined AI.Reverie: Closing the Domain Gap, or Making Synthetic Data “Real”
Why I Joined AI.Reverie: Closing the Domain Gap, or Making Synthetic Data “Real”
I’ve spent the last decade researching and developing technologies that allow businesses and organizations to innovate more quickly. Most…
Aayush Prakash
Apr 13, 2021
New MIT Study Shows AI Training Datasets Are Riddled With Errors. Here’s a Solution.
New MIT Study Shows AI Training Datasets Are Riddled With Errors. Here’s a Solution.
The more we can introduce automated precision labeling into AI training, the more accurate and equitable the resultant algorithms will be.
AI.Reverie
Apr 8, 2021
How the NSCAI Can Bolster the AI Supply Chain
How the NSCAI Can Bolster the AI Supply Chain
To accelerate AI and cull algorithmic bias under the new NSCAI recommendations, tap synthetic data.
AI.Reverie
Mar 18, 2021
The Case for a Synthetic Approach to Narrow AI
The Case for a Synthetic Approach to Narrow AI
Creating a general AI has been the holy grail of many researchers, but for some of the world’s most significant challenges, an algorithm…
Daeil Kim
Oct 2, 2018
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