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Based on our record, Aragon should be more popular than Apple Machine Learning Journal. It has been mentiond 32 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Here are 2 popular ones: Origami and Aragon. But they might not meet all your requirements such as open-source (Origami is not open-sourced yet), slack/discord like features, and white label stuff. Source: about 1 year ago
"Aragon, one of the oldest open-source frameworks for launching decentralized autonomous organizations (DAOs), today announced that it's launching its new tech stack on the Polygon network. Source: about 1 year ago
At Aragon, we believe that digital organizations should be accessible to all, and that's why we're proud to have launched the first DAO framework in 2016. As we continue to iterate and experiment, our focus remains on building antifragile systems that can adapt to an ever-changing world. Source: over 1 year ago
There are a few projects that are working on this. I contribute to a public goods project called DAOHaus. There is also Aragon. Nouns also just released something pretty cool if you like that structure. Source: over 1 year ago
Join us at the Betahaus in Berlin for an interactive discussion about Cryptography, Blockchain, and DAOs hosted by Aragon, the leading platform for building your DAO. Come connect with the growing web3 community at the Betahaus and spread the word about this event! Did we mention FREE pizza, drinks, and swag? Source: over 1 year ago
For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
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