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Apple Machine Learning Journal might be a bit more popular than Coinpaprika. We know about 6 links to it since March 2021 and only 5 links to Coinpaprika. 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.
I use the free API provided by https://coinpaprika.com/. Source: almost 2 years ago
🌶 Coinpaprika is a research platform that provides comprehensive, reliable, transparent, and objective access to information about crypto projects from all around the world. Source: over 2 years ago
I like coingeko. You may also check coin papirika. https://coinpaprika.com/. Source: over 2 years ago
News * Nebula (NEB) and LambDoge (LDOGE) listed on coinpaprika * Nebula KEY staking enabled (64 accounts have staked to be eligible after three weeks) * Collider (LHC) and Proton (PRO) rebrand * UndergroundWarriors (WP) continues to grow and expand with new characters (Alpha) and new features (new animations for Rare/Limited/Legendary characters and hints at a new physical goods store) * Rocketswap celebrates 200k... Source: over 2 years ago
The main issue is liquidity (see on https://coinpaprika.com/) and to much control over the initial token distribution. Source: almost 3 years 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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