Based on our record, Chess Tempo Database should be more popular than Apple Machine Learning Journal. It has been mentiond 54 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.
Firefox detected a potential security threat and did not continue to chesstempo.com because this website requires a secure connection. Source: 8 months ago
I enthusiastically recommend Chess Tempo (https://chesstempo.com/), which will give you interactive chess puzzles from real games that are tailored to your level. Someone else mentioned the similar system on lichess, which is also fine. - Source: Hacker News / 9 months ago
Does anybody know? There was a post from two years ago about this, and someone commented chesstempo.com, but I can't find the same board there. Source: 10 months ago
I use chess.com to play and I also have an chesstempo.com account which seems to be really good for practicing the openings. Source: 11 months ago
To get better at #2 pattern recognition, work on fast tactics. Go to chesstempo.com and train with blitz/easy tactics. Do this every day. After a time, I think you won’t need to do the Fritz training (maybe a month or two and you should be good), but do the tactics everyday. It’s your daily vitamin. Source: 12 months 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
Chess.com - Play chess on Chess.
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