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Based on our record, Shutterstock should be more popular than Apple Machine Learning Journal. It has been mentiond 19 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.
Other reputable places to sell vector artwork online are shutterstock.com, and stock.adobe.com Each will have their own requirements and tutorials for submitting artwork. You can also start your own page on Etsy.com. Source: 6 months ago
"Freelance" means, "You're on your own, kid." However, all of the things you ask are possible--access to your client's assets, buy your own and bill them, source free images. shutterstock.com is one of my favorites. I was searching for free/royalty free images endlessly until I just bought a monthly subscription. The time savings makes up for the time spent scouring the internet. Good luck and have fun!... Source: about 1 year ago
Just found out the image had "shutterstock.com" on it. Source: over 1 year ago
Go to shutterstock.com and type in these exact keywords. Vaporwave, windows 98, y2k computer browser. You should get a ton of vector assets that will help cut your design time in half. Source: over 1 year ago
Look for royalty-free images. You may try shutterstock.com if you need more and are ok to make a subscription or unsplash.com if you want free images. Moreover you may try deviantart.com or google search for blood splatter. 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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