Blinkist connects people with powerful ideas from the world’s leading thinkers to help them grow their knowledge, broaden their perspectives, make better decisions, and thrive in all areas of life. Used by over 25 million people worldwide, Blinkist finds the most relevant, impactful books and podcasts and distills them down to their key ideas, which can be read or listened to in 15-minute explainers called Blinks. The platform features over 6,000 titles, making it the most comprehensive library of its kind. Blinkist members can also be guided through inspiring topics in personal and professional growth with their expert-led Guides.
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As I listened to a BLINK as a 7 book at a time guy. I was sold, it was sort of like talking to an intresting friend, about what they have learnt from something. Loads of stimulating ideas. I just have to put my mony up now and have my empty 5mins during the day filled with real brain tickling.
Based on our record, Apple Machine Learning Journal should be more popular than Blinkist. It has been mentiond 6 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.
I've always read them, just starting to use growth.me and blinkist.com but I'm curious what others think of them. Source: over 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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