Talk to Books by Google
A.I. Experiments by Google
Facebook.ai
Lobe
Google Open Source
Paper Signals by Google
Chrome Experiments
PyTorch Lightning
Apple Machine Learning Journal
Amazon Machine Learning
Machine Learning Playground
Lobe
A.I. Experiments by Google
ML5.js
mlblocks
ML Showcase
Based on our record, Talk to Books by Google should be more popular than Apple Machine Learning Journal. It has been mentiond 9 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.
Talk to Books is an AI product by Google that can be used to interact with the content written in books that are already published. Source: about 1 year ago
You can also use Google's Talk to Books that uses a neural network to search them. It's very handy! Source: over 1 year ago
Talk to books (https://books.google.com/talktobooks) : With talktobooks, you can talk to a book like in the same way as we talk to humans. Source: over 1 year ago
While I couldn't find the quote you mentioned, you can try using Talk to Books, an AI where you ask a question and it shows a quote from a book. Source: over 1 year ago
For example, projects such as https://books.google.com/talktobooks/ that allow people to experience AI without programming. - Source: Hacker News / 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
A.I. Experiments by Google - Explore machine learning by playing w/ pics, music, and more
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Facebook.ai - Everything you need to take AI from research to production
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Lobe - Visual tool for building custom deep learning models
Google Open Source - All of Googles open source projects under a single umbrella