Fancy owning Apple Inc, the entire company, for no money down? Well if the current share price level doesn’t go any higher, in less than 8 years time someone will be able to pick up the company effectively for free.
This tool accepts a link to a pre-made Google Directions and converts it to a GPX file format that can be uploaded and used in sat-nav and GPS units.
Xcode iOS Simulator App Location Testing.
Source: Google Maps to GPX Converter
My question is quite similar to this one, but for Alamofire : AFNetworking: Handle error globally and repeat request How to be able to catch globally an error (typically a 401) and handle it before
Parse’s hosted services will be fully retired on January 28, 2017. We’re proud that we’ve been able to help so many of you build great mobile apps. Read more on this announcement and what this means for your app here. Thank you for using Parse.
A surprising announcement.
A ridiculous amount of mailing list effort has gone into discussion of SE-0023 API Design Guidelines. You’ll find the original guidelines here at swift.org, and I highly recommend you pop over and read them. For the most part, I really like the guidelines. I also think some bits about naming and labels are too prescriptive.
Source: 读书笔记「微信思维」 | 萧宸宇
That afternoon we were driving through Pasadena, California—and with no apparent concern to the actual process of driving, Feynman’s visitor was energetically pointing out all sorts of things an AI would have to figure if it was to be able to do the driving. I was a bit relieved when we arrived at our destination, but soon the visitor was on to another topic, talking about how brains work, and then saying that as soon as he’d finished his next book he’d be happy to let someone open up his brain and put electrodes inside, if they had a good plan to figure out how it worked.
Feynman often had eccentric visitors, but I was really wondering who this one was. It took a couple more encounters, but then I got to know that eccentric visitor as Marvin Minsky, pioneer of computation and AI—and was pleased to count him as a friend for more than three decades.
A true pioneer in AI.
We first trained the policy network on 30 million moves from games played by human experts, until it could predict the human move 57% of the time (the previous record before AlphaGo was 44%). But our goal is to beat the best human players, not just mimic them. To do this, AlphaGo learned to discover new strategies for itself, by playing thousands of games between its neural networks, and gradually improving them using a trial-and-error process known as reinforcement learning. This approach led to much better policy networks, so strong in fact that the raw neural network (immediately, without any tree search at all) can defeat state-of-the-art Go programs that build enormous search trees.
A breakthrough for machine learning.
We’re continuing our look at Xcode Playgrounds today with CocoaPods. Let’s see what it takes to import a CocoaPod into a Playground.