- Uber Would Like to Buy Your Robotics Department (NY Times) — ‘‘If you’re well versed in the area of robotics right now and you’re not working on self-driving cars, you’re either an idiot or you have more of a passion for something else,’’ says Jerry Pratt, head of a robotics team in Pensacola that worked on a humanoid robot that beat Carnegie Mellon’s CHIMP in this year’s contest. ‘‘It’s a multibillion- if not trillion-dollar industry.’’
- What the Heck is Angela Ahrendts Doing at Apple? (Fortune) — Apple has always intended for each of them to be a community center; now Cook and Ahrendts want them to be the community center. That means expanding from serving existing and potential customers to, say, creating opportunities for underserved minorities and women. “In my mind,” Ahrendts says, store leaders “are the mayors of their community.”
- Imitation vs. Innovation: Product Similarity Network in the Motion Picture Industry (PDF) — machine learning to build a model of movies released in the last few decades, We find that big-budget movies benefit more from imitation, but small-budget movies favor novelty. This leads to interesting market dynamics that cannot be produced by a model without learning.
- Enlightened Imagination for Citizens (Bret Victor) — It should be painfully obvious that learning how to program a computer has no direct connection to any high form of enlightenment. Amen!
Truly disruptive services don’t just digitize the familiar. They do away with it.
The Apple-Pay web page gushes: “Gone are the days of searching for your wallet. The wasted moments finding the right card. The swiping and waiting. Now payments happen with a single touch.”
What’s wrong with this picture?
It’s describing the digital facsimile of a process that is already on its way to becoming obsolete. But truly disruptive new services don’t just digitize the familiar. They do away with it.
I never search for my wallet when I take an Uber. I never search for my wallet when I walk out of a restaurant that accepts Cover. I never search for my wallet when I buy something from Amazon. I don’t even search for my wallet when buying a song from iTunes — or, for that matter, an iPhone from an Apple Store.
In each of these cases, my payment information is simply a stored credential that is already associated with my identity. And that identity is increasingly recognized by means other than an explicit payment process. Read more…
Part One: Easily find Chromecast devices on your local network
Now that Google has opened up the Chromecast API for anyone to play with, it’s possibile to create iOS applications that can leverage the $35 device as a way to display to HDMI devices wirelessly. In this series of tutorials, we’ll go over the API, starting with configuring your project to use the framework, and finding devices out on your local network to play with.
Let’s assume you’ve set up a Chromecast device attached to an HDMI TV and have it configured for your local network. Now it’s time to get an App set up to use it. We’ll use the iPhone Simulator in these examples, since it can talk to Chromecast devices just like a physical device, as long as the Mac you are developing on is on the same LAN as the Chromecast dongle.
Begin by creating a project, as usual. For this example, I used a single-view Storyboarded app. I set up an
UITableView inside the default
UIView, hooking it’s datasource and delegate to the default view controller the wizard had created. Next, I went to the Google Google Cast API page and downloaded the iOS framework, then used the “Add Files…” project option to add the framework to the project, copying in the files.