"apple" entries

Four short links: 14 September 2015

Four short links: 14 September 2015

Robotics Boom, Apple in Communities, Picture Research, and Programming Enlightenment

  1. 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.’’
  2. 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.”
  3. 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.
  4. 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!
Four short links: 8 September 2015

Four short links: 8 September 2015

Serverless Microservers, Data Privacy, NAS Security, and Mobile Advertising

  1. Microservices Without the Servers (Amazon) — By “serverless,” we mean no explicit infrastructure required, as in: no servers, no deployments onto servers, no installed software of any kind. We’ll use only managed cloud services and a laptop. The diagram below illustrates the high-level components and their connections: a Lambda function as the compute (“backend”) and a mobile app that connects directly to it, plus Amazon API Gateway to provide an HTTP endpoint for a static Amazon S3-hosted website.
  2. Privacy vs Data Science — claims Apple is having trouble recruiting top-class machine learning talent because of the strict privacy-driven limits on data retention (Siri data: 6 months, Maps: 15 minutes). As a consequence, Apple’s smartphones attempt to crunch a great deal of user data locally rather than in the cloud.
  3. NAS Backdoors — firmware in some Seagate NAS drives is very vulnerable. It’s unclear whether these are Seagate-added, or came with third-party bundled software. Coming soon to lightbulbs, doors, thermostats, and all your favorite inanimate objects. (via BetaNews)
  4. Most Consumers Wouldn’t Pay Publishers What It Would Take to Replace Mobile Ad Income — they didn’t talk to this consumer.
Four short links: 17 June 2015

Four short links: 17 June 2015

Academic Publishing Concentration, Hardware Independence, Exception Monitoring, and Negotiating Tactics

  1. The Oligopoly of Academic Publishers in the Digital Era (PLoSone) — Combined, the top five most prolific publishers account for more than 50% of all papers published in 2013. (via CBC)
  2. LLVM Bitcode Gives Apple Hardware Independence (Medium) — Bob [Mansfield] has been quietly building a silicon team with the skills to rival all other players in the industry. Bob works for one of 15 companies with an ARM architecture license, giving his team carte blanche to modify and extend ARM in any way they see fit. And Bob’s CPUs only have to satisfy a single customer.
  3. Github Exception Monitoring and Response — I need another word than “porn” to describe something that makes me sigh fervently with desire to achieve at that level.
  4. 31 Negotiation Tactics (Nick Kolenda) — he mysteriously omitted my power tactics of (a) crying, (b) greeting my opposite number with the wrong name, and (c) passing a napkin covered with random scrawls as I say, “what do you make of this?”
Four short links: 24 April 2015

Four short links: 24 April 2015

Jeff Jonas, Siri and Mesos, YouTube's Bandwidth Bill, and AWS Numbers

  1. Decoding Jeff Jonas (National Geographic) — “He thinks in three—no, four dimensions,” Nathan says. “He has a data warehouse in his head.” And that’s where the work takes place—in his head. Not on paper. Not on a computer. He resorts to paper only to work the details out. When asked about his thought process, Jonas reaches for words, then says: “It’s like a Rubik’s Cube. It all clicks into place. “The solution,” he says, is “simply there to find.” Jeff’s a genius and has his own language for explaining what he does. This quote goes a long way to explaining it.
  2. How Apple Uses Mesos for Siri — great to see not only some details of the tooling that Apple built, but also their acknowledgement of the open source foundations and ongoing engagement with those open source communities. There have been times in the past when Apple felt like a parasite on the commons rather than a participant.
  3. Cheaper Bandwidth or Bust: How Google Saved YouTube (ArsTechnica) — Remember YouTube’s $2 million-a-month bandwidth bill before the Google acquisition? While it wasn’t an overnight transition, apply Google’s data center expertise, and this cost drops to about $666,000 a month.
  4. AWS Business NumbersAmazon Web Services generated $5.2 billion over the past four quarters, and almost $700 million in operating income. During the first quarter of 2015, AWS sales reached $1.6 billion, up 49% year-over-year, and roughly 7% of Amazon’s overall sales.
Comments: 2
Four short links: 8 April 2015

Four short links: 8 April 2015

Learning Poses, Kafkaesque Things, Hiring Research, and Robotic Movement

  1. Apple Patent on Learning-based Estimation of Hand and Finger Pose — machine learning to identify gestures (hand poses) that works even when partially occluded. See writeup in Apple Insider.
  2. The Internet of Kafkaesque Things (ACLU) — As computers are deployed in more regulatory roles, and therefore make more judgments about us, we may be afflicted with many more of the rigid, unjust rulings for which bureaucracies are so notorious.
  3. Schmidt and Hunter (1998): Validity and Utility of Selection Methods in Personnel (PDF) — On the basis of meta-analytic findings, this article examines and summarizes what 85 years of research in personnel psychology has revealed about the validity of measures of 19 different selection methods that can be used in making decisions about hiring, training, and developmental assignments. (via Wired)
  4. Complete Force Control in Constrained Under-actuated Mechanical Systems (Robohub) — Nori focuses on finding ways to advance the dynamic system of a robot – the forces that interact and make the system move. Key to developing dynamic movements in a robot is control, accompanied by the way the robot interacts with the environment. Nori talks us through the latest developments, designs, and formulas for floating-base/constrained mechanical systems, whole-body motion control of humanoid systems, whole-body dynamics computation on the iCub humanoid, and finishes with a video on recent implementations of whole-body motion control on the iCub. Video and download of presentation.

What Amazon, iTunes, and Uber teach us about Apple Pay

Truly disruptive services don’t just digitize the familiar. They do away with it.

Pay_Steve_Snodgrass_FlickrSomething’s been nagging at me about Apple Pay, and the hype about 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…

Comments: 72
Four short links: 10 September 2014

Four short links: 10 September 2014

Dandelion Dispersal, Future Weights, Networked Docker, and How Apple Pay Works

  1. BERG Closing — may open source their Little Printer server and IoT middleware. A shame, as Warren Ellis says, because they pulled bits of the future into the present. They were optimistic, not dystopic. I have a feeling BERG grads are going to be like BBC grads, where a certain crop from ~2003 or so went on to be influential at many different places. Dispersing dandelions of delight.
  2. Here Today, Gone Tomorrow — beating our minds’ misweighting of future events. This: When being invited to do things months in advance, the diary usually looks pretty clear and it’s tempting to say “yes”. But whenever a new invitation arrives, ask yourself not, “should I accept the invitation in March?” but, “would I accept the invitation if it was for this week?” (via BoingBoing)
  3. Weave — build a network of Docker containers running on different hosts. Weave can traverse firewalls and operate in partially connected networks. Traffic can be encrypted, allowing hosts to be connected across an untrusted network. With weave you can easily construct applications consisting of multiple containers, running anywhere.
  4. How Apple Pay Works And Why It Matters — for some reason this was the right level of explanation for me. Hope it helps. The end result is a token that can be used across merchants and both online (In-App) and offline (NFC, In-Person). Disaggregate and micropay for ALL THE THINGS.
Four short links: 10 June 2014

Four short links: 10 June 2014

Trusting Code, Deep Pi, Docker DevOps, and Secure Database

  1. Trusting Browser Code (Tim Bray) — on the fundamental weakness of the ‘net as manifest in the browser.
  2. Deep Learning in the Raspberry Pi (Pete Warden) — $30 now gets you a computer you can run deep learning algorithms on. Awesome.
  3. Announcing Docker Hub and Official Repositories — as Docker went 1.0 and people rave about how they use it, comes this. They’re thinking hard about “integrating into the build ship run loop”, which aligns well with DevOps-enabling tool use.
  4. Apple’s Secure Database for Users (Ian Waring) — excellent breakdown of how Apple have gone out of their way to make their cloud database product safe and robust. They may be slow to “the cloud” but they have decades of experience having users as customers instead of products.
Four short links: 9 May 2014

Four short links: 9 May 2014

Hardening Android, Samsung Connivery, Scalable WebSockets, and Hardware Machine Learning

  1. Hardening Android for Security and Privacy — a brilliant project! prototype of a secure, full-featured, Android telecommunications device with full Tor support, individual application firewalling, true cell network baseband isolation, and optional ZRTP encrypted voice and video support. ZRTP does run over UDP which is not yet possible to send over Tor, but we are able to send SIP account login and call setup over Tor independently.
  2. The Great Smartphone War (Vanity Fair) — “I represented [the Swedish telecommunications company] Ericsson, and they couldn’t lie if their lives depended on it, and I represented Samsung and they couldn’t tell the truth if their lives depended on it.” That’s the most catching quote, but interesting to see Samsung’s patent strategy described as copying others, delaying the lawsuits, settling before judgement, and in the meanwhile ramping up their own innovation. Perhaps the other glory part is the description of Samsung employee shredding and eating incriminating documents while stalling lawyers out front. An excellent read.
  3. socketclusterhighly scalable realtime WebSockets based on Engine.io. They have screenshots of 100k messages/second on an 8-core EC2 m3.2xlarge instance.
  4. Machine Learning on a Board — everything good becomes hardware, whether in GPUs or specialist CPUs. This one has a “Machine Learning Co-Processor”. Interesting idea, to package up inputs and outputs with specialist CPU, but I wonder whether it’s a solution in search of a problem. (via Pete Warden)
Comment: 1

Talking to Chromecast from iOS

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.

Read more…

Comment: 1