"ai" entries

Four short links: 28 May 2015

Four short links: 28 May 2015

Messaging and Notifications, Game Postmortem, Recovering Robots, and Ethical AI

  1. Internet Trends 2015 (PDF) — Mary Meeker’s preso. Messaging + Notifications = Key Layers of Every Meaningful Mobile App, Messaging Leaders Aiming to Create Cross-Platform Operating Systems That Are Context-Persistent Communications Hubs for More & More Services. This year’s deck feels more superficial, less surprising than in years past.
  2. When the Land Goes Under the SeaAs it turns out: People really despise being told to not replay the game. Almost universally, the reaction to that was a kernel of unhappiness amidst mostly positive reviews. In retrospect, including that note was a mistake for a number of reasons. My favorite part of game postmortems is what the designers learned about how people approach experiences.
  3. Damage Recovery Algorithm for Robots (IEEE) — This illustrates how it’s possible to endow just about any robot with resiliency via this algorithm, as long as it’s got enough degrees of freedom to enable adaptive movement. Because otherwise the Terminators will just stop when we shoot them.
  4. The Counselor — short fiction with ethics, AI, and how good things become questionable.
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Four short links: 27 May 2015

Four short links: 27 May 2015

Domo Arigato Mr Google, Distributed Graph Processing, Experiencing Ethics, and Deep Learning Robots

  1. Roboto — Google’s signature font is open sourced (Apache 2.0), including the toolchain to build it.
  2. Pregel: A System for Large Scale Graph Processing — a walk through a key 2010 paper from Google, on the distributed graph system that is the inspiration for Apache Giraph and which sits under PageRank.
  3. How to Turn a Liberal Hipster into a Global Capitalist (The Guardian) — In Zoe Svendsen’s play “World Factory at the Young Vic,” the audience becomes the cast. Sixteen teams sit around factory desks playing out a carefully constructed game that requires you to run a clothing factory in China. How to deal with a troublemaker? How to dupe the buyers from ethical retail brands? What to do about the ever-present problem of clients that do not pay? […] And because the theatre captures data on every choice by every team, for every performance, I know we were not alone. The aggregated flowchart reveals that every audience, on every night, veers toward money and away from ethics. I’m a firm believer that games can give you visceral experience, not merely intellectual knowledge, of an activity. Interesting to see it applied so effectively to business.
  4. End to End Training of Deep Visuomotor Policies (PDF) — paper on using deep learning to teach robots how to manipulate objects, by example.
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Four short links: 25 May 2015

Four short links: 25 May 2015

8 (Bits) Is Enough, Second Machine Age, LLVM OpenMP, and Javascript Graphs

  1. Why Are Eight Bits Enough for Deep Neural Networks? (Pete Warden) — It turns out that neural networks are different. You can run them with eight-bit parameters and intermediate buffers, and suffer no noticeable loss in the final results. This was astonishing to me, but it’s something that’s been re-discovered over and over again.
  2. The Great Decoupling (HBR) — The Second Machine Age is playing out differently than the First Machine Age, continuing the long-term trend of material abundance but not of ever-greater labor demand.
  3. OpenMP Support in LLVMOpenMP enables Clang users to harness full power of modern multi-core processors with vector units. Pragmas from OpenMP 3.1 provide an industry standard way to employ task parallelism, while ‘#pragma omp simd’ is a simple yet flexible way to enable data parallelism (aka vectorization).
  4. JS Graphs — a visual catalogue (with search) of Javascript graphing libraries.
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Four short links: 14 May 2015

Four short links: 14 May 2015

Human-Machine Cooperation, Concurrent Systems Books, AI Future, and Gesture UI

  1. Ghosts in the Machines (Courtney Nash) — People are neither masters of machines, nor subservient to their machine-learning outcomes — we cannot, and should not, separate the two. We are actors, together, in a very complex system. David Woods calls this “joint cognitive systems.”
  2. TLA+ (Leslie Lamport) — two tutorials: “Principles of Concurrent Computing” and “Specification of Concurrent Systems.” Ironically, I see people grizzling that the book on distributed systems hasn’t been linearised. I wonder if you can partition it into the two tutorials and still have full availability…
  3. Deep Learning vs Probabilistic vs LogicAs of 2015, I pity the fool who prefers Modus Ponens over Gradient Descent.
  4. Touché (Disney Research) — measur[es] capacitive response of object and human at multiple frequencies, a technique that we called Swept Frequency Capacitive Sensing. The signal travels through different paths depending on its frequency, capturing the posture of human hand and body as well as other properties of the context. The resulted data is classified using machine learning algorithms to identify gestures that are then used to trigger desired responses of the user interface.
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Creative computing with Clojure

Exploring Clojure as a tool to generate music, visual art, poetry, and dance.

creative_clojure

Clojure is gaining traction and popularity as a programming language. Both enterprises and startups are adopting this functional language because of the simplicity, elegance, and power that it brings to their business. The language originated on the JVM, but has since spread to run on the CLR and Node.js, including web browsers and mobile devices. With this spread of practical innovation, there has been another delightful development: a groundswell of people making art with Clojure.

Getting creative with Clojure

Creative Computing combines the power and engineering of the computer with the artistic inspirations of humans. People are using Clojure as a tool to generate music, visual art, poetry, and even dance. This ability to harness technology for creative purposes is both exciting and important. For it not only touches the heart and inspires existing technologists, but it also transcends all barriers. Art is a gateway to bring new people, young and old, from all walks of life, to the field of programming.

Let’s explore some of the areas of Creative Computing with Clojure, and showcase some inspiring examples from a selection of artist/programmers. We’ll look at projects that touch on music, art, games, writing, and even robots.

Read more…

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Four short links: 6 May 2015

Four short links: 6 May 2015

Self-Driving Cars, Cloud BigTable, Define "Uptime," and Continuous Delivery Architectures

  1. Andrew Ng (Wired) — I think self-driving cars are a little further out than most people think. There’s a debate about which one of two universes we’re in. In the first universe it’s an incremental path to self-driving cars, meaning you have cruise control, adaptive cruise control, then self-driving cars only on the highways, and you keep adding stuff until 20 years from now you have a self-driving car. In universe two you have one organization, maybe Carnegie Mellon or Google, that invents a self-driving car and bam! You have self-driving cars. It wasn’t available Tuesday but it’s on sale on Wednesday. I’m in universe one. I think there’s a lot of confusion about how easy it is to do self-driving cars. There’s a big difference between being able to drive a thousand miles, versus being able to drive anywhere. And it turns out that machine-learning technology is good at pushing performance from 90 to 99 percent accuracy. But it’s challenging to get to four nines (99.99 percent). I’ll give you this: we’re firmly on our way to being safer than a drunk driver.
  2. Google Cloud BigTable — Google’s BigTable, with Apache HBase API, single-digit millisecond latency, and “fully managed”. G are hell-bent on catching up with Amazon and Microsoft at this cloud serving thing.
  3. Call Me Maybe: AerospikeWe’re setting a timeout of 500ms here, and operations still time out every time a partition between nodes occurs. In these tests we aren’t interfering with client-server traffic at all. Aerospike may claim “100% uptime”, but this is only meaningful with respect to particular latency bounds. Given Aerospike claims millisecond-scale latencies, you may want to reconsider whether you consider this “uptime”.
  4. 31 Continuous Delivery Architectures (Slideshare) — from a vendor, so one name crops up repeatedly (other than “Jenkins”), but it’s still good devops voyeurism/envy.
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Four short links: 17 April 2015

Four short links: 17 April 2015

Distributed SQLite, Communicating Scientists, Learning from Failure, and Cat Convergence

  1. Replicating SQLite using Raft Consensus — clever, he used a consensus algorithm to build a distributed (replicated) SQLite.
  2. When Open Access is the Norm, How do Scientists Communicate? (PLOS) — From interviews I’ve conducted with researchers and software developers who are modeling aspects of modern online collaboration, I’ve highlighted the most useful and reproducible practices. (via Jon Udell)
  3. Meet DJ Patil“It was this kind of moment when you realize: ‘Oh, my gosh, I am that stupid,’” he said.
  4. Interview with Bruce Sterling on the Convergence of Humans and MachinesIf you are a human being, and you are doing computation, you are trying to multiply 17 times five in your head. It feels like thinking. Machines can multiply, too. They must be thinking. They can do math and you can do math. But the math you are doing is not really what cognition is about. Cognition is about stuff like seeing, maneuvering, having wants, desires. Your cat has cognition. Cats cannot multiply 17 times five. They have got their own umwelt (environment). But they are mammalian, you are a mammalian. They are actually a class that includes you. You are much more like your house cat than you are ever going to be like Siri. You and Siri converging, you and your house cat can converge a lot more easily. You can take the imaginary technologies that many post-human enthusiasts have talked about, and you could afflict all of them on a cat. Every one of them would work on a cat. The cat is an ideal laboratory animal for all these transitions and convergences that we want to make for human beings. (via Vaughan Bell)
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Four short links: 16 April 2015

Four short links: 16 April 2015

Relationships and Inference, Mother of All Demos, Kafka at Scale, and Real World Hardware

  1. DeepDiveDeepDive is targeted to help users extract relations between entities from data and make inferences about facts involving the entities. DeepDive can process structured, unstructured, clean, or noisy data and outputs the results into a database.
  2. From the Vault: Watching (and re-watching) “The Mother of All Demos”“I wish there was more about the social vision for computing—I worked with him for a long time, and Doug was always thinking ‘how can we collectively collaborate,’ like a sort of rock band.”
  3. Running Kafka at Scale (LinkedIn Engineering) — This tiered infrastructure solves many problems, but it greatly complicates monitoring Kafka and assuring its health. While a single Kafka cluster, when running normally, will not lose messages, the introduction of additional tiers, along with additional components such as mirror makers, creates myriad points of failure where messages can disappear. In addition to monitoring the Kafka clusters and their health, we needed to create a means to assure that all messages produced are present in each of the tiers, and make it to the critical consumers of that data.
  4. 3D Printing Titanium, and the Bin of Broken Dreams — you will learn HUGE amounts on the challenges of real-world manufacturing by reading this.
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Four short links: 30 March 2015

Four short links: 30 March 2015

Philosophical Research, Reading Turing, Security Exercises, and Golang Madness

  1. The Trolley and the PsychopathNot only does a “utilitarian” response (“just kill the fat guy”) not actually reflect a utilitarian outlook, it may actually be driven by broad antisocial tendencies, such as lowered empathy and a reduced aversion to causing someone harm. Questionably expanding scope of claims in the behavioural philosophy research. (via Ed Yong)
  2. Summary of Computing Machinery and Intelligence (1950) by Alan Turing (Jack Hoy) — still interesting and relevant today. cf Why Aren’t We Reading Turing
  3. Exploit Exercisesa variety of virtual machines, documentation, and challenges that can be used to learn about a variety of computer security issues, such as privilege escalation, vulnerability analysis, exploit development, debugging, reverse engineering, and general cyber security issues.
  4. GopherJS — golang to Javascript compiler so you can experience the ease of typed compiled languages in the security and stability of the browser platform.
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Four short links: 18 March 2015

Four short links: 18 March 2015

Moonshots, Decacorns, Leadership, and Deep Learning

  1. How to Make Moonshots (Astro Teller) — Expecting a person to be a reliable backup for the [self-driving car] system was a fallacy. Once people trust the system, they trust it. Our success was itself a failure. We came quickly to the conclusion that we needed to make it clear to ourselves that the human was not a reliable backup — the car had to always be able to handle the situation. And the best way to make that clear was to design a car with no steering wheel — a car that could drive itself all of the time, from point A to point B, at the push of a button.
  2. Billion-Dollar Math (Bloomberg) — There’s a new buzzword, “decacorn,” for those over $10 billion, which includes Airbnb, Dropbox, Pinterest, Snapchat, and Uber. It’s a made-up word based on a creature that doesn’t exist. “If you wake up in a room full of unicorns, you are dreaming,” Todd Dagres, a founding partner at Spark Capital, recently told Bloomberg News. Not just cute seeing our industry explained to the unwashed, but it’s the first time I’d seen decacorn. (The weather’s just dandy in my cave, thanks for asking).
  3. What Impactful Engineering Leadership Looks Like — aside from the ugliness of “impactful,” notable for good advice. “When engineering management is done right, you’re focusing on three big things,” she says. “You’re directly supporting the people on your team; you’re managing execution and coordination across teams; and you’re stepping back to observe and evolve the broader organization and its processes as it grows.”
  4. cxxnet“a fast, concise, distributed deep learning framework” that scales beyond a single GPU.
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