- Funders Punish Open Access Dodgers (Nature) — US’s NIH and UK’s Wellcome Trust are withholding funding from academics who haven’t released their data despite it being a condition of past funding. It’s open access’s grab twist and pull move.
- Digitize Books with Mindstorms and Raspberry Pi — Lego to turn the page, Pi to take photo.
- Humans Steal Jobs from Robots at Toyota (Bloomberg) — Toyota’s next step forward is counter-intuitive in an age of automation: Humans are taking the place of machines in plants across Japan so workers can develop new skills and figure out ways to improve production lines and the car-building process.
- Implementer’s Guide to Security for Internet of Things, Devices and Beyond (PDF) — This white paper outlines a set of practical and pragmatic security considerations for organisations designing, developing and, testing Internet of Things (IoT) devices and solutions. The purpose of this white paper is to provide practical advice for consideration as part of the product development lifecycle.
ENTRIES TAGGED "robots"
Open Access, Lego Scanner, Humans Return, and Designing Security into IoT
Our Robot Future, Embeddable Pi, Behavioural Economics Not Solved Problem, and Imagine Processing Language
- Next Five Years for Robots — plausible summary of the near future progression, taken from Helen Greiner’s DEMOlabs talk.
- Raspberry Pi Compute Module — a Raspberry Pi shrunk down to fit on a SODIMM with onboard memory, whose connectors you can customise for your own needs. (via Makezine)
- Behavioural Economics and Public Policy (Financial Times) — interesting how A/B trials revealed that implementations of Cialdini’s social proof didn’t test as well as non-social-proof persuasive techniques. More useful than something that claims to be the right answer is knowing when you’re closer to the right answer. (via Mind Hacks)
- Halide Language — open source programming language designed to make it easier to write high-performance image processing code on modern machines. Its current front end is embedded in C++. Compiler targets include x86/SSE, ARM v7/NEON, CUDA, Native Client, and OpenCL.
Legal Automata, Invasive Valley, Feature Creep, and Device Market Share
- The Transformation of the Workplace Through Robotics, Artificial Intelligence, and Automation — fascinating legal questions about the rise of the automated workforce. . Is an employer required to bargain if it wishes to acquire robots to do work previously performed by unionized employees working under a collective bargaining agreement? does the collective bargaining agreement control the use of robots to perform this work? A unionized employer seeking to add robots to its business process must consider these questions. (via Robotenomics)
- The Invasive Valley of Personalization (Maria Anderson) — there is a fine line between useful personalization and creepy personalization. It reminded me of the “uncanny valley” in human robotics. So I plotted the same kind of curves on two axes: Access to Data as the horizontal axis, and Perceived Helpfulness on the vertical axis. For technology to get vast access to data AND make it past the invasive valley, it would have to be perceived as very high on the perceived helpfulness scale.
- Coffee and Feature Creep — fantastic story of how a chat system became a bank. (via BoingBoing)
- The Rise and Fall of PCs — use this slide of market share over time by device whenever you need to talk about the “post-PC age”. (via dataisugly subreddit)
On Managers, Human Data, Driverless Cars, and Bad Business
- On Managers (Mike Migurski) — Managers might be difficult, hostile, or useless, but because they are parts of an explicit power structure they can be evaluated explicitly.
- Big Data: Humans Required (Sherri Hammons) — the heart of the problem with data: interpretation. Data by itself is of little value. It is only when it is interpreted and understood that it begins to become information. GovTech recently wrote an article outlining why search engines will not likely replace actual people in the near future. If it were merely a question of pointing technology at the problem, we could all go home and wait for the Answer to Everything. But, data doesn’t happen that way. Data is very much like a computer: it will do just as it’s told. No more, no less. A human is required to really understand what data makes sense and what doesn’t. (via Anne Zelenka)
- Morgan Stanley on the Economic Benefits of Driverless Cars — The total savings of over $5.6 trillion annually are not envisioned until a couple of decades as Morgan Stanley see four phases of adoption of self-driving vehicles. Phase 1 is already underway, Phase 2 will be semi-autonomous, Phase 3 will be within 5 to 10 years, by which time we will see fully self-driving vehicles on the roads – but not widespread usage. The authors say Phase 4, which will have the biggest impact, is when 100% of all vehicles on the roads will be fully autonomous, they say this may take a couple of decades.
- Worse (Marco Arment) — I’ve been sitting on this but can’t fault it. In the last few years, Google, Apple, Amazon, Facebook, and Twitter have all made huge attempts to move into major parts of each others’ businesses, usually at the detriment of their customers or users.
MtGox Go Boom, Flappy Bird, Air Hockey Hack, and Robo Lab
- Bitcoin Markets Down — value of bitcoins plunges as market uncertain after largest bitcoin exchange goes insolvent after losing over 750k bitcoins because they didn’t update their software after a flaw was discovered in the signing of transactions.
- Flappy Bird for the Commodore 64 — the 1980s games platform meets the 2014 game. cf the machine learning hack where the flappy bird learns to play the game successfully.
- Air Hockey Robot — awesome hack.
- Run 30 Lab Tests on Only One Drop of Blood — automated lab processing to remove the human error in centrifuging, timing, etc. that added to variability of results.
Emotions Wanted, Future's So Bright, Machine Learning for Security, and Medieval Unicode Fonts
- What Machines Can’t Do (NY Times) — In the 1950s, the bureaucracy was the computer. People were organized into technocratic systems in order to perform routinized information processing. But now the computer is the computer. The role of the human is not to be dispassionate, depersonalized or neutral. It is precisely the emotive traits that are rewarded: the voracious lust for understanding, the enthusiasm for work, the ability to grasp the gist, the empathetic sensitivity to what will attract attention and linger in the mind. Cf the fantastic The Most Human Human. (via Jim Stogdill)
- The Technium: A Conversation with Kevin Kelly (Edge) — If we were sent back with a time machine, even 20 years, and reported to people what we have right now and describe what we were going to get in this device in our pocket—we’d have this free encyclopedia, and we’d have street maps to most of the cities of the world, and we’d have box scores in real time and stock quotes and weather reports, PDFs for every manual in the world—we’d make this very, very, very long list of things that we would say we would have and we get on this device in our pocket, and then we would tell them that most of this content was free. You would simply be declared insane. They would say there is no economic model to make this. What is the economics of this? It doesn’t make any sense, and it seems far-fetched and nearly impossible. But the next twenty years are going to make this last twenty years just pale. (via Sara Winge)
- Applying Machine Learning to Network Security Monitoring (Slideshare) — interesting deck on big data + machine learning as applied to netsec. See also their ML Sec Project. (via Anton Chuvakin)
- Medieval Unicode Font Initiative — code points for medieval markup. I would have put money on Ogonek being a fantasy warrior race. Go figure.
Will automation beget a jobless wasteland or more stimulating, creative employment? That's up for debate.
Editor’s note: We’re trying something new here. I read this back-and-forth exchange between Malcolm Gladwell and Bill Simmons, and decided we should give it a try. Or, more accurately, since we’re already having plenty of back-and-forth email exchanges like that, we just need to start publishing them. My friend Doug Hill, author of Not So Fast: Thinking Twice About Technology, agreed to be a guinea pig and chat with me about a subject that’s on both of our minds (and a lot of other people’s): technology and the jobless recovery. We’ll be diving into this topic again next week in a debate hosted at Strata. This post was lightly edited on 2/6/14 for clarity.
STOGDILL: I saw this Tweet over the holidays while I was reading your book. I mean, I literally got distracted by this tweet while I was reading your book:
— Ari Gesher (@alephbass) January 3, 2014
It felt like a natural moment of irony that I had to share with you. In the article Ari Gesher references in his Tweet, Vivek Whadwa obviously has an optimistic point of view, and Gesher was right to call out the inconsistency of his claims with our jobless recovery. I also recently read George Packer’s The Unwinding, his enlightening and disturbing look at the human stories behind our current malaise, and frankly it seems to better reflect the truth on the ground, at least if you get outside of the big five metro areas. But I suspect not a lot of techno optimists are spending time in places that won’t get 4G LTE for another year or two. Read more…
Real Time Exploratory Analytics, Algorithmic Agendas, Disassembly Engine, and Future of Employment
- Druid — open source clustered data store (not key-value store) for real-time exploratory analytics on large datasets.
- It’s Time to Engineer Some Filter Failure (Jon Udell) — Our filters have become so successful that we fail to notice: We don’t control them, They have agendas, and They distort our connections to people and ideas. That idea that algorithms have agendas is worth emphasising. Reality doesn’t have an agenda, but the deployer of a similarity metric has decided what features to look for, what metric they’re optimising, and what to do with the similarity data. These are all choices with an agenda.
- Capstone — open source multi-architecture disassembly engine.
- The Future of Employment (PDF) — We note that this prediction implies a truncation in the current trend towards labour market polarization, with growing employment in high and low-wage occupations, accompanied by a hollowing-out of middle-income jobs. Rather than reducing the demand for middle-income occupations, which has been the pattern over the past decades, our model predicts that computerisation will mainly substitute for low-skill and low-wage jobs in the near future. By contrast, high-skill and high-wage occupations are the least susceptible to computer capital. (via The Atlantic)
Mature Engineering, Control Theory, Open Access USA, and UK Health Data Too-Open?
- On Being a Senior Engineer (Etsy) — Mature engineers know that no matter how complete, elegant, or superior their designs are, it won’t matter if no one wants to work alongside them because they are assholes.
- Control Theory (Coursera) — Learn about how to make mobile robots move in effective, safe, predictable, and collaborative ways using modern control theory. (via DIY Drones)
- US Moves Towards Open Access (WaPo) — Congress passed a budget that will make about half of taxpayer-funded research available to the public.
- NHS Patient Data Available for Companies to Buy (The Guardian) — Once live, organisations such as university research departments – but also insurers and drug companies – will be able to apply to the new Health and Social Care Information Centre (HSCIC) to gain access to the database, called care.data. If an application is approved then firms will have to pay to extract this information, which will be scrubbed of some personal identifiers but not enough to make the information completely anonymous – a process known as “pseudonymisation”. Recipe for disaster as it has been repeatedly shown that it’s easy to identify individuals, given enough scrubbed data. Can’t see why the NHS just doesn’t make it an app in Facebook. “Nat’s Prostate status: it’s complicated.”
Artificial Labour, Flexible Circuits, Vanishing Business Sexts, and Themal Imaging
- Artificial Labour and Ubiquitous Interactive Machine Learning (Greg Borenstein) — in which design fiction, actual machine learning, legal discovery, and comics meet. One of the major themes to emerge in the 2H2K project is something we’ve taken to calling “artificial labor”. While we’re skeptical of the claims of artificial intelligence, we do imagine ever-more sophisticated forms of automation transforming the landscape of work and economics. Or, as John puts it, robots are Marxist.
- Clear Flexible Circuit on a Contact Lens (Smithsonian) — ends up about 1/60th as thick as a human hair, and is as flexible.
- Confide (GigaOm) — Enterprise SnapChat. A Sarbanes-Oxley Litigation Printer. It’s the Internet of Undiscoverable Things. Looking forward to Enterprise Omegle.
- FLIR One — thermal imaging in phone form factor, another sensor for your panopticon. (via DIY Drones)