Giving Robots and Prostheses the Human Touch — the team, led by mechanical engineer Veronica J. Santos, is constructing a language of touch that both a computer and a human can understand. The researchers are quantifying this with mechanical touch sensors that interact with objects of various shapes, sizes, and textures. Using an array of instrumentation, Santos’ team is able to translate that interaction into data a computer can understand. The data is used to create a formula or algorithm that gives the computer the ability to identify patterns among the items it has in its library of experiences and something it has never felt before. This research will help the team develop artificial haptic intelligence, which is, essentially, giving robots, as well as prostheses, the “human touch.”
boltons — things in Python that should have been builtins.
Everything We Wish We’d Known About Building Data Products (DJ Patil and RusJan Belkin) — Data is super messy, and data cleanup will always be literally 80% of the work. In other words, data is the problem. […] “If you’re not thinking about how to keep your data clean from the very beginning, you’re fucked. I guarantee it.” […] “Every single company I’ve worked at and talked to has the same problem without a single exception so far — poor data quality, especially tracking data,” he says.“Either there’s incomplete data, missing tracking data, duplicative tracking data.” To solve this problem, you must invest a ton of time and energy monitoring data quality. You need to monitor and alert as carefully as you monitor site SLAs. You need to treat data quality bugs as more than a first priority. Don’t be afraid to fail a deploy if you detect data quality issues.
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.
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.
Welfare Makes America More Entrepreneurial (The Atlantic) — In a 2014 paper, Olds examined the link between entrepreneurship and food stamps, and found that the expansion of the program in some states in the early 2000s increased the chance that newly eligible households would own an incorporated business by 16%. (Incorporated firms are a better proxy for job-creating startups than unincorporated ones.)
Festo’s Fantastical Insectoid Robots Include Bionic Ants and Butterflies (IEEE) — Each butterfly has a 50-centimeter wingspan and weighs just 32 grams, but carries along two servo motors to independently actuate the wings, an IMU, accelerometer, gyro, and compass, along with two tiny 90-mAh lithium-polymer batteries. With a wing beat frequency of between one and two flaps per second, top speed is 2.5 m/s, with a flight time of three to four minutes before needing a 15-minute charge. The wings themselves use impossibly thin carbon rods for structure, and are covered with an even thinner elastic capacitor film.
Arduino Celebration and Hexbugs hacking with Bob Martin (SparkFun) — The Hunter demo is a combination of object detection and object avoidance. It uses an IR sensor array to determine objects around it. Objects that appear and then disappear quickly, say in a second or two are targets which it will walk towards; however, a target that stays constant will be avoided. I’m still trying to find the perfect balance between making a decision between fleeing prey and a wall using only simple proximity samples from an IR detector array.
Souders Joins Speedcurve — During these engagements, I’ve seen that many of these companies don’t have the necessary tools to help them identify how performance is impacting (hurting) the user experience on their websites. There is even less information about ways to improve performance. The standard performance metric is page load time, but there’s often no correlation between page load time and the user’s experience. We need to shift from network-based metrics to user experience metrics that focus on rendering and when content becomes available. That’s exactly what Mark is doing at SpeedCurve, and why I’m excited to join him.
3 Steps for Licensing Your 3D-Printed Stuff (PDF) — this paper is not actually about choosing the right license for your 3D printable stuff (sorry about that). Instead, this paper aims to flesh out a copyright analysis for both physical objects and for the digital files that represent them, allowing you to really understand what parts of your 3D object you are—and are not—licensing. Understanding what you are licensing is key to choosing the right license. Simply put, this is because you cannot license what you do not legally control in the first place. There is no point in considering licenses that ultimately do not have the power to address whatever behavior you’re aiming to control. However, once you understand what it is you want to license, choosing the license itself is fairly straightforward. (via BoingBoing)
Using Monitoring Dashboards to Change Behaviour — [After years of neglect] One day we wrote some brittle Ruby scripts that polled various services. They collated the metrics into a simple database and we automated some email reports and built a dashboard showing key service metrics. We pinpointed issues that we wanted to show people. Things like the login times, how long it would take to search for certain keywords in the app, and how many users were actually using the service, along with costs and other interesting facts. We sent out the link to the dashboard at 9am on Monday morning, before the weekly management call. Within 2 weeks most problems were addressed. It is very difficult to combat data, especially when it is laid out in an easy to understand way.
NSF Requiring Public Access — NSF will require that articles in peer-reviewed scholarly journals and papers in juried conference proceedings or transactions be deposited in a public access compliant repository and be available for download, reading, and analysis within one year of publication.
Filtered for Capital (Matt Webb) — It’s important to get a credit line [for hardware startups] because growing organically isn’t possible — even if half your sell-in price is margin, you can only afford to grow your batch size at 50% per cycle… and whether it’s credit or re-investing the margin, all that growth incurs risk, because the items aren’t pre-sold. There are double binds all over the place here.
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.
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).
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.”
cxxnet — “a fast, concise, distributed deep learning framework” that scales beyond a single GPU.
Calaos — a free software project (GPLv3) that lets you control and monitor your home.
Founder Wants to be a Horse Not a Unicorn (Business Insider) — this way of thinking — all or nothing moonshots to maximise shareholder value — has become pervasive dogma in tech. It’s become the only respectable path. Either you’re running a lowly lifestyle business, making ends meet so you can surf all afternoon, or you’re working 17-hour days goring competitors with your $US48MM Series C unicorn horn on your way to billionaire mountain.
Guidance Note on Uncertainty (PDF) –expert advice to IPCC scientists on identifying, quantifying, and communicating uncertainty. Everyone deals with uncertainty, but none are quite so ruthless in their pursuit of honesty about it as scientists. (via Peter Gluckman)
SparkFun Rapid Prototyping Lab — with links to some other expert advice on creative spaces. Some very obvious software parallels, too. E.g., this from Adam Savage’s advice: The right tool for the job – Despite his oft-cited declaration that ‘every tool is a hammer,’ Adam can usually be relied on to geek-out about purpose-built tools. If you’re having trouble learning a new skill, check that you’re using the right tools. The right tool is the one that does the hard work for you. There’s no point in dropping big bucks on tools you’re almost certainly not going to use, but don’t be afraid to buy the cheap version of the snap-setter, or leather punch, or tamper bit before trying to jerry-rig something that will end up making your life harder.
Dudes with Drones (The Atlantic) — ghastly title (“Bros with Bots”, “Bangers with Clangers”, and “Fratboys with Phat Toys” were presumably already taken), interesting article. San Diego is the Palo Alto of drones. Interesting to compare software startups with the hardware crews’ stance on the FAA. “We want them to regulate us,” Maloney says. “We want nothing more than a framework to allow us to continue to operate safely and legally.”
VCs Return to Backing Science Startups (NY Times) — industry and energy investment doubled this year, biotech up 26% in first half, but a lot of the investments are comically small and the risk remains acutely high.
dronecode — Linux Foundation common, shared open source platform for Unmanned Aerial Vehicles (UAVs). The platform has been adopted by many of the organizations on the forefront of drone technology, including 3DRobotics, DroneDeploy, HobbyKing, Horizon Ag, PrecisionHawk, Agribotics, and Walkera, among other.
The Physical Web — a discovery service for physical things. Interesting to see a Google angle: the list of available things might be huge, so it’ll be sorted, and ranking long lists of results is a Core Competency.