Announcing Otto — new Hashicorp tool that automatically builds development environments without any configuration; it can detect your project type and has built-in knowledge of industry-standard tools to setup a development environment that is ready to go. When you’re ready to deploy, Otto builds and manages an infrastructure, sets up servers, builds, and deploys the application.
Homebrew Bioweapons Not Imminent Threat — you need a safe facility, lab instruments, base strain, design and execution skills, and testing. None of these are easy until the Amazon-Google cloud wars finally cause them to move into “bioweapons as a service.”
gitrob — a command line tool that can help organizations and security professionals find such sensitive information. The tool will iterate over all public organization and member repositories and match filenames against a range of patterns for files, that typically contain sensitive or dangerous information.
How Much is a Leader’s Integrity Worth? — Kiel found that high-integrity CEOs had a multi-year return of 9.4%, while low-integrity CEOs had a yield of just 1.9%. What’s more, employee engagement was 26% higher in organizations led by high-integrity CEOs. (via Neelan Choksi)
Police Program Aims to Pinpoint Those Most Likely to Commit Crimes (NYT) — John S. Hollywood, a senior operations researcher at the RAND Corporation, said that in the limited number of studies undertaken to measure the efficacy of predictive policing, the improvement in forecasting crimes had been only 5% or 10% better than regular policing methods.
Apple’s Assault on Advertising and Google (Calacanis) — Google wants to be proud of their legacy, and tricking people into clicking ads and selling our profiles to advertisers is an awesome business – but a horrible legacy for Larry and Sergey. Read beside the Bloomberg piece on click fraud and the future isn’t too rosy for advertising. If the ad bubble bursts, how much of the Web will it take with it?
$9 Computer Hardware (Makezine) — open hardware project, with open source software. The board’s spec is a 1GHz R8 ARM processor with 512MB of RAM, 4GB of NAND storage, and Wi-Fi and Bluetooth built in.
Data Analytics in Sports — O’Reilly research report (free). When it comes to processing stats, competing companies Opta and ProZone use a combination of recording technology and human analysts who tag “events” within the game (much like Vantage Sports). Opta calculates that it tags between 1,600 and 2,000 events per football game — all delivered live.
Ant Algorithms for Discrete Optimization (Adrian Colyer) — Stigmergy is the generic term for the stimulation of workers by the performance they have achieved – for example, termite nest-building works in a similar way. Stigmergy is a form of indirect communication “mediated by physical modifications of environmental states which are only locally accessible to the communicating agents.
Deep Belief Networks at the Heart of NASA Image Classification — The two new labeled satellite data sets were put to the test with a modified deep-belief-networks-driven approach, ultimately. The results show classification accuracy of 97.95%, which performed better than the unmodified pure deep belief networks, convolutional neural networks, and stacked de-noising auto-encoders by around 11%.
China Extracting Pledge of Compliance from US Firms (NY Times) — The letter also asks the American companies to ensure their products are “secure and controllable,” a catchphrase that industry groups said could be used to force companies to build so-called back doors — which allow third-party access to systems — provide encryption keys or even hand over source code.
Toyota’s Robot Car Plans (IEEE Spectrum) — Toyota hired the former head of DARPA’s Robotics Challenge. Pratt explained that a U.S. $50 million R&D collaboration with MIT and Stanford is just the beginning of a large and ambitious program whose goal is developing intelligent vehicles that can make roads safer and robot helpers that can improve people’s lives at home.
How Will Real-Time Tracking Change the NFL? (New Yorker) — At the moment, the NFL is being tightfisted with the data. Commentators will have access during games, as will the betting and analytics firm Sportradar. Users of the league’s Xbox One app, which provides an interactive way of browsing video clips, fantasy-football statistics, and other metrics, will be able to explore a feature called Next Gen Replay, which allows them to track each player’s speed and trajectory, combining moving lines on a virtual field with live footage from the real one. But, for now, coaches are shut out; once a player exits the locker room on game day, the dynamic point cloud that is generated by his movement through space is a corporately owned data set, as outlined in the league’s 2011 collective-bargaining agreement. Which should tell you all you need to know about the NFL’s role in promoting sporting excellence.
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.”
Computer Science Courses that Don’t Exist, But Should (James Hague) — CSCI 3300: Classical Software Studies. Discuss and dissect historically significant products, including VisiCalc, AppleWorks, Robot Odyssey, Zork, and MacPaint. Emphases are on user interface and creativity fostered by hardware limitations.
Seven Microservices Anti-Patterns — One common mistake people made with SOA was misunderstanding how to achieve the reusability of services. Teams mostly focused on technical cohesion rather than functional regarding reusability. For example, several services functioned as a data access layer (ORM) to expose tables as services; they thought it would be highly reusable. This created an artificial physical layer managed by a horizontal team, which caused delivery dependency. Any service created should be highly autonomous – meaning independent of each other.