- Smartest Cities Rely on Citizen Cunning and Unglamorous Technology (The Guardian) — vendors like Microsoft, IBM, Siemens, Cisco and Hitachi construct the resident of the smart city as someone without agency; merely a passive consumer of municipal services – at best, perhaps, a generator of data that can later be aggregated, mined for relevant inference, and acted upon. Should he or she attempt to practise democracy in any form that spills on to the public way, the smart city has no way of accounting for this activity other than interpreting it as an untoward disruption to the orderly flow of circulation.
- Second Wave of Blockchain Innovation — the economic challenges of innovating on the blockchain.
- Introduction to the Modern Brain-Computer Interface Design (UCSD) — The lectures were first given by Christian Kothe (SCCN/UCSD) in 2012 at University of Osnabrueck within the Cognitive Science curriculum and have now been recorded in the form of an open online course. The course includes basics of EEG, BCI, signal processing, machine learning, and also contains tutorials on using BCILAB and the lab streaming layer software.
- Machine Learning with Knowledge Graphs (video) — see also extra readings.
"Internet of Things" entries
In this O'Reilly Radar Podcast: David Rose on fairy tale inspiration, and Simon King on designing for future context.
In this podcast episode, David Rose, an instructor at MIT’s Media Lab and CEO at Ditto Labs, sits down with Mary Treseler, O’Reilly’s director of strategic content for our design space. In the interview, Rose defines his mission: “to make technology more elegant, more embedded, and hopefully, more humane.” Technology itself isn’t what drives Rose — he’s looking for inspiration in places that have captured and fueled our imaginations for centuries:
“I’m trying to be very, sort of, fairy-tale driven rather than tech driven. In the book [Enchanted Objects], I go back to some of the patterns that are revealed through Hans Christian Andersen or the Brothers Grimm or other pop culture, like spy culture or Harry Potter or Frodo, and I try to think about what those technologies are or how those services are transferable from one person to another.
“Super powers like Superman’s ability to fly don’t count because he can’t give that to anyone else, but if it’s boots that allow you to walk many miles that you wouldn’t otherwise be able to walk or a purse that replenishes or a magic carpet that could transport anybody, those qualify because those are objects that can be used by many people. I have gone back, studied these crystal balls and other objects of enchantment and magic, and think about how those could be used as a way to inspire the inventors of The Internet of Things today.”
Core competencies and essential reading from hardware, software, manufacturing, and the IoT.
As I noted in “Physical and virtual are blurring together,” we now have hardware that acts like software, and software that’s capable of dealing with the complex subtleties of the physical world. So, what must the innovator, the creator, the executive, the researcher, and the artist do to embrace this convergence of hardware and software?
At its core, this is about a shift from discipline toward intent. Individuals and institutions — whether they’re huge enterprises, small start-ups, or nonprofits — must be competent in several disciplines that increasingly overlap, and should be prepared to solve problems by working fluidly across disciplines.
To use Joi Ito’s example, someone who wants to develop a synthetic eye might begin to approach the problem with biology, or electronics, or software, or (most likely) all three together. Many problems can be solved somewhere in a large multidimensional envelope that trades off design, mechanics, electronics, software, biology, and business models. Experts might still do the best work in each discipline, but everyone needs to know enough about all of them to know where to position a project between them.
Below you’ll find the core competencies in the intersection between software and the physical world, and our favorite books and resources for each one.
Electronics for physical-digital applications
- Practical Electronics, by John M. Hughes: To know what’s possible and where to start, it’s essential to understand both the analog and digital sides of electronics. This is O’Reilly’s authoritative introduction to both analog and digital electronics, with information on circuit design, common parts and techniques, and microcontrollers.
- Raspberry Pi Cookbook, by Simon Monk: The Raspberry Pi is rapidly becoming the standard embedded computing platform for prototyping and experimentation, with enough computing power to run familiar interpreted programming languages and widely supported operating systems.
- Arduino Cookbook, by Michael Margolis: The Arduino microcontroller offers a fluid interface between digital and physical; it’s highly extensible and accessible to people with no prior experience in either electronics or code.
Our biggest opportunities as designers and product creators lie in a context-driven approach to designing user experiences.
Editor’s note: This is an excerpt from our recent book Designing Multi-Device Experiences, by Michal Levin. This excerpt is included in our curated collection of chapters from the O’Reilly Design library. Download a free copy of the Experience Design ebook here.We have entered a world of multi-device experiences. Our lives have become a series of interactions with multiple digital devices, enabling each of us to learn, buy, compare, search, navigate, connect, and manage every aspect of modern life.
Consider the hours we spend with devices every day — interacting with our smartphones, working on our laptops, engaging with our tablets, watching shows on television, playing with our video game consoles, and tracking steps on our fitness wristbands. For many of us, the following are true:
- We spend more time interacting with devices than with people.
- We often interact with more than one device at a time.
The number of connected devices has officially exceeded the seven-billion mark, outnumbering people (and toothbrushes) on the planet. By 2020, this number is expected to pass 24 billion. This inconceivable quantity not only attests to the growing role of these devices in our digital lives, but also signals an increasing number of devices per person. Many individuals now own multiple connected devices — PCs, smartphones, tablets, TVs, and more — and they are already using them together, switching between them, in order to accomplish their goals. Ninety percent of consumers use multiple devices to complete a task over time (PDF). For example, shopping for an item might entail (1) searching and exploring options at home on the PC, (2) checking product information and comparing prices in-store using your smartphone, and (3) writing product reviews on a tablet. Eighty-six percent of consumers use their smartphones while engaging with other devices and during other media consumption activities. Read more…
Dirk Knemeyer on the changing role of design in emerging technology.
The discipline of design is morphing. Designers’ roles and responsibilities are expanding at a tremendous pace. Jonathan Follett, editor of Designing for Emerging Technologies recently sat down with Dirk Knemeyer, founder of Involution Studios, who contributed to the book. Knemeyer discusses the changing role of design and designers in emerging technology.
Changing roles: Designers as engineers
Knemeyer explains the morphing role of designers as technologies advance and disciplines overlap. Designers are expected to have skills or working knowledge of topics well outside design, including programming and industrial design:
“We’re already seeing a convergence of engineering and design. We’ve been talking about it for a decade, that designers need to know how to code. Designers get it, and they’re out there and they’re learning to code. To remain relevant, to remain a meaningful part of the creationary process in these more complicated contexts, that’s only going to accelerate. Designers are going to need to see themselves as engineers, maybe as much, if not more, than as designers in order to be relevant in participating in the design and creation processes within the world of emerging technologies.”
For the time being, we won't see drone delivery outside of a few very specialized use cases.
I read with some interest an article on the Robotenomics blog about the feasibility of drone delivery. It’s an interesting idea, and the article makes a better case than anything I’ve seen before. But I’m still skeptical.
The article quotes direct operating costs (essentially fuel) that are roughly $0.10 for a 2-kilogram payload, delivered 10 kilometers. (For US-residents, that’s 4.4 pounds and about six miles). That’s reasonable enough.
The problem comes when he compares it to Amazon’s current shipping costs, of $2 to $8. But it sounds roughly like what Amazon pays to UPS or FedEx. And that’s not for delivering four pounds within a six-mile range. And it’s not just the fuel cost: it’s the entire cost, including maintenance, administrative overhead, executive bonuses, and (oh, yes) the driver’s salary. Read more…
Simon King on design intuition and designing solutions that work for the user both now and in an unforeseen future.
Design principles are being applied in all aspects of business today — they are no longer limited to graphic design, product design, web design or even experience design. I recently had the chance to speak with Simon King, design director and interaction design community lead at IDEO in Chicago. In our conversation, King talks about balancing design intuition with prototyping and testing, designing beyond the screen, and designing for the unknown.
At IDEO, they take a human-centered approach, observing the user in their environments. That research informs their design process, says King, but they also rely heavily on collaborative design teams with diverse experience, which helps to bring a fresh perspective to every project:
“Our project teams are generally dedicated in working together on one topic. They draw from all this inspiration. They utilize their intuition. They generate a bunch of ideas and build on the ideas of others. That’s really key to having these project teams of diverse designers together so we can build on each other’s ideas. Another big part of it is that in every project, people are working on totally different domains. They’re working in different industries. They’re working for different types of users. We can really cross-pollinate the things that we’ve seen in one area and apply them to another area during that ideation process.”
The shifting economics around manufacturing is fueling an indie hardware movement.
Editor’s note: this is an excerpt from our new report When Hardware Meets Software — download the free report here.All trends rise and fall. A new generation of smart techies has emerged to challenge the false duality of the hardware versus software paradigm. The spiritual heirs of the ham radio operators and homemade rocket enthusiasts of the 1940s and 50s have coalesced to form a maker culture that is quietly subverting the standard industrial model of product design and development.
Even if they aren’t the actual grandsons and granddaughters of the original hobbyists, they apply the same kind of grit, smarts and do-it-yourself confidence as earlier generations of inventors and tinkerers who labored in basements, backyards, and garages all over the world.
Unlike their predecessors, whose audiences were limited mostly to friends and family members, the new generation is sharing its inventiveness globally and selling gadgets through maker-friendly e-commerce markets such as Tindie, Make, and Grand St. Read more…
In this episode of the O'Reilly Data Show Podcast, Jay Kreps talks about data integration, event data, and the Internet of Things.
At the heart of big data platforms are robust data flows that connect diverse data sources. Over the past few years, a new set of (mostly open source) software components have become critical to tackling data integration problems at scale. By now, many people have heard of tools like Hadoop, Spark, and NoSQL databases, but there are a number of lesser-known components that are “hidden” beneath the surface.
In my conversations with data engineers tasked with building data platforms, one tool stands out: Apache Kafka, a distributed messaging system that originated from LinkedIn. It’s used to synchronize data between systems and has emerged as an important component in real-time analytics.
In my travels over the past year, I’ve met engineers across many industries who use Apache Kafka in production. A few months ago, I sat down with O’Reilly author and Radar contributor Jay Kreps, a highly regarded data engineer and former technical lead for Online Data Infrastructure at LinkedIn, and most recently CEO/co-founder of Confluent. Read more…