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The O'Reilly Hardware Podcast is hosted by Jon Bruner and David Cranor, and focuses on the people, ideas, and technology that we feature at the O'Reilly Solid Conference (solidcon.com). We explore topics related to the Internet of Things, hardware, software, manufacturing, and the blurring of the physical and virtual worlds.

O'Reilly Hardware Podcast

David Cranor and Jon Bruner talk with Sanjit Biswas, founder and CEO of the industrial sensor company Samsara.

Sanjit Biswas on Industrial Sensors

CSIS senior fellow and Deputy Director of the Strategic Technologies Program, Denise Zheng, talks with Marty Edwards about the "Industrial Internet of Things". Marty Edwards is the Director of the Industrial Control Systems Cyber Emergency Response Team (ICS-CERT) at the Department of Homeland Security.
 (Read more at https://csis.org/podcasts/strategic-technologies-podcast/security-and-industrial-internet-things-conversation-marty)

Security and the Industrial Internet of Things: A Conversation with Marty Edwards

In this episode of the O’Reilly Hardware Podcast, Jeff Bleiel and I speak with Chris Lirakis, senior manager, engineering of novel computing architectures at IBM. Earlier this year, the company’s quantum computing platform in the cloud, the “IBM Quantum Experience,” was opened up to researchers, scientists, and the public.

Chris Lirakis on the Promise of Quantum Computing

In this episode of the O’Reilly Hardware Podcast, Jeff Bleiel and I speak with Gilad Rosner, a privacy and information policy researcher, and the founder of the Internet of Things Privacy Forum.  Rosner is also the author of the recently-published free O’Reilly ebook, “Privacy and the Internet of Things.”

Gilad Rosner on Privacy in the Age of The Internet of Things

With interest growing in field programmable gate arrays (FPGAs)—witness Amazon’s recent addition of AWS EC2 instances that include dedicated FPGAs—this episode of the O’Reilly Hardware Podcast looks at what FPGAs are and how their capabilities are different from microcontroller boards (such as Arduino and Raspberry Pi).Jeff Bleiel and I speak with Ryan Cousins, co-founder and CEO of KRTKL (pronounced “critical”), the makers of Snickerdoodle, a board that’s based on an ARM/FPGA hybrid chip.

Ryan Cousins on Field Programmable Gate Arrays

In this episode of the O’Reilly Hardware Podcast, Jeff Bleiel and I speak with Niko Triulzi, co-founder and CTO of AE Dreams, the makers of the children’s product Turtle Mail, a wooden mailbox with a WiFi-connected thermal printer inside. Triulzi explains the hardware and software workings of the device, which enables parents, relatives, and friends to send a message from a computer or mobile device. The child then receives the message, which is printed from the mailbox.

Niko Triulzi on IoT Toys

In this episode of the O’Reilly Hardware Podcast, Jeff Bleiel and I speak with Joel Johnson, co-founder and CEO of BoXZY, a startup that makes an all-in-one desktop CNC mill, 3D printer, and laser engraver. We discuss the BoXZY device’s software and hardware, including its CAD/CAM software (Autodesk’s Fusion 360) and controller board (Arduino Mega), as well as its shield, steppers, and firmware.

Joel Johnson on Desktop Fabrication

In this episode of the O’Reilly Hardware Podcast, Brian Jepson and I speak with Mike Vladimer, co-founder of the Orange IoT Studio at Orange Silicon Valley. Vladimer discusses how Internet of Things devices could benefit from connectivity options other than those provided by well-known technologies (including cellular, WiFi, and Bluetooth), and explains the LoRa wireless protocol, which supports long-range and lower-power applications.

Mike Vladimer on IoT Connectivity

Moore's Law -- putting more and more transistors on a chip -- accelerated the computing industry by so many orders of magnitude, it has (and continues to) achieve seemingly impossible feats. However, we're now resorting to brute-force hacks to keep pushing it beyond its limits and are getting closer to the point of diminishing returns (especially given costly manufacturing infrastructure). Yet this very dynamic is leading to "a Cambrian explosion" in computing capabilities… just look at what's happening today with GPUs, FPGAs, and neuromorphic chips. Through such continuing performance improvements and parallelization, classic computing continues to reshape the modern world.

But we're so focused on making our computers do more that we're not talking enough about what classic computers can't do -- and that's to compute things the way nature does, which operates in quantum mechanics. So our smart machines are really quite dumb, argues Rigetti Computing founder and CEO Chad Rigetti; they're limited to human-made binary code vs. the natural reality of continuous variables. This in turn limits our ability to work on problems that classic computers can't solve, such as key applications in computational chemistry or large-scale optimization for machine learning and artificial intelligence. Which is where quantum computing comes in.

But what is quantum computing, really -- beyond the history and the hype? And where are we in reaching the promise of practical quantum computers? (Hint: it will take a hybrid approach to get there.) Who are the players -- companies, countries, types of people/skills -- working on it, and how can a startup compete in this space? Finally, what will it take to get "the flywheel" of application development and discovery going? Part of the answer comes full circle to the same economic engine that drove previous computing advances, argues Chris Dixon; Moore's Law, after all, is more of an economic principle that combined the forces of capitalism, a critical mass of ideas, and people moving things forward by sheer will. Quantum computing is finally getting pulled into the same economic forces as well.

a16z Podcast: Quantum Computing, Now and Next

A funny thing happened on the way to quantum computing: Unlike other major shifts in classic computing before it, it begins -- not ends -- with The Cloud. That's because quantum computers today are more like "physics experiments in a can" that most companies can't use yet -- unless you use software, not just as cloud infrastructure for accessing this computing power commercially but for also building the killer app on top of it. What will that killer app be? With quantum virtual machines and special languages for connecting and trading off classic and quantum computing, companies and developers may be able to help figure that out, not to mention get ahead of this next computing platform (before it surprises them).

Ok, sounds great. Only the old rules don't all apply: You have to fundamentally rethink algorithms for quantum computing, just as with previous waves of high-performance computing before it -- from CPU to GPU to TPU and now to QPU. Because as chips evolve, so do algorithms, and vice versa, in an iterative way. But the chicken-egg question of which came first (the algorithm or the specialized hardware for running it?) doesn't matter as much because the answer itself involves herding chickens: "You're trying to get all of these independent processes to run and cooperate with each other to produce an answer and do so in a way that was faster" than the other way before it, observes Jeff Cordova, interim head of software engineering at quantum computing startup Rigetti Computing. "In hindsight, we really care about the statistical model, not watching the entire movie", shares general partner Vijay Pande, based on his own experiences in the world of high-performance computing.

In this episode of the a16z Podcast (in conversation with Sonal Chokshi), Cordova and Pande talk all about the realities of engineering -- and using -- the next computing platform beyond scientific research and hardening it into practical, commercial, industrial-scale reality. Luckily, the cloud provides a map to get us there, today.

a16z Podcast: The Cloud Atlas to Real Quantum Computing

Jon Bruner and Mike Loukides talk about the classical music publishing industry and how it's being disrupted by projects like the Petrucci Music Library (http://imslp.org/) that make public-domain scores available online.

The future of classical music

Jim Stogdill, Edd Dumbill and Roger Magoulas have a conversation about in-memory databases and the impact on real time analysis. Leave questions and comments for us at http://radar.oreilly.com/2013/05/talking-about-in-memory.html

Talking about in-memory

Jon Bruner, Mike Loukides and Jim Stogdill from O'Reilly Radar muse on the return of software to the physical world.

Software and the physical world

Jon Bruner, Jim Stogdill, and Roger Magoulas talk about anthropology in big data, advances in JavaScript, searching for ancient civilizations, the importance of context, and good sites for checking the weather.

Related blog post: http://radar.oreilly.com/2013/06/radar-podcast-anthropology-big-data-and-the-importance-of-context.html

Anthropology, big data, and the importance of context

Jon Bruner, Jim Stogdill, and Roger Magoulas talk about what's been on their minds this week: the NSA's surveillance programs, what defense contractors will do with their technology as defense budgets dry up, and a Californian who isn't doing what you think he's doing with hydroponics.

For more on these topics, and links to the things we talked about, see http://radar.oreilly.com/2013/06/radar-podcast-the-internet-of-things-prism-and-defense-technology-that-goes-civilian.html.

The Internet of Things, PRISM, and defense technology that goes civilian

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.