Embedded
Chris and Elecia spoke with Kirk Pearson about running audio-electronic-art workshops, interesting sounds, and their book Find the book and a whole kit of parts on the . A few clicks from there you can find the (don’t forget the coupon in the show audio). We also mentioned The Thing (), Elliot Williams’ writing on CMOS synthesizers () and the videos of Sebastian Tomczak (YouTube: ). Memfault is a leading embedded device observability platform that empowers teams to build better IoT products, faster. Its off-the-shelf solution is specifically designed for...
info_outline 490: Wait Until Physics Has HappenedEmbedded
Nikolaus Correll spoke with us about robots, teaching robotics, and writing books about robots. Nikolaus is a Professor of Computer Science at the University of Colorado, see his (or his ). We discussed Nikolaus’ (or ). These go along with his (which can be compiled from source ). Masters of Computer Science online via and . While the is no longer in production, Nikolaus also mentioned the . Nordic Semiconductor has been the driving force for Bluetooth Low Energy MCUs and wireless SoCs since the early 2010s, and they offer solutions for low-power Wi-Fi and global Cellular IoT as...
info_outline 489: Constructive CatEmbedded
Chris and Elecia discuss her origami art show, ponder PRs for solo developers, attempt to explain GDB debugging, and make a to-do list for getting rid of Kanga. Elecia is having an Origami Octopus Garden art show at the Aptos Public Library for the month of November, 2024. The postcard advertisement is below. There are more pictures on her Instagram (). The python tessellation generator is . Memfault’s Interrupt post is a much more considered explanation of GDB and includes pointers to other resources (including using Python with GDB). Memfault is a leading embedded device...
info_outline 488: Two Slices of Complimentary BreadEmbedded
Adrienne Braganza Tacke spoke with us about her book Looks Good To Me: Constructive Code Reviews. It is about how to make code reviews more useful, effective, and congenial. Adrienne’s book is available now as an or a paper copy later in the year (). Check out the example t from Appendix A. Adrienne’s personal website is .
info_outline 487: Focus on FizzingEmbedded
Chris and Elecia chat about simulated robots, portents in the sky, the futility of making plans, and grad school. A problem with mics led us to delay the show with Shimon Schoken from (co-author of Elements of ). Look for that later in the year. Elecia is playing with , a robotics physics simulator. Simpler than ROS’s Gazebo, it also can run in an online mode where you can run it on a browser, . Chris talked about processing his photos of Comet using and . Then we talked about grad school (including ). Tony sent in this insect detector: . If you want links like this or de...
info_outline 486: A Nice Rainbow DreamEmbedded
Antoine van Gelder spoke to us about making digital musical instruments, USB, and FPGAs. Antoine works for , specifically on the USB protocol analysis tool that can be used in conjunction with Python and to act as a new USB device. While bonding over was a given, Antoine also mentioned which Elecia countered with , the book that covers the NAND2Tetris material. Memfault is a leading embedded device observability platform that empowers teams to build better IoT products, faster. Its off-the-shelf solution is specifically designed for bandwidth-constrained devices, offering...
info_outline 485: Conversation Is a Kind of MusicEmbedded
Alan Blackwell spoke with us about the lurking dangers of large language models, the magical nature of artificial intelligence, and the future of interacting with computers. Alan is the author of which you can read in its pre-book form here: Alan’s day job is as a Professor of Interdisciplinary Design in the Cambridge University department of Computer Science and Technology. See his research interests on . (Also, given as homework in the newsletter, we didn’t directly discuss Jo Walton’s '', a playful history of automated text generation, written from a perspective in the...
info_outline 484: Collecting My Unhelpful BadgeEmbedded
Chris and Elecia talk to each other about setting aside memory in a linker file, printing using your debugger, looking around a new code base, pointers as optimization, choosing processors, skill trees and merit badges. Elecia’s talk and slides. STM32 Application Note includes semihosting. Memfault’s Interrupt blog has a good . Elecia and Steph’s . A far more detailed one pointed out by a listener: The most influential book Elecia has never read is . Memfault is a leading embedded device observability platform that empowers teams to build better...
info_outline 483: An Ion of the Highest FidelityEmbedded
Rick Altherr spoke with us about high-speed control, complicated systems, and making quantum computers. If you want to know more about building quantum computers, take a listen to Rick’s MacroFab episode: . If you want to make your own quantum circuit simulator, it only takes 27 lines of Python: . What about if you actually want to know about quantum computing? Rick suggests while we look back at Embedded.fm with Kitty Yeung, talking about her Quantum Computing Comic book and Hackaday lecture series. Rick works for where they do trapped-ion quantum computing (there are different...
info_outline 482: Reference the Same Dog ObjectEmbedded
Professor Colleen Lewis joined us to talk teaching pointers with stuffies, explaining inheritance through tigers, and computer science pedagogy. Check out her to view her videos explaining CS concepts with physical models. These are also collected on her website: . If you are an instructor (or thinking about teaching CS), check out Colleen’s . You may also be interested in some other research: John Edwards Study on Colleen is an Assistant Professor at University Illinois, Urbana-Champaign’s . You can find her papers on (including studies on teaching and learning). ...
info_outlineKwabena Agyeman joined Chris and Elecia to talk about optimization, cameras, machine learning, and vision systems.
Kwabena is the head of OpenMV (openmv.io), an open source and open hardware system that runs machine learning algorithms on vision data. It uses MicroPython as a development environment so getting started is easy.
Their github repositories are under github.com/openmv. You can find some of the SIMD details we talked about on the show:
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150% faster: openmv/src/omv/imlib/binary.c
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1000% faster: openmv/src/omv/imlib/filter.c
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Double Pumping: openmv/src/omv/modules/py_tv.c
Kwabena has been creating a spreadsheet of different algorithms in camera frames per second (FPS) for Arm processors: Performance Benchmarks - Google Sheets. As time moves on, it will grow. Note: this is a link on the OpenMV website under About. When M55 stuff hits the market expect 4-8x speed gains.
The OpenMV YouTube channel is also a good place to get more information about the system (and vision algorithms).
Kwabena spoke with us about (the beginnings of) OpenMV on Embedded 212: You Are in Seaworld.
Elecia is giving a free talk for O'Reilly to advertise her Making Embedded Systems, 2nd Edition book. The talk will be an introduction to embedded systems, geared towards software engineers who are suddenly holding a device and want to program it. The talk is May 23, 2024 at 9:00 AM PDT. Sign up here. A video will be available afterward for folks who sign up.