janjongboom

9 ms·

31.
by janjongboom 4y ago
Go to https://archive.ph/ and paste in the original URL.
32.
by janjongboom 4y ago
Reposting an analysis I did 6 months ago, where their numbers did not make any sense to me compared to any other LoRaWAN deployment; and probably impossible - bound by physics - to ever generate enough revenue to pay their gateway operators
33.
by janjongboom 5y ago
The math for Helium just does not make any sense. Looking at forum threads every gateway makes about $50 in rewards / month. That's $294,000,000 per year in rewards paid out to gateway owners. Sending one packet costs $.00001 (100
34.
Edge Impulse wants to bring machine learning at the edge to everyone, raise $34M(zdnet.com)
1 points by janjongboom 5y ago|0 comments
35.
Edge Impulse raises 34M$ Series B to bring ML to embedded devices(edgeimpulse.com)
1 points by janjongboom 5y ago|0 comments
36.
by janjongboom 5y ago
Edge Impulse | Infrastructure, embedded and frontend | Fulltime | REMOTE (US/EU only) Edge Impulse makes embedded devices understand the real world. We build software that lets engineers use machine learning to analyse sensor data in r
37.
Eon Tuner: AutoML for constrained devices that also does DSP(edgeimpulse.com)
2 points by janjongboom 5y ago|0 comments
38.
Edge Impulse raises $15m Series A(edgeimpulse.com)
2 points by janjongboom 5y ago|0 comments
39.
by janjongboom 6y ago
I'd suggest to get rid of the custom mouse pointer on your site, it's pretty annoying to have it lagging behind actual movement.
40.
by janjongboom 6y ago
Edge Impulse | Full-stack Web Engineer | Full-time | Remote (US/Europe only) | https://edgeimpulse.com Are you excited about bringing true intelligence to the smallest of devices? Edge Impulse lets embedded developers use s
41.
Build a keyword spotting model with your own voice and keyword in 30K RAM(edgeimpulse.com)
1 points by janjongboom 6y ago|0 comments
42.
by janjongboom 6y ago
The Oculust Quest 2 is my first VR headset, and it can cast to the TV. That helps tremendously with the social aspect, rest of the room can see what you're doing and give feedback. In addition we've been playing Eleven - a table t
43.
by janjongboom 6y ago
Edge Impulse | Infrastructure Engineer | Remote (US/Europe only) | Full-time | https://docs.edgeimpulse.com/page/ml-infrastructure-engineer At Edge Impulse we add real intelligence to tiny devices by letting our u
44.
Build a keyword spotting model with your own voice in 30K RAM(youtube.com)
2 points by janjongboom 6y ago|0 comments
45.
Apple M1 MacBook Air 2x faster at compiling Rust than Intel i9 MBP(twitter.com)
3 points by janjongboom 6y ago|3 comments
46.
by janjongboom 6y ago
Sidely related: using machine learning to detect different types of booze with a gas sensor: https://twitter.com/kartben/status/1258791793073815552
47.
by janjongboom 6y ago
FYI, this runs a realtime custom keyword spotting model in 31K of RAM and 47K of ROM (including all DSP code and Neural Network) on the updated micro:bit three times a second. We can do a lot these days on embedded devices!
48.
Machine Learning on the new micro:bit(youtube.com)
3 points by janjongboom 6y ago|1 comments
49.
by janjongboom 6y ago
Thanks! We got approached by some of the people in micro:bit to see if we could get this to work on short notice, and they sent some samples out last week!
50.
by janjongboom 6y ago
Amazing new little device, and with it's much more powerful MCU (nRF52-series Cortex-M4 rather than the nRF51 Cortex-M0+) with 8x the RAM you can now even run small Machine Learning algorithms on it. Here it's responding to my voi
51.
Computer vision on microcontrollers with ~100 photos with transfer learning(edgeimpulse.com)
1 points by janjongboom 6y ago|1 comments
52.
by janjongboom 6y ago
Edge Impulse | Fullstack Web Developer | Amsterdam, San Jose, REMOTE | Full-time Edge Impulse enables developers to create the next generation of intelligent device solutions with embedded Machine Learning. Machine Learning at the very edge
53.
Ethical ML and Culture Are More Important Than Ever(edgeimpulse.com)
1 points by janjongboom 6y ago|0 comments
54.
Deep Learning on Arduino(blog.arduino.cc)
3 points by janjongboom 6y ago|0 comments
55.
Audio-based Shower Timer with Machine Learning and WebAssembly(edgeimpulse.com)
1 points by janjongboom 6y ago|0 comments
56.
Make deep learning models fast on embedded hardware(edgeimpulse.com)
1 points by janjongboom 6y ago|0 comments
57.
by janjongboom 7y ago
I really like my Autonomous chair ( https://www.autonomous.ai/office-chairs/ergonomic-chair ) - prefer it over Aeron and decently priced at under 400$.
58.
by janjongboom 7y ago
Edge Impulse ( https://edgeimpulse.com ) | Technical marketeer | REMOTE (North America or Europe) Edge Impulse enables developers to build the next generation of intelligent devices with embedded machine learning (also known as Ti
59.
by janjongboom 7y ago
Author here. Our main focus right now is on vibration and non-voice audio. For vibration we use spectral analysis through butterworth filters, FFT over the result, looking at the peaks and locations of the FFT result, and then at spectral p
60.
Signal processing is key to embedded machine learning(edgeimpulse.com)
104 points by janjongboom 7y ago|32 comments

More ›