dansitu

6 ms·

31.
by dansitu 2y ago
It sounds like you're feeling stuck in a lot of ways, but you also feel motivated to be proactive in finding a solution. That's great! The best single thing you can do is to find a therapist. They're trained, experienced prof
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by dansitu 2y ago
That's definitely not our intention: the output of all Community projects is by default Apache 2.0 licensed, unless the developer specifies a different one. The community plan does have commercial use restrictions; it's designed f
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by dansitu 2y ago
We use C++11 because we depend on some source that relies on it, but you can of course compile the library and then link to a C program: https://docs.edgeimpulse.com/docs/run-inference/cpp-library/...
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by dansitu 2y ago
Thank you! We're trying to bring embedded ML in reach of all engineering teams and domain experts. Previously you needed a crazy mixture of ML knowledge and low-level embedded engineering skills even to get started, which is not a comm
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by dansitu 2y ago
If you're interested in this stuff and wanna try it yourself, check out our product, Edge Impulse: https://edgeimpulse.com/ai-practitioners We work directly with vendors to perform low level optimization of deep learni
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Reaching the Enchanted Forest(dansitu.substack.com)
18 points by dansitu 2y ago|11 comments
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by dansitu 2y ago
It's a great feeling to see a cool robotics project on the front page of Hacker News and realize they used your software ( http://edgeimpulse.com ) to train the machine learning component! Congratulations to the authors. Now
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by dansitu 3y ago
It's cool to hear from someone with experience! Do you know if anyone has tried building an arm that uses spatial positioning techniques from augmented reality, like structured light or pose tracking[1], to understand the position of t
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by dansitu 3y ago
If you find this field interesting, Know Labs is working on a non-invasive continuous glucose monitor using RF spectroscopy: https://www.knowlabs.co
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Glimpses of Tomorrow – Feb 2024(dansitu.substack.com)
1 points by dansitu 3y ago|0 comments
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Cat-Like Intelligence(dansitu.substack.com)
2 points by dansitu 3y ago|1 comments
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by dansitu 3y ago
Edge Impulse | Full-time | REMOTE | North America & Europe | https://jobs.lever.co/edge-impulse Edge Impulse is the enterprise platform for edge AI and TinyML; we make it easy to train and deploy machine learning for em
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by dansitu 3y ago
Thank you, I ran out of time to edit but have posted a reply with fixed links :)
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by dansitu 3y ago
Non-broken versions of the links: * Harvard TinyML course: https://www.edx.org/learn/machine-learning/harvard-universit... * Coursera intro to embedded ML: https://www.coursera.org/learn/intro
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by dansitu 3y ago
There are actually tons of chips that are great for this type of workload. You can run simple vision applications on any 32 bit MCU with ~256kb RAM and ROM. There's a list of MCUs here: https://docs.edgeimpulse.com/docs
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by dansitu 3y ago
I'm pretty stoked to see our field at the top of HN, I hope some folks who are reading this end up feeling the spark and getting involved!
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by dansitu 3y ago
It's mostly inference: typically on-device training is with classical ML, not deep learning, so no on-device backprop. For inference there's a whole spectrum of approaches that let you can trade off flexibility for performance. TF
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by dansitu 3y ago
It's great to see TinyML at the top of Hacker News, even if this is not the best resource (unsure how it got so many upvotes)! TinyML means running machine learning on low power embedded devices, like microcontrollers, with constrained
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AI interactions we'd like to see in the world(ideo.com)
1 points by dansitu 3y ago|0 comments
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Experiential Black Holes(dansitu.substack.com)
4 points by dansitu 3y ago|0 comments
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Furby is the future of AI(dansitu.substack.com)
3 points by dansitu 3y ago|0 comments