Collaborate Disseminate
With the release of TensorFlow Lite at Google I/O 2019, the accessible machine learning library is no longer limited to applications with access to GPUs. You can now run machine learning algorithms on microcontrollers much more easily, improving on-board inference and computation.
[Brandon Satrom] published a demo on how to …read more
Continue reading How to run ML Applications on Particle Hardware
Watching a sport can be a bit odd if you aren’t familiar with it. Most Americans, for example, would think a cricket match looked funny because they don’t know the rules. If you were not familiar with baseball, you might wonder why one of the coaches was waving his hands …read more
Google open-sourced its TensorFlow machine learning framework back in 2015 and it quickly became one of the most popular platforms of its kind. Enterprises that wanted to use it, however, had to either work with third parties or do it themselves. To help these companies — and capture some of this lucrative market itself — […] Continue reading Google launches TensorFlow Enterprise with long-term support and managed services
A question: if you’re controlling the classic video game Street Fighter with gestures, aren’t you just, you know, street fighting?
That’s a question [Charlie Gerard] is going to have to tackle should her AI gesture-recognition controller experiments take off. [Charlie] put together the game controller to learn more about the …read more
Continue reading Arduino, Accelerometer, and TensorFlow Make You a Real-World Street Fighter
What’s in your crypto wallet? The simple answer should be fat stacks of Bitcoin or Ethereum and little more. But if you use a hardware cryptocurrency wallet, you may be carrying around a bit fat vulnerability, too.
At the 35C3 conference last year, [Thomas Roth], [Josh Datko], and [Dmitry Nedospasov] …read more
Continue reading Side-Channel Attack Shows Vulnerabilities of Cryptocurrency Wallets
Sorting trash into the right categories is pretty much a daily bother. Who hasn’t stood there in front of the two, three, five or more bins (depending on your area and country), pondering which bin it should go into? [Alvaro Ferrán Cifuentes]’s SeparAItor project is a proof of concept robot …read more
Continue reading Automate Sorting Your Trash With Some Healthy Machine Learning
Who wouldn’t want a robot that can fetch them a glass of water? [Saral Tayal] didn’t just think that, he jumped right in and built his own personal assistant robot. This isn’t just some remote-controlled rover though. The robot actually listens to his voice and recognizes his face.
The body …read more
Continue reading DIY Personal Assistant Robot Hears and Sees All
Google has promised us new hardware products for machine learning at the edge, and now it’s finally out. The thing you’re going to take away from this is that Google built a Raspberry Pi with machine learning. This is Google’s Coral, with an Edge TPU platform, a custom-made ASIC that …read more
Continue reading Google Launches AI Platform That Looks Remarkably Like A Raspberry Pi
TensorFlow is a popular machine learning package, that among other things, is particularly adept at image recognition. If you want to use a webcam to monitor cats on your lawn or alert you to visitors, TensorFlow can help you achieve this with a bunch of pre-baked libraries. [Eric] took a …read more
Continue reading PrintRite Uses TensorFlow To Avoid Printing Catastrophies
We salute hackers who make technology useful for people in emerging markets. Leigh Johnson joined that select group when she accepted the challenge to build portable machine vision units that work offline and can be deployed for under $100 each. For hardware, a Raspberry Pi with camera plus screen can …read more
Continue reading Leigh Johnson’s Guide To Machine Vision On Raspberry Pi