AI Pet Door Rejects Dead Mice
If you have pet with a little access door to the outside world, and that pet happens to be a cat, you’re likely on the receiving end of all kinds …read more Continue reading AI Pet Door Rejects Dead Mice
Collaborate Disseminate
If you have pet with a little access door to the outside world, and that pet happens to be a cat, you’re likely on the receiving end of all kinds …read more Continue reading AI Pet Door Rejects Dead Mice
We’ve seen a lot of AI tools lately, and, of course, we know they aren’t really smart, but they sure fool people into thinking they are actually intelligent. Of course, …read more Continue reading Can Google’s New AI Read Your Datasheets for You?
How AI innovation is powered by underpaid workers in foreign countries. Continue reading AI Isn’t Artificial or Intelligent
We don’t fully understand the appeal of asking an AI for a picture of a gorilla eating a waffle while wearing headphones. However, [Micael Widell] shows something in a recent …read more Continue reading AI Image Generation Sharpens Your Bad Photos and Kills Photography?
[8BitsAndAByte] found herself obsessively labeling items around her house, and, like the rest of the world, wanted to see what simple, routine tasks could be made unnecessarily complicated by using …read more Continue reading A Label Maker That Uses AI Really Poorly
Robotics projects are always a favorite for hackers. Being able to almost literally bring your project to life evokes a special kind of joy that really drives our wildest imaginations. We imagine this is one of the inspirations for the boom in interactive technologies that are flooding the market these …read more
Pitching a baseball is about accuracy and speed. A swift ball on target is the goal, allowing the pitcher to strike out the batter. [Nick Bild] created an AI system that can determine a ball’s trajectory in mid-flight, based on a camera feed.
The system uses an NVIDIA Jetson AGX …read more
Continue reading AI Knows If The Pitch Is On Target Before You Do
Finding a good apartment is a lot of work and includes searching websites for available places and then cross-referencing with a list of characteristics. This can take hours, days or even months but in a world where cars drive themselves, it is possible to use machine learning in your hunt. …read more
I’ve always been fascinated by AI and machine learning. Google TensorFlow offers tutorials and has been on my ‘to-learn’ list since it was first released, although I always seem to neglect it in favor of the shiniest new embedded platform.
Last July, I took note when Intel released the Neural Compute Stick. It looked like an oversized USB stick, and acted as an accelerator for local AI applications, especially machine vision. I thought it was a pretty neat idea: it allowed me to test out AI applications on embedded systems at a power cost of about 1W. It requires pre-trained …read more
Continue reading AI on Raspberry Pi with the Intel Neural Compute Stick
One of the difficulties in learning about neural networks is finding a problem that is complex enough to be instructive but not so complex as to impede learning. [ThomasNield] had an idea: Create a neural network to learn if you should put a light or dark font on a particular colored background. He has a great video explaining it all (see below) and code in Kotlin.
[Thomas] is very interested in optimization, so his approach is very much based on mathematics and algorithms of optimization. One thing that’s handy is that there is already an algorithm for making this determination. …read more
Continue reading Jump into AI with a Neural Network of your Own