Collaborate Disseminate
When exploring the realm of Machine Learning, it’s always nice to have some real and interesting data to work with. That’s where the bats come in – they’re fascinating animals that emit very particular ultrasonic calls that can be recorded and analysed with computer software to get a fairly good …read more
Continue reading Training Bats in the Random Forest with the Confusion Matrix
In one of the cooler hacks we’ve seen recently, a bunch of hacking academics at the University of Michigan researched the ability to flicker a laser at audible sound frequencies to see if they could remotely operate microphones simply by shining a light on them. The results are outstanding.
While …read more
Continue reading Laser-Based Audio Injection on Voice-Controllable Systems
The last time we visited the Hackaday shooting range we were all psyched up to get the right posture, breathe correctly, lower our heart rates and squeeze the trigger at exactly the right moment that the wandering cross hairs align with the target ……. and lastly accommodate the inevitable recoil. …read more
Continue reading How Ammo Temperature Will Affect Shooting Accuracy
As somebody who loves technology and wildlife and also needs to develop an old farmhouse, going down the bat detector rabbit hole was a journey hard to resist. Bats are ideal animals for hackers to monitor as they emit ultrasonic frequencies from their mouths and noses to communicate with each …read more
Continue reading Worried About Bats in your Belfry? A Tale of Two Bat Detectors
Anybody interested in building their own robot, sending spacecraft to the moon, or launching inter-continental ballistic missiles should have at least some basic filter options in their toolkit, otherwise the robot will likely wobble about erratically and the missile will miss it’s target.
What is a filter anyway? In practical …read more
Last Thursday two lowly masters grad students, Aaron Gokaslan and Vanya Cohen managed to replicate the secretive OpenAI model and cheekily named their version OpenGPT-2. The code can be downloaded from this Google Colab page and apparently no prior experience in language modeling is required to use it. More useful …read more
Continue reading AI Poised to Turn the Internet into Gibberish
As the 2019 mushroom foraging season approaches it’s timely to combine my thirst for knowledge about low level machine learning (ML) with a popular pastime that we enjoy here where I live. Just for the record, I’m not an expert on ML, and I’m simply inviting readers to follow me …read more
Continue reading Build a Fungus Foraging App with Machine Learning
Robotics is hard, maybe not quite as difficult as astrophysics or understanding human relationships, but designing a competition winning bot from scratch was never going to be easy. Ok, so [Paul Bupe, Jr’s] robot, named ‘Goose’, did not quite win the competition, but we’re very interested to learn what golden …read more
Continue reading Designing An Advanced Autonomous Robot: Goose
Up until now, running any kind of computer vision system on the Raspberry Pi has been rather underwhelming, even with the addition of products such as the Movidius Neural Compute Stick. Looking to improve on the performance situation while still enjoying the benefits of the Raspberry Pi community, [Brandon] and …read more
Continue reading High Performance Stereo Computer Vision for the Raspberry Pi
We’d be entirely wrong to think that Fichertechnik is just a toy for kids. It’s also perfect for prototyping the control system of robots. [davidatfsg]’s recent entry in the Hackaday Prize, Delta Robot, shows how complex robotics can be implemented without the hardship of having to drill, cut, bolt together …read more
Continue reading Pick and Place Robot Built with Fischertechnik