Upcoming Webinar: “How We Built It: Cars Can See Around Corners with Sound” featuring Reality AI x Infineon Technologies
Join us for our first Reality AI webinar of the year as we show you how we built our latest demo, using all the features of Reality AI Tools. …
EMBEDDED AI AND MACHINE LEARNING ADDING NEW ADVANCEMENTS IN TECH SPACE
With current tools, integrating new options for machine learning for signals (like Reality AI) it is getting simpler. …
What’s the Difference Between a Project and a Product? Certainty and Scale.
Edge AI and TinyML are having a moment. The tech world has woken up to the fact that it is possible to put machine learning models on small, inexpensive microcontrollers, and GitHub is now full of examples of TinyML models …
How Do You Make AI Explainable? Start with the Explanation.
“No, no! The adventures first. Explanations take such a dreadful time!” – Lewis Carroll, “Alice in Wonderland Explanations for model behavior are starting to get attention in the AI community. Beginning with government and regulatory bodies, now venture capital is starting to find the topic interesting. It’s …
Reality AI demonstrates Edge AI solutions for real problems running on Cortex M4 and M7 platforms
Edge AI is finally starting to get the attention of the technical trade press. It’s been a real thing for a while - particularly in autonomous driving applications and wearables - but other applications are starting to get some attention too. …
FFTs and Stupid Deep Learning Tricks
Deep Learning has nearly taken over the machine learning world -- in large part due to its great success in using layers of neural networks to discover the features in underlying data that actually matter to other, higher-level layers of neural networks. …
Successful Data Collection for Machine Learning with Sensors
It’s R&D time. The product guys have dreamed up some new features, and now you have to see if its possible to deliver them. If it is possible, you’ll need to build it. …
It’s All About the Features
We’re an AI company, so people always ask about our algorithms. If we could get a dollar for every time we’re asked about which flavor of machine learning we use –convolutional neural nets, K-means, or whatever – we would never need another …
What’s wrong with my machine learning model?
At Reality AI, we make software that customers use to build machine learning models on sensor and signal data – and it usually works pretty well. …
5 tips for collecting Machine Learning data from high-sample-rate sensors
Machine learning on high-sample-rate sensor data is different. For a lot of reasons. The outcomes can be very powerful – just look at the proliferation of “smart” devices and the things they can do. But the process that creates the “smarts” is …