Reality AI named “Tech Innovator in Edge AI” for 2020 by Gartner
In a new report on emerging technologies, the technology research and advisory company, Gartner named Reality AI as one of twelve “Edge AI Tech Innovators for 2020.”
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Reality AI Wins 2020 Future Mobility Award in “AI for Safety” Category
In a ceremony held both virtually and in-person, Reality AI was recognized with the 2020 Future Mobility Award in the “AI for Safety” category.
Reality AI Announces Partnership with ARM for Machine Learning on Low-Cost Microcontrollers
Reality AI, a provider of AI-enabled software for R&D engineers building products with sensors, today announced that it has joined the Arm AI Partner Program.
Want to Reduce the Cost of Data Collection for Edge AI with Sensors? Only do it once.
If you have ever attempted or completed a machine learning project using sensor data, you probably know already that data collection and preparation is both the most costly part of the project and also the place where you are most likely to go off track.
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 for all sorts of things.
Comprehensive AI Engineering Software for Making Smart Edge Devices with Sensors
Welcome to Reality AI 4.0!
New Software from Reality AI for Engineers Building Products with Sensors
Reality AI today announced the latest version of its groundbreaking software for research and development engineers building products with sensors. Reality AI Tools® version 4.0 will allow customers to use artificial intelligence to reduce the cost of developing, procuring and manufacturing smart devices.
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
Bias Isn’t Always Bad
“Facts are stubborn things. But statistics are pliable” -Mark Twain This blog is about statistical bias in machine learning models. But unlike most of what
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.
Rich Data, Poor Data: Getting the most out of sensors
Accelerometers and vibration sensors are having their day. As prices have come down drastically, we are seeing more and more companies instrumenting all kinds of devices and equipment. Industrial, automotive and consumer products use cases are proliferating almost as fast as startups with “AI” in their names.
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 dollar of VC investment ever again.