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.”
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, 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.
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.
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.
Welcome to Reality AI 4.0!
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.
“No, no! The adventures first. Explanations take such a dreadful time!” – Lewis Carroll, “Alice in Wonderland Explanations for model behavior are starting to get
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.
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.
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.
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.
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.