Starmus VII
Roeland has received a Master degree in Mathematics from the University of Utrecht (The Netherlands). Plumerai is making deep learning tiny and radically more efficient to enable inference on small, cheap and low-power hardware.
This makes it possible to embed intelligent, battery-powered sensors everywhere and create a future where we know more things faster. Their echnology powers camera doorbells, security cameras, smart buildings, and makes it possible to embed intelligent, battery-powered sensors everywhere. Plumeral research has been published at top conferences (NeurIPS, MLSys) and we are backed by world-class investors. They are able to unlock huge value on the edge by using the most efficient form of deep learning: Binarized Neural Networks (BNNs). They combine our highly-optimized inference software with our collection of BNN models, trained on our proprietary datasets. They provide a turnkey solution for person detection on off-the-shelf Arm Cortex-M and Arm Cortex-A chips and we will be using our technology for speech recognition, hand gesture recognition, gaze detection and pose estimation.
