Creating true smart homes & appliances powered by edge AI

by Niels Verleysen | Dec 1, 2021 | FMCG & consumer, Product innovation, Webinars

[video_embed url=”https://youtu.be/AHruTdzXVP0″ embed_style=”default”]   Today’s smart home devices and appliances aren’t really smart, it’s the cloud that is smart. This limits the possibilities of your devices and creates privacy...

Machine learning as catalyst for learning robots

by Niels Verleysen | May 19, 2021 | Industry & chemistry, Perspectives, Product innovation

For decades, robots have been taking over repetitive tasks from humans. Thanks to recent progress in AI and specifically machine learning, the number of possible applications for robots is increasing significantly.   The robotics evolution Until recently, robots...

IoT data for air quality mapping

by Niels Verleysen | Sep 8, 2020 | Digital innovation, Industry & chemistry, Perspectives

Based on IoT, Big Data and Artificial Intelligence it’s possible to create a heat map of Volatile Organic Compounds, CO and particles matter pollution inside a chemical production plant. An agile system is needed to predict non-safe zones for i.e. pregnant and nursing...

The difference between machine & deep learning

by Niels Verleysen | Aug 12, 2020 | Perspectives, Product innovation

What’s the difference between Machine Learning & Deep Learning? And when to choose one or the other? More classical Machine Learning techniques often require feature engineering. This means that someone uses their knowledge to list relevant features in the data....

Federated learning: embedding privacy in the learning algorithm

by Niels Verleysen | Jun 9, 2020 | Perspectives, Product innovation

The future of global data protection regulations continues to be a subject of debate, however it can be expected that more tight regulations will face it with the uptake of AI and big data systems that has recently advanced faster than everybody thought due to the...