6 ways in which AI complements robotics
Robotics is one of the most interdisciplinary fields of the moment This blog post presents 6 subcomponents of robotics and their AI impact.
The ultimate roadmap for self-learning products
Did you ever wonder how some intelligent products are incredibly good at certain tasks? Then you’re at the right place. In this blog we’re diving into the world of continuous learning.
The failproof way to scope AI projects
Finding a possible application for AI or data science is just the start. How do you outline the goal of your AI project, make predictions, learn and evaluate it?
Hybrid AI, spreading AI between edge and cloud
How do you divide your hybrid AI model between edge and cloud? In this blog, you’ll find out why deep neural networks are the go-to solution.
A 4-step guide to choose between edge & cloud for smart home devices
Scouting AI opportunities can be a daunting task. In this blog we give a bird’s eye view of our proven process to uncover hidden AI potential.
8 steps to identify AI opportunities, even when you’re skeptical
Scouting AI opportunities can be a daunting task. In this blog we give a bird’s eye view of our proven process to uncover hidden AI potential.
Creating true smart homes & appliances powered by edge AI
In this webinar we discuss how edge AI can make smart home devices & appliances smart, instead of the cloud for more opportunities & privacy.
Machine learning as catalyst for learning robots
In robotics 3 key challenges are addressed with AI: perception, planning and navigation, and robot
control.
IoT data for air quality mapping
Using IoT, Big Data & AI to develop an agile system to predict non-safe zones for pregnant and nursing women in production plants.
The difference between machine & deep learning
And when to choose one or the other?