Artificial Intelligence for IoT and Process Optimization


Deep Learning can bring some advantages to Model Predictive Control (MPC) in process optimization including the ability to learn process complexity such as delays, the flexibility in model construction, the modularity in solution building and the scalability with large datasets. Top Data Science has experience in successfully applying AI for process optimization in a wide range of industries such as enzyme production, fermentation processes, biofuel production processes, drug manufacturing processes or pulp bleaching processes.

Read more by downloading our latest whitepaper. You can register and download it here

Top Data Science: 2021 Summer AI Hackathon

Top Data Science: 2021 Summer AI Hackathon

Like in many years before, in 2021 Top Data Science offered multiple internship opportunities for machine learning and computer science university students. This year we employed 4 interns from the spring to end of the summer season. In this blog post we will present...

What you may love to read