AI for the food industry

AI for the food industry

AI for the food industry 16 February 2022, 19-22hSymposiumTOMRA Food Engineers TOMRA Food, a leading provider of sensor-based sorting solutions, would like to invite you to the first edition of its Artificial Intelligence symposium, which will be hosted online. After registration, you will receive a link to the online symposium.  Session I TOMRA & AI 19:00-19:45   TOMRA Food engineers and researchers across the globe will…

Artificiële Intelligentie & Data Engineering

Artificiële Intelligentie & Data Engineering

Artificiële Intelligentie & Data Engineering Academiejaar 2022-2023Microdegree, kortdurende diplomagerichte opleidingOdisee Hogeschool KortIn de maatschappij krijgen nagenoeg alle toepassingen met AI te maken. Als IT-er moet je continu kunnen inspelen op die technologische ontwikkeling en op de steeds luider klinkende vraag om intelligent met data aan de slag te gaan. Met dit korte microdegree maak jij…

Why Some Data Analytics Projects Succeed and Others Fail?

Why Some Data Analytics Projects Succeed and Others Fail?

Why Some Data Analytics Projects Succeed and Others Fail? 8 februari 2022, 17uwebinarIPCOS Insight in the technical and organizational factors for succes or failure. As part of the process industry’s digitalization wave, many data analytics programs have been launched. Some initiatives have been hugely successful and delivered on their promises. Others have faced difficulties realizing…

Kernel Machines for Dynamical Systems Modelling

Kernel Machines for Dynamical Systems Modelling

Kernel Machines for Dynamical Systems Modelling 21 april 2022, Leuven & onlineAI for Times Series seminarie, door Johan Suykens (KU Leuven ESAT/STADIUS)VAIA, Flanders AI Research & KU Leuven STADIUS abstract will follow shortly Johan Suykens Johan A.K. Suykens was born in Willebroek Belgium, May 18 1966. He received the master degree in Electro-Mechanical Engineering and…

Semi-Supervised Guided Deep Learning to Automatically Add Semantics to Time Series

Semi-Supervised Guided Deep Learning to Automatically Add Semantics to Time Series

Semi-Supervised Guided Deep Learning to Automatically Add Semantics to Time Series 24 maart 2022, Leuven & onlineAI for Times Series seminarie, door Peter Karsmakers (KU Leuven DTAI, Geel Campus)VAIA, Flanders AI Research & KU Leuven STADIUS A deep neural network model typically is learned solely from data in the form of input-output pairs, ignoring domain…

Multi-view Analysis of Temporal Data

Multi-view Analysis of Temporal Data

Multi-view Analysis of Temporal Data 10 maart 2022, Leuven & onlineAI for Times Series seminarie, door Elena Tsiporkova (Sirris)VAIA, Flanders AI Research & KU Leuven STADIUS Multi-view data analysis approaches are attracting more and more attention recently due to the increasing availability of multi-source data in real-world applications, e.g. continuous monitoring of the operation of…