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Research Topics

Machine Learning & Deep Learning

Machine learning systems act independently and give recommendations based on learned knowledge from large amounts of data. When deep neural networks are used in machine learning, this is referred to as deep learning. The basis for such CPU-intensive methods is the combination of special algorithms, a powerful infrastructure and training data.

Projects

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  1. SUITE - Intelligent, adaptive assistance services based on smart meters and building automation data

    SUITE tests concepts of machine learning and multi-agent technology in Smart Home.

    On the basis of smart meter data, intelligent audio systems, selected smart home sensors and building automation…

  2. VIZTA - Vision, Identification, with Z-sensing Technologies and key Applications

    VIZTA project, coordinated by ST Micrelectronics, aims at developing innovative technologies in the field of optical sensors and laser sources for short to long-range 3D-imaging and to demonstrate…

  3. Agri-Gain - Agrarwirtschaftlicher Gateway für Künstliche Intelligenz

    Ziel von Agri-Gain ist es, der deutschen Agrar- und Ernährungswirtschaft den Einsatz von KI-Technologie zu ermöglichen. Die Vision ist eine Plattform, die KI-Bausteine bereits im Anwendungskontext zur…

  4. ForeSight - Platform for Context-sensitive, Intelligent and Predictive Smart Living Services

    The ForeSight project idea emerged from the Smart Living business initiative. The aim of the project is to make a significant contribution to the further development of smart buildings and apartments…

  5. KI-Mobil - AI for Mobility, Logistic and Energy

    The goal of KI-mobil is the realization of an AI-supported software platform for disruptive, resource-saving and high-performance mobility concepts, which intelligently combines individual and public…