Future computer programs will contain a growing part of 'intelligent' software modules that are not conventionally programmed, but that are learned either from data provided by the user or from data that the program autonomously collects during its use.
In this spirit, the Machine Learning Lab deals with research on Machine Learning techniques and the integration of learning modules into larger software systems, aiming at their effective application in complex real-world problems. Application areas are robotics, control, forecasting and disposition systems, scheduling and related fields.
Research Areas: Efficient Reinforcement Learning Algorithms, Intelligent Robot Control Architectures, Learning in Multiagent Systems, (Un-)Supervised Learning, Deep Learning, Autonomous Robots, Industrial Applications, Clinical Applications
52. Jahrestagung DGfE im World Conference Center Bonn
Auf der 52. Jahrestagung der Deutschen Gesellschaft für Epileptologie hatte das Machine Learning Lab die Gelegenheit, seine Arbeit in einer ganz besonderen Umgebung zu präsentieren. Im World Conference Center Bonn - dem ehmaligen Bundestagsgebäude - stellte Manuel Blum die aktuellen Ergebnisse des BrainLinks-BrainTools Projektes “Early Seizure Detection” einem medizinischen Fachpublikum vor.
System Design Project Competition
System Design Project Competition 14.2.2014
The annual final competition of the System Design Project will take place this Monday, February 17. First year students will compete with LEGO robots developed over the past semester to finish an unknown course as quickly as possible. This year, a livestream will be available as well, which you can watch here.
Durovis Dive and Spin-Off List
Durovis Dive launched and Spin-Off List 18.12.2013
With the release of the smartphone-targeted virtual reality glasses Durovis Dive (http://www.durovis.com/dive.html), another former group member has successfully launched a spin-off business. We congratulate Stefan and use this opportunity to introduce a new section of our website where we introduce other start-ups originating in the Machine Learning Lab.