News

• 27/09/2019:
  Lecturer at the 2019 UPLINX Machine Learning School. Michael Barz presents research topics from our group, e.g., how interactive machine learning and eye tracking can be used to support dementia patients in everyday life.
• 28/05/2019:
  Invited Speaker at the 12th Annual International Conference on Systems Biology of Human Disease - SBHD 2019, May 27-29 in Berlin. Daniel Sonntag, Title: "Interactive Machine Learning in Medicine: Potentials and Limitations"
• 23/05/2019:
  

  AOK Niedersachsen starts "health frequencies" - the purpose of this information series is to provide up-to-date information about artificial intelligence and digitalisation in healthcare.

  
  

  Daniel Sonntag (DFKI), Alena Buyx (TUM), Jürgen Peter (AOK)

  
• 09/05/2019:
  Interakt: DFKI presents a Multimodal Speech-based Dialogue for the Mini-Mental State Examination at the CHI 2019 conference in Glasgow.
• 06/05/2019:
  Daniel Sonntag gives keynote at the The Federal Ministry of Health (BMG) workshop on AI in Healthcare, Künstliche Intelligenz in der Medizin – Holzweg oder Heilversprechen? (in German, Artificial intelligence in medicine—the wrong track or promise of cure?)
• 09/04/2019:
  Daniel Sonntag is Invited Speaker at the EIT Digital (H2020) MACHINE LEARNING IN HEALTHCARE - FROM LAB TO MARKET (BERLIN) Enhancing healthcare applications with Deep Learning predictive power from early detection to recovery
• 20/03/2019:
  Focus Online publishes Interview with German AI and oncology specialists, with Daniel Sonntag, amongst others (in German):
  Dr. Algorithmus: Wie künstliche Intelligenz Krebspatienten helfen kann (How can AI help cancer patients?)
• 15/03/2019:
  Springer NYC / Heidelberg provide links to the KI Journal video campaign.
  KI – Künstliche Intelligenz / Artificial Intelligence Journal: Submitting Your Manuscript
  KI – Künstliche Intelligenz / Artificial Intelligence Journal: Types of Papers
  KI – Künstliche Intelligenz / Artificial Intelligence Journal: About the Journal
• 14/03/2019:
  Daniel Sonntag, Invited talk at Oxford University, at the Oxford Robotics Institute about interactive machine learning in human-robot Interaction (HRI).
• 08/03/2019:
  Skincare: The Skincare project now uses the open-source architecture from the KDI project. The architecture has been published in the AI for Medicine Journal (ELSEVIER) and can be downloaded for free here.
• 07/02/2019:
  Skincare: Kick-off of the Skincare Project (H2020, EIT Digital) at Degetel in Paris. In Skincare, we develop a mobile application for patients and health professionals in the context of skin cancer diagnosis and treatment.
• 15/11/2018:
  The German Federal Government (Bundesregierung) releases the National AI strategy (in German) with additional input from the experts appointed by the Federal Ministry of Health. Also see AI in medicine and the German AI strategy.
• 08/11/2018:
  800 scientists, clinicians, academics, young professionals, policy makers and representatives of the healthcare industry came together to discuss and shape the Future of Medicine. Watch the presentation in session 3, Artificial Intelligence in Medicine. See also iml.dfki.de.
  
• 01/11/2018:
  The Handbook of Multimodal-Multisensor Interfaces: Signal Processing Architectures, and Detection of Emotion and Cognition. Volume 2 EDITORS: Oviatt, Sharon; Schuller, Bjorn; Cohen, Philip R; Sonntag, Daniel; Potamianos, Gerasimos; Krueger, Antonio PUBLISHER: Order link at Morgan and Claypool /ACM entry. This is a THREE volume series that presents the definitive state of the art and future directions of the field of Multimodal and Multi-Sensor interfaces.
  
• 01/09/2018:
  The German Medical Professional Association (Hartmannbund) publishes a short article from Daniel Sonntag about AI in medicine and the German AI strategy (page 16, in German). Part of the article and the strategy will be presented at the Digital-Gipfel.
• 17/06/2018:
  Interakt: Barz et al. win best paper award of the prestigious Symposium on Eye Tracking Research and Applications (ETRA). The technology for robust mobile gaze interaction is used in patients' behaviour analysis.