i_mBODY Lab

Interactive Multisensory Body-centred Experiences
at the Intersection of Neuroscience & Technology


Talk: Advances in Machine Learning: Multidisciplinary Applications

Postdoctoral Researcher Mohammad Mahdi Dehshibi presented a talk entitled “Exploring Advances in Machine Learning and their Multidisciplinary Applications” at the Grupo Interdisciplinar de Sistemas Complejos (GISC) Seminar Series in the Department of Mathematics of Universidad Carlos III de Madrid.

The talk consisted of an overview of the latest development in machine learning techniques and of real-world examples of machine learning in action, including Affective Computing as well as Medicine, Physiological Signals Analysis, and Citizen Science. Additionally, it conveyed the importance of developing explainable AI methods. Finally, the talk covered a taste of Unconventional Computing, specifically regarding biological intelligent sensors and neuromorphic Computing.