ВТОРНИК, 8 ОКТЯБРЯ 2019. 16.45
OCTOBER 8, 2019. Tuesday, 4.45 p.m.
Skolkovo Institute of Science and Technology

СКОЛКОВСКИЙ ИНСТИТУТ НАУКИ И ТЕХНОЛОГИЙ, NEW CAMPUS, E-R2-B4-2019


Lecture by Prof. Tonio Ball

"Artificial Intelligence (AI) Systems - How they work and applications for mental health"
CNBR_Open Events
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Maybe we live at the dawn of the time of true artificial intelligence (AI).

In this talk, I will give an overview of the technology that is driving the current AI revolution: Deep Learning with artificial neural networks, a variant of machine learning that takes its inspiration from the structure and function of nervous systems.

I will outline key differences between the deep learning paradigm compared to traditional machine learning approaches. Deep learning has been hugely successful in computer vision and natural language processing.

In the second part of the talk, I will describe our own works on how deep learning can be adapted for the analysis of brain signals, our recent insights how brain signals are internally represented in deep artificial networks – i.e., how human brain activity looks "through the eyes" of artificial neural networks.

I will give examples how the convergence of deep learning and advanced neurotechnology, including neuromorphic computing, can help in healthcare, for example by diagnostic or robotic assistive devices for a wide range of patients.


Prof. Tonio Ball
for CNBR_Open Event
To registration
About Speaker
Tonio Ball
Professor at the University Medical Center of the University of Freiburg.
He recieved his MD and founded Neuromedical AI Lab, which he is currently leading.
He is
- a visiting professor at King's College, London,
- a senior visiting scientist at Riken CBS, Saitama, Japan
- a founding PI of the Bernstein Center Freiburg
- a founding director of the new Center for Inteligent Machine Brain Interfacing Technology (IMBIT), Freiburg

His primary research interests explore the translational potential of novel technologies for clinical applications in the context of neurosurgery and neurology, including brain implant development, brain-computer interfacing with intracranial and non-invasive signals, and in particular the application of deep learning to the analysis of neurophysiological recordings.

He has worked on the motor, language, and auditory system, with a special interest in naturalistic, "real world" conditions – as these are the conditions under which neurotechnology should eventually work.
16:45 - 18:15
Organiser
CNBR_Open
sharing the knowledge with those who are interested
8th of October, 16.45 | SKOLTECH. BIG CAMPUS. E-R2-B4-2019
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Skolkovo Institute of Science and Technology

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