Dear colleague,
In
recent years, deep learning has made astounding progress in many
data-rich fields such as image analysis, speech recognition, automatic
translation, etc. Its more recent application to computational biology
has resulted in a plethora of highly accurate and sophisticated models
for the analysis of human biomedical data. However, despite the
excellent performance, deep learning behaves as a black-box and does not
provide any insight into how a decision is made. In this workshop, we
will explore recent developments in the field of Interpretable
Artificial Intelligence that enable to open the black-box and gain
biological new knowledge from complex data and models.
Participants of BIRS 5-day workshops are expected to arrive on Sunday
afternoon or evening and to depart Friday midday. Accommodation and
meals for this period are generously provided by Banff. Although we of
course encourage your physical participation, due to the current
sanitary situation, we might have the possibility of running a hybrid
workshop allowing for both on-site and virtual participation. Therefore,
in case you cannot attend physically, please, let us know if you would
be interested in attending virtually.
We still have a few open spots and would be delighted to meet you at Banff. To register, please, reply to this email with a short statement of interest and the link to your more relevant publications. Alternatively, you can also send your CV or link to your Google Scholar profile.
We would be grateful if you could forward this email to other colleagues who might be interested in participating. Junior
colleagues and members of traditionally historically communities are
especially welcome to participate.
Many thanks again for your continued interest and we are hoping to see you at Banff in 2022!
Maria Rodriguez Martinez
Joaquin Dopazo
Carlos Lucera
An-phi Nguyen