Artificial Intelligence and Machine Learning at ASE
Artificial Intelligence and Machine Learning at ASE

Saturday 1st of April 2017 10:30 AM
ASE - Faculty of Cybernetics, room 2305
Dan Cautiș

About the event

The storytelling roots of Artificial Intelligence come from the Greek antiquity, but it went from fiction to plausible reality only in the past century. This course will provide you with a wide range of knowledge in the field. It will be focused on scientific and engineering problems and algorithms, covering also some general philosophical aspects of AI.

The event took place at the Faculty of Cybernetics (ASE) on the 1st, 2nd, 8th and 9th of April, starting 10:30am each day. It was 2 hours long and it was followed by a hands-on course for students.

Dan Cautis Bio

Dan Cautis is Associate Vice President at Georgetown University.  Prior to Georgetown he has been a senior executive at companies like Maxtor, Seagate, Maxoptix, Western Digital, Lawrence Livermore National Lab.

For many decades Dan has taught curriculum university and postgraduate courses in electrical engineering (at the University of California at Berkeley, and from 1970 to 1980 at the Polytechnic University in Bucharest, Romania) and numerous non-curriculum liberal studies courses and seminars in history of sciences and religion-science relationship. He is the author of two patents, and has published more than ten papers in the field of electrical engineering/control systems.

His main interests are in the ongoing debates about the scientific-religious interpretations of the fabric of the universe in light of the newest quantum mechanics and cosmological discoveries and theories (Big Bang and inflationary cosmology, multiverses, standard model and string theory); he also interested in the future of human race given accelerated scientific and technological developments produced by the predicted Technological Singularity and the rapid advances in the availability of new computer technology leading to Artificial Intelligence (AI) and eventually to Artificial Super Intelligence (ASI).

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