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Διακεκριμένες Διαλέξεις Τμήματος Επιστήμης Υπολογιστών ΠΚ - 'AI: Past, Present and Future', C. Mohan

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Abstract: Ever since the conduct of the historically famous 1956 Dartmouth Summer Workshop, which has come to be regarded as the birthplace of the field of Artificial Intelligence (AI), significant amount of progress has been made in AI with intermittent periods of intense activity. Topics of focus for research and development have varied over the last 6 decades. Unfortunately, during that time, many promises and disappointments have also been associated with AI. Developments in related areas of computer science (e.g., hardware and big data) have also been significantly responsible for the recent renewed momentum behind AI. As progress is made, while numerous benefits of AI are anticipated, many apprehensions have also arisen with respect to the societal impact of AI. Of late, there is also the widespread tendency to equate AI to just machine learning and that is incorrect!
In this talk, some of the historical AI developments are depicted and then focus on the current areas of investigations across academia and industry is done. Then, the remaining areas of exploration is briefly touched, for more positive outcomes to emerge from the adoption of AI technologies in major segments of society at large. Some of the ongoing work in IBM, is also discussed. Both software and hardware developments are covered. On-going AI work in Asia (e.g., China, India), Europe and USA concludes the discussion.
Even people outside of computer science will be able to appreciate this talk!
In this talk, some of the historical AI developments are depicted and then focus on the current areas of investigations across academia and industry is done. Then, the remaining areas of exploration is briefly touched, for more positive outcomes to emerge from the adoption of AI technologies in major segments of society at large. Some of the ongoing work in IBM, is also discussed. Both software and hardware developments are covered. On-going AI work in Asia (e.g., China, India), Europe and USA concludes the discussion.
Even people outside of computer science will be able to appreciate this talk!
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