Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
the development of new algorithms for processing, analysis and inversion of active and passive seismic data and the application of these algorithms to field data. Student type Future Students Faculties and centres
-
Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include
-
through development of data and information science, advancing innovative computing paradigms and developing new contextual learning algorithms and methodologies that can transform society. SDSC will serve
-
pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute for Experiential AI is built around the
-
of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of
-
(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of
-
(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of
-
(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of
-
) at the Institute of Sensors, Signals, and Systems (ISSS) of Heriot-Watt University in Edinburgh. We seek outstanding self-motivated individuals developing world-leading research in either of the following areas
-
. Hiep Luong (Dept. of Telecommunications and Information Systems, FEA); Prof. Dr. Thomas Hermans (Dept. of Geology, FW) Project summary In this research, we develop and optimize geophysical survey