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Better understanding membranes

A new class of membranes promises highly interesting applications in material separation, whether in biotechnology or water purification. The theoretical understanding of these polymer membranes is, however, still incomplete. Two researchers from Helmholtz-Zentrum Hereon and the University of Göttingen now present a study, published in the renowned science journal Chemical Reviews, that identifies these gaps in knowledge and shows promising approaches toward solving them.
Volker Abetz Hereon Institute Of Membrane Research University Of Hamburg Helmholtz Zentrum Hereon Hereon Institute Membrane Research

Games, computing, and the mind: How search algorithms reflect game playing

The ways in which we approach games reveal much about the inner working of our mind and serve a testbed for researching artificial intelligence and computing algorithms. In a recent study, scientists at JAIST applied novel search indicators in search tree algorithms and used them for solving turn-based games such as Checkers and Connect 4, while also exploring the relationship with subjective playing experiences. Their results help bridge the notions of computing and game playing.
Anggina Primanita Hiroyuki Iida Akmal Khalid Student Affairs Tokyo University Of Agriculture Japan Advanced Institute Of Science

SUTD wins best paper at 35th AAAI conference on Artificial Intelligence 2021

 E-Mail IMAGE: Equilibrium manifolds of learning agents in two famous games, Stag Hunt and Battle of the Sexes. view more  Credit: SUTD Game theory is known to be a useful tool in the study of Machine Learning (ML) and Artificial Intelligence (AI) Multi-Agent interactions. One basic component of these ML and AI systems is the exploration-exploitation trade-off, a fundamental dilemma between taking a risk with new actions in the quest for more information about the environment (explor...
Georgios Piliouras Stefanos Leonardos Singapore University Of Technology Machine Learning Artificial Intelligence Assistant Professor Georgios Piliouras

NSF/Amazon grant supports research at NYU to help cities detect biases in algorithmically

 E-Mail A team of researchers at New York University will develop new methods and tools aimed at minimizing systemic biases and producing more equitable public policy impacts on such areas as city housing inspections, policing, and courts. Under a $1 million grant from the National Science Foundation (NSF) and Amazon, Computer Science Professor Daniel B. Neill will lead the three-year research project centered on the growing use of Artificial Intelligence (AI) by urban public sector organizati...
Danielb Neill Constantine Kontokosta Ravi Shroff Human Development Wagner Graduate School Of Public Service Courant Institute Of Mathematical Sciences

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