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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 , Chemistry Physics Materials Sciences , Polymer Chemistry , Computer Theory , Technology Engineering Computer Science , Biomedical Environmental Chemical Engineering , Molecular Physics , பல்கலைக்கழகம் ஆஃப் ஹாம்பர்க் , வேதியியல் இயற்பியல் பொருட்கள் அறிவியல் ,

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 , Japan Advanced Institute , Professor Hiroyuki Iida , Mohd Nor Akmal Khalid , Chinese Chess , Bridging The Gap Between Search , Heuristic Theories , Game Tree Search , Tokyo University , Vice President , Algorithms Models , Computer Theory , Technology Engineering Computer Science , Theory Design , Robotry Artificial Intelligence , ஹீரோயுக்கி ஈட , மாணவர் வாழ்க்கைத்தொழில்கள் , ப்ரொஃபெஸர் ஹீரோயுக்கி ஈட , சீன சதுரங்கம் , விளையாட்டு மரம் தேடல் , டோக்கியோ பல்கலைக்கழகம் ,

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

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IMAGE: Equilibrium manifolds of learning agents in two famous games, Stag Hunt and Battle of the Sexes.
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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 (exploration) and repeatedly selecting actions that result in the current maximum reward or (exploitation).
However, the outcome of the exploration-exploitation process is often unpredictable in practice and the reasons behind its volatile performance have been a long-standing open question in the ML and AI communities. ....

Georgios Piliouras , Stefanos Leonardos , Singapore University Of Technology , Machine Learning , Artificial Intelligence , Assistant Professor Georgios Piliouras , Singapore University , Catastrophe Theory , Multi Agent Learning , Catastrophe Theory Meets Game , Best Paper Award , Mathematics Statistics , Theoretical Sciences , Computer Theory , Technology Engineering Computer Science , Theory Design , Research Development , Robotry Artificial Intelligence , சிங்கப்பூர் பல்கலைக்கழகம் ஆஃப் தொழில்நுட்பம் , இயந்திரம் கற்றல் , செயற்கை உளவுத்துறை , சிங்கப்பூர் பல்கலைக்கழகம் , பேரழிவு கோட்பாடு , பேரழிவு கோட்பாடு சந்திக்கிறது விளையாட்டு , சிறந்தது காகிதம் விருது , கணிதம் புள்ளிவிவரங்கள் ,

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

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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 organizations work that will include the creation of open source tools for assessing and correcting biases.
Human decisions and algorithmic decisions have potential for systematic biases that may lead to poor downstream outcomes such as disparities and inequity across racial, gender, and socioeconomic lines, said Neill, a professor at NYU s Wagner Graduate School of Public Service and the Center for Urban Science and Progress (CUSP) at NYU s Tandon School of Engineering. What we want t ....

Danielb Neill , Constantine Kontokosta , Ravi Shroff , Human Development , Wagner Graduate School Of Public Service , Courant Institute Of Mathematical Sciences , Steinhardt School Of Culture , National Science Foundation , Good Laboratory , Marron Institute Of Urban Management , Tandon School Of Engineering , University Of Minnesota Carlson School Management , York University , New York University , Computer Science Professor Daniel , Artificial Intelligence , Graduate School , Public Service , Urban Science , Urban Management , Edward Mcfowland , Carlson School , Grants Funding , Algorithms Models , Policy Ethics , Computer Theory ,