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Five Princeton faculty receive prestigious early-career Sloan Research Fellowships

Princeton faculty members Ellora Derenoncourt, Boris Hanin, Chi Jin, Aleksandra Korolova and Ian Zemke are among 126 highly innovative early-career scientists awarded a Sloan Research Fellowship, the Alfred P. Sloan Foundation announced Tuesday.“Sloa

Canada , Ian-zemke , Ellora-derenoncourt , Adamf-falk , Boris-hanin , John-nash , Aleksandra-korolova , Chi-jin , Peter-schiffer , Princeton-university , Sloan-research-fellowship , Alfredp-sloan-foundation

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Princeton , New-jersey , United-states , Ellora-derenoncourt , Chi-jin , Aleksandra-korolova , Ian-zemke , Boris-hanin , Alfedp-sloan-foundation , Tnsres-princeton-university , Sloan-research-fellowship , Career-sloan-research-fellowships

Five Princeton faculty receive prestigious early-career Sloan Research Fellowships

Ellora Derenoncourt, Boris Hanin, Chi Jin, Aleksandra Korolova and Ian Zemke have been selected for the 2024 cohort of highly innovative early-career scientists.

Canada , Ellora-derenoncourt , John-nash , Chi-jin , Peter-schiffer , Boris-hanin , Ian-zemke , Adamf-falk , Aleksandra-korolova , Sloan-research-fellowships , Sloan-research-fellowship , Alfedp-sloan-foundation

AI researchers publish theory to explain how deep learning actually works

AI researchers publish theory to explain how deep learning actually works
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Cambridge , Cambridgeshire , United-kingdom , Andy-jassy , Dan-roberts , Michael-dell , Pat-gelsinger , Cambridge-university , Cube-club , Facebook-inc , Amazon-web-services , Massachusetts-institute-of-technology

New Algorithm Could Reduce Complexity Of Big Data

New Algorithm Could Reduce Complexity Of Big Data
Whenever a scientific experiment is conducted, the results are turned into numbers, often producing huge datasets. In order to reduce the size of the data, computer programmers use algorithms that can find and extract the principal features that represent the most salient statistical properties. But many such algorithms cannot be applied directly to these large volumes of data.
Reza Oftadeh, doctoral student in the Department of Computer Science and Engineering at Texas A&M University, advised by Dylan Shell, faculty in the department, developed an algorithm applicable to large datasets that can directly order features from most salient to least.

Texas , United-states , Jiayi-shen , Boris-hanin , Reza-oftadeh , Zhangyang-atlas-wang , Google , University-of-texas-at-austin , Department-of-computer-science , Texasam-university , International-conference-on-machine , Princeton-university