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Related papers: Remembering Chandra Kintala

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We review the history of the development of the Chandra X-ray Observatory from our personal perspective. This review is necessarily biased and limited by space since it attempts to cover a time span approaching 5 decades.

Instrumentation and Methods for Astrophysics · Physics 2015-05-18 Martin C. Weisskopf

Processing in Memory (PIM) and similar terms such as Compute In Memory (CIM), Logic in Memory (LIM), In Memory Computing (IMC), and Near Memory Computing (NMC) have gained attention recently as a potentially ``revolutionary new'' technique.…

Hardware Architecture · Computer Science 2026-01-15 Peter M. Kogge

The last few years have seen an explosion of academic and popular interest in algorithmic fairness. Despite this interest and the volume and velocity of work that has been produced recently, the fundamental science of fairness in machine…

Machine Learning · Computer Science 2018-10-23 Alexandra Chouldechova , Aaron Roth

Methods based on machine learning have recently made substantial inroads in many corners of cosmology. Through this process, new computational tools, new perspectives on data collection, model development, analysis, and discovery, as well…

In the article we give an appreciation of Edward Nelson's multifaceted contribution to mathematics, and particularly to foundational theories of infinitesimals.

History and Overview · Mathematics 2015-06-05 Mikhail G. Katz , Semen S. Kutateladze

William P. Bidelman--Editor of Publications of the Astronomical Society of the Pacific from 1956 to 1961--passed away on 2011 May 3, at the age of 92. He was one of the last of the masters of visual stellar spectral classification and the…

Solar and Stellar Astrophysics · Physics 2016-12-07 Howard E. Bond

This article evaluates how creative uses of machine learning can address three adjacent terms: ambiguity, uncertainty and indeterminacy. Through the progression of these concepts it reflects on increasing ambitions for machine learning as a…

Computers and Society · Computer Science 2025-01-22 Tom Holberton

Approximate computing is a research area where we investigate a wide spectrum of techniques to trade off computation accuracy for better performance or energy consumption. In this work, we provide a general introduction to approximate…

Programming Languages · Computer Science 2017-12-12 M. Ammar Ben Khadra

We describe briefly the recent advances in understanding the distributed nature of computations in the (neural) network structure of the brain. We discuss if such artificial networks will be able to perform mathematics and natural sciences.…

Disordered Systems and Neural Networks · Physics 2007-05-23 Bikas K. Chakrabarti

This text analyses the papers accepted for the workshop "Reuse of designs: an interdisciplinary cognitive approach". Several dimensions and questions considered as important (by the authors and/or by us) are addressed: What about the…

Human-Computer Interaction · Computer Science 2007-05-23 Willemien Visser , Brigitte Trousse

The purpose of this article is to review the achievements made in the last few years towards the understanding of the reasons behind the success and subtleties of neural network-based machine learning. In the tradition of good old applied…

Machine Learning · Computer Science 2020-12-09 Weinan E , Chao Ma , Stephan Wojtowytsch , Lei Wu

This survey, aimed at information processing researchers, highlights intriguing but lesser known results, corrects misconceptions, and suggests research areas. Themes include: certainty in quantum algorithms; the "fewer worlds" theory of…

Quantum Physics · Physics 2007-05-23 Eleanor G. Rieffel

Machine Learning (ML) applications on healthcare can have a great impact on people's lives helping deliver better and timely treatment to those in need. At the same time, medical data is usually big and sparse requiring important…

Machine Learning · Computer Science 2018-12-27 Dianbo Liu , Nestor Sepulveda , Ming Zheng

This article provides an overview of the history, theoretical basis, and different implementations of quantum computers. In Fall 2018, four MIT faculty -- Isaac Chuang, Dirk Englund, Aram Harrow, and William Oliver -- at the forefront of…

Popular Physics · Physics 2020-02-28 Francisca Vasconcelos

This article is an extended version of a talk given in Oxford in June 2021 as part of an online meeting `Ninety minutes of CCC' to mark the 90th birthday of Sir Roger Penrose. I assemble some questions that I have been asked or have asked…

General Relativity and Quantum Cosmology · Physics 2022-02-23 Paul Tod

This essay explores the limits of Turing machines concerning the modeling of minds and suggests alternatives to go beyond those limits.

Artificial Intelligence · Computer Science 2011-10-14 Carlos Gershenson

Despite the high interest for Machine Learning (ML) in academia and industry, many issues related to the application of ML to real-life problems are yet to be addressed. Here we put forward one limitation which arises from a lack of…

Machine Learning · Computer Science 2019-11-07 Agathe Balayn , Alessandro Bozzon , Zoltan Szlavik

Quantum computing is a rapidly developing field in the second wave of quantum development, with the potential to revolutionize a wide range of industries and fields of study. As the capabilities of quantum computers continue to advance,…

Physics and Society · Physics 2023-03-10 Astrid Bötticher , Zeki C. Seskir , Johannes Ruhland

James Philip Elliott, one of the towering figures of nuclear physics of the second half of the twentieth century, died on the 21st of October 2008. Obituaries appeared in the British press but relatively little attention was paid by the…

History and Philosophy of Physics · Physics 2011-01-18 P. Van Isacker

Quantum Computing promises accelerated simulation of certain classes of problems, in particular in plasma physics. Given the nascent interest in applying quantum computing techniques to study plasma systems, a compendium of the relevant…

Plasma Physics · Physics 2023-02-02 Óscar Amaro , Diogo Cruz
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