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2. Okt. 2023 · Data Science at the Singularity. David Donoho. A purported `AI Singularity' has been in the public eye recently. Mass media and US national political attention focused on `AI Doom' narratives hawked by social media influencers. The European Commission is announcing initiatives to forestall `AI Extinction'. In my opinion, `AI Singularity' is the ...
29. Jan. 2024 · ©2024 David Donoho. This article is licensed under a Creative Commons Attribution (CC BY 4.0) International license, except where otherwise indicated with respect to particular material included in the article.
David Donoho: When I left for college, my father suggested I get a part-time job where I'd learn computer programming. The employment office at Princeton sent me to the Statistics Department. I went to work for a professor (Larry Mayer) doing statistical data analysis of household energy use; this taught me to use statistical computer programs ...
Xi,1 = f(Xi,2, . . . , Xi,p) + Zi. (2) Linear regression modelling involves mostly linear algebra: the estimated coefficients of the least-squares method can be obtained by ˆa = (XT X)−1XT Y ...
Princeton, Harvard, Berkeley, Stanford: David Donoho hat in seiner Laufbahn kaum eine US-Topuni ausgelassen. Als Statistiker spannte er den Bogen von mathematischer Grundlagenforschung zu ganz praktischen – und zum Teil bahnbrechenden – Anwendungen in der digitalen Signal- und Bildverarbeitung, etwa bei der Analyse von Aufnahmen aus der Magnetresonanztomografie (MRT). 2013 wurde der ...
1. Aug. 2018 · August 1, 2018. mathunion.org. Reporting in live from Rio de Janeiro where the ceremony was taking place at ICM 2018, Emmanuel Candès has shared the news that David Donoho is the recipient of the 2018 Gauss Prize, the major prize in applied mathematics awarded jointly by the German Mathematical Union and the International Mathematical Union.
David Donoho has studied the exploitation of sparse signals in signal recovery, including for denoising, superresolution, and solution of underdetermined equations. His work showed that L1 penalization was an effective and even optimal way to exploit sparsity and coined the notion of Compressed Sensing which has impacted many scientific and technical fields, including magnetic resonance ...
