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Communication - the movement of data between levels of memory hierarchy or between processors over a network - is the most expensive operation in terms of both time and energy at all scales of computing, from your smartphone to the latest supercomputers. Achieving scalable performance in terms of time and energy thus requires a dramatic shift in the field of algorithmic design, with a critical focus on new communication-avoiding algorithms capable of fully exploiting the available computational

Avoiding Communication in Sparse Iterative Solvers Erin Carson

⏲ 28 min 37 sec ✓ 12-Feb-2015

Dear linear algebra students, This is what matrices (and matrix manipulation) really look like

⏲ 16 minutes 26 seconds 👁 539.1K

As safety professionals, we know a near-miss investigation can be more important and more impactful than an accident investigation. However, in campus settings where academic and administrative groups may have department-specific processes, it can be difficult to standardize reporting to ensure the safety office is consistently included in the communications. EHS and the Office of Research Safety collaborated to create a mobile app and desktop tool to simplify and centralize reporting, which was

Simplify and Centralize Incident Reporting with An App

⏲ 44 min 86 sec ✓ 30-Apr-2020

Scrambled hosted a Software Circus meetup about Artificial Intelligencenn--nnSiraj Raval: The Math of Neural NetworksnnWe'll dive into the linear algebra and calculus necessary to understand neural network fundamentals.nSiraj is a Data Scientist, Youtube Star, and Best Selling Author of Decentralized Applications. He recently finished teaching the Deep Learning Nanodegree at Udacity and is currently teaching a course called The Math of Intelligence on Youtube. nnMaarten Stol: Topic analysis an

Software Circus - AI Meetup hosted by Scrambled

⏲ 66 sec ✓ 03-Aug-2017

This is the video of the BMS Friday lecture by Louis J. Billera (Cornell University) entitled

In pursuit of a white whale: On the real linear algebra of vectors of zeros and ones

⏲ 42 min 72 sec ✓ 16-Jul-2018

Approximate low-rank factorizations pervade matrix data analysis, often interpreted in terms of latent factor models. After discussing the ubiquitous singular value decomposition (aka PCA), we turn to factorizations such as the interpolative decomposition and the CUR factorization that offer advantages in terms of interpretability and ease of computation. We then discuss constrained approximate factorizations, particularly non-negative matrix factorizations and topic models, which are often part

David Bindel, Cornell University -Latent factor models Lecture 2

⏲ 35 min 23 sec ✓ 18-Jun-2019

Manuel Kauers, Rutgers Experimental Mathematics Seminar, July 28, 2016nnSee part 2 at vimeo.com/177142935nnAbstract: We all know that the sum and the product of two C-finite sequences is again C-finite, and it is not hard to find recurrence equations for the sum or the product of two given C-finite sequences using linear algebra. Conversely, it is also not too difficult to decide whether a given C-finite sequence can be written nontrivially as a sum of two simpler C-finite sequences. This just r

Factorization of C-finite Sequences (part 1)

⏲ 17 min 99 sec ✓ 02-Aug-2016

Haiyan Wang earned his bachelor’s degree in mathematics at Northwest Normal University (China) and his master’s in applied mathematics at Ocean University of China. In 1997 he completed his Ph.D. in mathematics, while also earning an M.S. in computer science, at Michigan State University. After several years spent working as a software engineer for Information Graphics Corp., Dr. Wang accepted a faculty position with the University of Central Arkansas. He came to ASU’s West campus in 2005.

⏲ 70 sec ✓ 19-Jul-2012

Welcome to the award-winning Generative AI Foundations course from Praxis AI and world renown AI expert Reed Bender. Generative AI is here to stay and is poised to change every corner of our world … this course is where your journey begins. nnStudents and faculty are guided through a cutting-edge collection of resources, labs, and assessments designed to equip them with the skills and tools necessary to understand both the mathematics underlying machine learning and the revolutionary AI applic

Praxis Generative AI Foundations - Course Demo

⏲ 2 min 16 sec ✓ 04-Oct-2023

Keynote Title: Database Systems and Information Management: Trends and a VisionnnKeynote Lecturer: Volker MarklnPresented on: 07/07/2021, Online StreamingnnAbstract: The global database research community has greatly impacted the functionality and performance of data storage and processing systems along the dimensions that define “big data”, i.e., volume, velocity, variety, and veracity. Locally, over the past five years, we have also been working on varying fronts. Among our contributions a

⏲ 25 min 8 sec ✓ 12-Jul-2021

Manuel Kauers, Rutgers Experimental Mathematics Seminar, July 28, 2016nnSee part 1 at vimeo.com/177142934nnAbstract: We all know that the sum and the product of two C-finite sequences is again C-finite, and it is not hard to find recurrence equations for the sum or the product of two given C-finite sequences using linear algebra. Conversely, it is also not too difficult to decide whether a given C-finite sequence can be written nontrivially as a sum of two simpler C-finite sequences. This just r

Factorization of C-finite Sequences (part 2)

⏲ 5 min 94 sec ✓ 02-Aug-2016

Slides and more info: http://www.lambdadays.org/lambdadays2016/andre-van-delftnnThis talk is about 2 fundamental algebraic theories in computer science that deserve much more attention than they currently get: the Algebra of Communicating Processes (ACP) and Program Algebra (PGA).nnACP is an algebraic process theory, initiated by Jan Bergstra and Jan Willem Klop in 1982. It builds on Kleene’s formal languages and automata of the 1950. ACP provides a solid algebraic approach, and adds high leve

Andre van Delft - ACP and PGA (Lambda Days 2016)

⏲ 13 min 82 sec ✓ 01-Apr-2016

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