In computability theory, a Turing degree [X] is high if it is computable in 0′, and the Turing jump [X′] is 0′′, which is the greatest possible degree in terms of Turing reducibility for the jump of a set which is computable in 0′. Similarly, a degree is high n if its n'th jump is the (n+1)'st jump of 0. Even more generally, a degree d is generalized high n if its n'th jump is the n'th jump of the join of d with 0′. (Wikipedia).
How To Build Quality Software Fast
Would you prefer to go fast, or to work with high quality? This has been seen as a trade-off for a long time, but it is a mistake, certainly when it comes to software. There is no trade-off between speed and quality, we can have both. In fact, it is better than that, if you want speed, bui
From playlist DevOps
The Explainer: What It Takes to Be a Great Leader
“Level 5” leadership is about combining fierce resolve with personal humility. “Level 5” refers to the highest level in a hierarchy of executive capabilities. Leaders at the other four levels in the hierarchy can produce high degrees of success but not enough to elevate companies from me
From playlist The Explainer
Open Source vs. Closed Source Software
In this video, you’ll learn more about the differences between open-source software and closed-source software. Visit https://edu.gcfglobal.org/en/basic-computer-skills/ for more technology, software, and computer tips. We hope you enjoy!
From playlist Technology Trends
Computing Statistics - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
To have sound levels of self-esteem is one of the gateways to happiness. But achieving this has very little to do with the progress of our careers. If you like our films, take a look at our shop (we ship worldwide): https://goo.gl/1Uj9JM Watch more films on SELF: http://bit.ly/TSOLself P
From playlist SELF
A great way to improve your skills when learning to code is by solving coding challenges. Solving different types of challenges and puzzles can help you become a better problem solver, learn the intricacies of a programming language, prepare for job interviews, learn new algorithms, and mo
From playlist Learn To Code
How to Rank #1 in Google (7 New Strategies)
This video will show you exactly how to rank in Google using strategies that are working right now (in 2022). So, what will you learn in this new video? First, I’ll show you how to find low-competition keywords. Some of these are long tail keywords. But some of them get a decent amount
From playlist How to Get Higher Google Rankings
Abundant, Deficient, and Perfect Numbers ← number theory ← axioms
Integers vary wildly in how "divisible" they are. One way to measure divisibility is to add all the divisors. This leads to 3 categories of whole numbers: abundant, deficient, and perfect numbers. We show there are an infinite number of abundant and deficient numbers, and then talk abou
From playlist Number Theory
Top Tips For Negotiating A Pay Rise
Discussions about salary can be tricky to raise, but our latest video offers some top tips to approaching the subject professionally so you stand the best chance of success
From playlist Find Your Value
Stanford Seminar - Computing with High-Dimensional Vectors
EE380: Computer Systems Colloquium Seminar Computing with High-Dimensional Vectors Speaker: Pentti Kanerva, Stanford CSLI & UC Berkeley Redwood Center for Theoretical Neuroscience Computing with high-dimensional vectors complements traditional computing and occupies the gap between symbo
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
DDPS | Learning hierarchies of reduced-dimension and context-aware models for Monte Carlo sampling
In this DDPS Seminar Series talk from Sept. 2, 2021, University of Texas at Austin postdoctoral fellow Ionut-Gabriel Farcas discusses hierarchies of reduced-dimension and context-aware low-fidelity models for multi-fidelity Monte Carlo sampling. Description: In traditional model reduction
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
An Overview of High Performance Computing and Challenges for the Future
Google Tech Talks January, 25 2008 ABSTRACT In this talk we examine how high performance computing has changed over the last 10-year and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our software. A new generation of softwar
From playlist Scientific Computing
The Computer Chronicles - High Tech Hawaii Part 3 (2001)
Special thanks to archive.org for hosting these episodes. Downloads of all these episodes and more can be found at: http://archive.org/details/computerchronicles
From playlist The Computer Chronicles 2001 Episodes
The Computer Chronicles - High Tech Hawaii Part 4 (2001)
Special thanks to archive.org for hosting these episodes. Downloads of all these episodes and more can be found at: http://archive.org/details/computerchronicles
From playlist The Computer Chronicles 2001 Episodes
Guoliang Yu: Higher invariants in noncommutative geometry
Talk by Guoliang Yu in Global Noncommutative Geometry Seminar (Europe) http://www.noncommutativegeometry.nl/ncgseminar/ on November 30, 2020
From playlist Global Noncommutative Geometry Seminar (Europe)
Machine Learning Lecture 22 "More on Kernels" -Cornell CS4780 SP17
Lecture Notes: http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote13.html http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote14.html
From playlist CORNELL CS4780 "Machine Learning for Intelligent Systems"
Peng Chen: "Projected Stein variational methods for high-dimensional Bayesian inversion"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop II: PDE and Inverse Problem Methods in Machine Learning "Projected Stein variational methods for high-dimensional Bayesian inversion constrained by large-scale PDEs" Peng Chen - University of Texas at Austin Abstract: In this talk, I wi
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
Kunle Olukotun, Stanford University - Stanford Big Data 2015
Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.
From playlist Big Data in Biomedicine Conference 2015
How to Solve Absolute Value Inequalities
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys How to Solve Absolute Value Inequalities
From playlist College Algebra
Society and high performance computing
Talk given by Ian Bird, Worldwide LHC Computing Grid Project Leader, at the CERN Opendays 2013. To view this talk alongside the slides shown see http://cds.cern.ch/record/1604822. Watch more Opendays videos via this playlist: http://www.youtube.com/playlist?list=PLAk-9e5KQYEp1K0f5IA_6TqiwY
From playlist 2013: Talks from CERN Opendays