A Machine Learning Perspective on Managing Noisy Structured Data
Modern analytics depend on high-effort tasks like data preparation and data cleaning to produce accurate results. This talk describes recent work on making ...
Microsoft Research
YOW! Lambda Jam 2019 - Edward Kmett - Logic Programming à la Carte
I've been working on a logic programming framework in Haskell, called guanxi (關係) with an eye towards scalability. To build it I leaned heavily on my previous ...
YOW! Conferences
Provable Robustness Beyond Bound Propagation
Zico Kolter (Carnegie Mellon University) https://simons.berkeley.edu/talks/tbd-52 Frontiers of Deep Learning.
Simons Institute
Succeeding in Process Optimization Tasks : Soybean oil deodorization
Vegetable oil refining plants rely on innovation to remain competitive and profitable. Any improvements in operating expense and quality parameters of final ...
AOCS American Oil Chemists' Society
Class 02 - The Learning Problem and Regularization
Lorenzo Rosasco, MIT, University of Genoa, IIT 9.520/6.860S Statistical Learning Theory and Applications Class website: http://www.mit.edu/~9.520/fall17/
MITCBMM
Uncertain Futures: Imaginaries, Narrative, and Calculation in the Economy
Dynamic capitalist economies are characterized by relentless innovation and novelty and hence exhibit an indeterminacy that cannot be reduced to measurable ...
Watson Institute for International and Public Affairs
Sinéad RYAN - QCD: Numerical Integration of a Quantum Field Theory
At hadronic energy scales, quantum chromodynamics (QCD) requires a nonperturbative treatment to calculate physical observables. Lattice QCD is a ...
Institut des Hautes Études Scientifiques (IHÉS)
Philosophy of Science 8 - Incommensurability
This video examines the incommensurability thesis, one of the most important and controversial ideas to come from Kuhn's work. I discuss three aspects of ...
Kane B
"Richard Feynman’s Adventures in Biology," Curtis Callan, Princeton University
In this talk, Curtis will give a synopsis of Richard Feynman's career as a one of the great theoretical physicists of the 20th century. Besides physics, Feynman ...
Aspen Physics
Timothy Williamson – Alternative logics and abductive methodology
UConn Logic Group – Logic Colloquium, March 23, 2016 http://logic.uconn.edu/ Timothy Williamson (Oxford) – Alternative logics and abductive methodology ...
UConn Logic Group
Luis Miguel Rojas-Berscia
An Introduction to Dynamic Linguistics: Capturing Fluidity In Language Change Dynamic Linguistics (DL) was developed as an offshoot of late generative ...
Abralin
Doreen Fraser: How analytic continuation relativistic QFT models relate to non-relativistic models
One mathematical technique that is commonly used in QFT is analytic continuation of the time variable (e.g., Wick rotation). This strategy relates the relativistic ...
Rotman Institute of Philosophy
Why Semantics, Not Syntax, creates NLU
This is the first video in the series on NLU: why syntax alone is inadequate. We look at the underlying hypothesis and approach to syntactic structures and ...
Pat Inc
Niklas Luhmann – 1995 – Systems theory and post-modernism (English language lecture)
Englischsprachige Gastvorlesung von Niklas Luhmann (Aufzeichnung vom 17.03.1995 / London School of Economics and Political Science / LSE)
Niklas Luhmann
S.I. Hayakawa - Theories and Practices of General Semantics (1971)
An explanation of the concepts of general semantics; using biological science as a theoretical model, Hayakawa criticizes the anti-scientific orientation of most ...
Biophily2
The Mathematics of Networks
John Baez, UC Riverside https://simons.berkeley.edu/talks/john-baez-12-06-2016 Compositionality.
Simons Institute
David Jaz Myers: Homotopy type theory for doing category theory
MIT Category Theory Seminar 2020/03/26 ©Spifong Speaker: David Jaz Myers Title: Homotopy type theory for doing category theory Abstract: Homotopy Type ...
Topos
Domain Theory and Measure Theory
Michael Mislove, Tulane University https://simons.berkeley.edu/talks/michael-mislove-2016-08-30 Logical Structures in Computation Boot Camp.
Simons Institute
"Discrimination" by Jeffrey Kipnis
Professor, Ohio State University. Public lecture, Piper Auditorium.
Harvard GSD
Prof. Shashua at World Knowledge Forum: Platform for Safe & Scalable AVs
Watch Prof. Amnon Shashua's address and Q&A session at the 2017 World Knowledge Forum in Seoul South Korea entitled “Autonomous Vehicles and Artificial ...
Mobileye an Intel Company
"The Ventral Speech Stream Revisited", Gregory Hickok
Lecture in the C-STAR series by Greg Hickok, PhD (University of California, Irvine), given on December 14th, 2017. Abstract: This talk reconsiders the functional ...
C-STAR Lecture Series
Sanjeev Arora on "A theoretical approach to semantic representations"
The success of many recent methods in machine learning --including deep learning---relies upon finding a succinct coding of the "semantic content" of the input.
CMU Theory
From LSI to Probabilistic Topic Models: An introduction to Topic Models
Topic models attempt to discover themes, or Topics, from large collection of documents. Discovering themes from a document corpus is an important problem ...
Microsoft Research
Getting & Getting Across the Message. 2019 Ryerson Lecture—Michael Silverstein, Constantine Nakassis
The 2019 Nora and Edward Ryerson Lecture: Michael Silverstein & Constantine V. Nakassis The Charles F. Grey Distinguished Service Professor of ...
The University of Chicago
Improved Language Modeling by Decoding the Past
By: Siddhartha Brahma, IBM Research Bio: Siddhartha is a Research Staff Member in the Scalable Knowledge Intelligence group at IBM Research Almaden.
IBM Research
MIA: Barbara Engelhardt, Structured factor models to identify interpretable signal in genomic data
March 3, 2017 Models, Inference and Algorithms: Broad Institute of MIT and Harvard Structured factor models to identify interpretable signal in genomic data ...
Broad Institute
Elena Esposito: Future and uncertainty in the digital society
What does prediction by algorithms and AI mean? Organisations and administrations are collecting and storing massive amounts of data in order to detect ...
Alexander von Humboldt Institut für Internet und Gesellschaft
An Introduction to Deep Learning: Theory, Use Cases and Tools
Learn more about AWS and check out the upcoming schedule, previous recordings, and links to the resources discussed at - https://amzn.to/2FbpdA1.
Amazon Web Services
Exploratory analysis of word frequencies across corpus texts
http://www.birmingham.ac.uk/cl2017 Dr Andrew Hardie (Lancaster University) delivers the opening plenary at the Corpus Linguistics Conference 2017 at the ...
University of Birmingham
Subini Annamma on "Excavating Possibilities: Disability Critical Race Theory (DisCrit) in Education"
On February 22 the Haas Institute's Disability Studies Cluster and the Graduate School of Education hosted a talk by Subini Ancy Annamma, who is an Assistant ...
Othering & Belonging Institute
The Philosophy of "As If" with Kwame Anthony Appiah
Visit: http://www.uctv.tv) A leading moral and political philosopher, Kwame Anthony Appiah is Professor of Philosophy and Law at New York University.
University of California Television (UCTV)
Brains@Bay Meetup - Lateral Connections in the Neocortex (June 3, 2020)
To learn more about Brains@Bay, visit our Meetup page https://www.meetup.com/BraIns-Bay Brains@Bay Meetups focus on how neuroscience can inspire us to ...
Numenta
A New Framework for Modeling Brain Information Processing - Nikolaus Kriegeskorte
Nikolaus Kriegeskorte, Programme Leader at the Medical Research Council's Cognition and Brain Sciences Unit in Cambridge, UK, describes a framework for ...
Stanford
Otávio Bueno - "Identity and Quantification"
Prof. Otávio Bueno (University of Miami) gives a talk at the International Centre of Philosophy NRW at the University of Bonn about "Identity and Quantification"
Internationales Zentrum für Philosophie NRW
Sanjeev Arora: What is Machine Learning?
This is the first Ahlfors lecture of Sanjeev Arora from Princeton University and the Institute for Advanced Study. The lecture was given on September 11, 2018 at ...
Harvard Math
RI Seminar: C. Karen Liu : Modeling Human Movements for Robotics (Audio Fix)
C. Karen Liu Associate Professor School of Interactive Computing, Georgia Tech Friday, October 27, 2017 Modeling Human Movements for Robotics Abstract: ...
cmurobotics
Prof. Alex Simpson - The Intertwined Foundations of Mathematics and Computer Science
Professor Alex Simpson, Personal Chair in Foundations of Computer Science, delivered his inaugural lecture entitled "The Intertwined Foundations of ...
The University of Edinburgh
Innovation and Creation in Recovery: The Growing Field of Recovery Science
Recovery science has emerged over the last few years as a field concerned with examining, characterizing, and uplifting addiction and mental health recovery at ...
TheIRETAchannel
Dark Matter and Vector fields in non-trivial representations of SU(2)_L
Dark Universe Workshop – Early Universe Cosmology, Baryogenesis and Dark Matter October 24, 2019 October 21-25, 2019 Speaker: Alfonso Zerwekh ...
ICTP-SAIFR
Anjan Chakravartty: Constraints on Rational Scientific Disagreement
In recent work I have argued that scientific disagreement can be rational even in contexts of shared evidence and comparable expertise. The notion that rival ...
Rotman Institute of Philosophy
Exploring the Implications of Artificial Intelligence with Michael Kollo
Episode 16: Michael Kollo This episode features a conversation between John Papola and Michael Kollo. Michael is a thinker, writer, and podcaster in the ...
Emergent Order
CVPR 2019 Oral Session 3-2A: Deep Learning
0:00 Practical Full Resolution Learned Lossless Image Compression Fabian Mentzer (ETH Zurich)*; Eirikur Agustsson (ETH Zurich); Michael Tschannen (ETH ...
ComputerVisionFoundation Videos