NIMH Non-Invasive Brain Stimulation E-Field Modeling Workshop
The National Institute of Mental Health (NIMH/NIH) hosted a Non-Invasive Brain Stimulation E-Field Modeling Workshop on Saturday, November 11, 2017, ...
National Institute of Mental Health (NIMH)
Chapter V - The Inverse Design (Conundrum)
This talk/ demonstration is in-line with the design of airfoil by inverse methods. The airfoil could be designed approximately by the chart method. However ...
Vijai Kaarthi V
Mod-01 Lec-02 Principles of Pattern Recognition II (Mathematics)
Pattern Recognition by Prof. C.A. Murthy & Prof. Sukhendu Das,Department of Computer Science and Engineering,IIT Madras.For more details on NPTEL visit ...
nptelhrd
Microservices and the Inverse Conway Manoeuvre - James Lewis
Go faster than your competitors. That's the promise of microservices – deploy faster, scale faster, be more robust. It's all about outcomes and the way your ...
NDC Conferences
Lecture - 34 Optimal Generation Scheduling
Lecture Series on Power System Generation, Transmission and Distribution by Prof.D.P.Kothari, Centre for Energy Studies, IIT Delhi For more details visit ...
nptelhrd
Mod-01 Lec-34 Steady State Models - Induction Machine
Modelling and Analysis of Electric Machines by Dr. Krishna Vasudevan,Department of Electrical Engineering,IIT Madras.For more details on NPTEL visit ...
nptelhrd
AP Physics C: Electricity and Magnetism: 2.2 Capacitors [Part 1]
AP Physics C: Electricity and Magnetism: 2.2 Conductors, Capacitors, Dielectrics: Capacitors [Part 1]. Skills 1.A Describe the physical meaning (includes ...
Advanced Placement
Lecture 10 - Mobile Radio Propagation Contd
Lecture Series on Wireless Communications by Dr.Ranjan Bose, Department of Electrical Engineering, IIT Delhi. For more details on NPTEL, visit ...
nptelhrd
DeepMind x UCL | Deep Learning Lectures | 11/12 | Modern Latent Variable Models
This lecture, by DeepMind Research Scientist Andriy Mnih, explores latent variable models, a powerful and flexible framework for generative modelling.
DeepMind
JuliaCon 2019 | A General-Purpose Toolbox for Efficient Kronecker-Based Learning
Pairwise learning is a machine learning paradigm where the goal is to predict properties of pairs of objects. Applications include recommender systems, such as ...
The Julia Programming Language
Lec-26 Radial Basis Function as ill-Posed Surface Reconstruc
Lecture Series on Neural Networks and Applications by Prof.S. Sengupta, Department of Electronics and Electrical Communication Engineering, IIT Kharagpur.
nptelhrd
15 - Inverse 2-sided z-transform
A brief overview of how to compute the 2-sided z-transform, particularly how the region of convergence will change the inverse z-transform. This lecture is ...
EngMicroLectures
AP Physics C: Electricity and Magnetism: 5.3 Maxwell’s Equations
AP Physics C: Electricity and Magnetism: 5.3 Maxwell's Equations Explain for a changing magnetic field can induce an electric field. AP exams in 2020 will be ...
Advanced Placement
Basics Of Integration-2 | Lec 7 | Foundation Course In Mathematics for GATE/ESE Exam
This is a Foundation Course On Mathematics for GATE/ESE Exam by V.krishna Sir. The topic covered in this lecture is the Basics Of Integration. All students ...
Unacademy GATE English
AP Physics C: Electricity and Magnetism: 1.2 Electrostatics: Electric Field Due to Point Charges
5.A Select an appropriate law, definition, mathematical relationship, or model to describe a physical situation. AP exams in 2020 will be at-home, online tests.
Advanced Placement
ITA 2010 - Multisource Network Coding, Raymond W. Yeung
2010 Information Theory and Applications Workshop Multisource Network Coding Raymond W. Yeung, Chinese University of Hong Kong Abstract: The capacity ...
The Qualcomm Institute
Noise in Analog Communication Systems-A Conceptual Video Lecture
Noise in Analog Communication Systems-A Conceptual Video Lecture Analog Communication Part(III)
GateStudy
Invertible Neural Networks and Inverse Problems
Online lecture on Invertible Neural Networks as priors for inverse problems in imaging. This lecture is from Northeastern University's CS 7180 Spring 2020 class ...
Paul Hand
What Bodies Think About: Bioelectric Computation Outside the Nervous System - NeurIPS 2018
Presented December 4th 2018 by Prof. Michael Levin (Allen Discovery Center at Tufts University) Michael Levin Vannevar Bush Professor Director, Allen ...
The Artificial Intelligence Channel
Machine Learning Lecture 22 "More on Kernels" -Cornell CS4780 SP17
Lecture Notes: http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/lecturenote13.html ...
Kilian Weinberger
A Primer on Gaussian Processes for Regression Analysis || Chris Fonnesbeck
Gaussian processes are flexible probabilistic models that can be used to perform Bayesian regression analysis without having to provide pre-specified ...
Coding Tech
Getting Started with PROC MCMC
Fang Chen in the Statistical Applications Department at SAS shows how to use this general Bayesian modeling tool. For more information, visit ...
SAS Software
SOTABeams WSPRlite overview
An overview of the WSPRlite beacon from SOTABeams. My thanks to Richard G3CWI for providing the test unit. You can see some of my experimental results ...
Michael Sansom
Lec 8 Minimum Mean Squared Error MMSE Estimation Application – Wireless Fading Channel Estimation
Want to learn PYTHON and R projects for 5G Technology? Check out our NextGen 5G School! https://www.iitk.ac.in/mwn/NTRS/ Welcome to the IIT Kanpur ...
NOC16 July-Sep EC15
AP Physics C: Electricity and Magnetism: Gauss's Law Conductors and Insulators
AP Physics C: Electricity and Magnetism: Gauss's Law Conductors and Insulators Electrostatics: Gauss's Law Conductors and Insulators. 1.A Describe the ...
Advanced Placement
Inverse trigonometry functions. Plus two maths detailed class with malayalam explanation. Part1
U can score high marks in plus two maths.
Joes channel
Introduction to Network Services Orchestrator - the single API and CLI for your network
Season 1, Talk 6 of NetDevOps Live! Kevin Corbin introduces Cisco NSO and how it provides a single CLI, API, and GUI for existing networks, making the ...
Cisco DevNet
Lecture - 13 Voltage Regulation
Lecture Series on Power System Generation, Transmission and Distribution by Prof.D.P.Kothari, Centre for Energy Studies, IIT Delhi For more details visit ...
nptelhrd
Mod-01 Lec-11 Practical issues in Implementation of Fiber link
Advanced Optical Communication by Prof. R.K. Shevgaonkar,Department of Electronics & Communication Engineering ,IIT Bombay.For more details on NPTEL ...
nptelhrd
Eveything you need to know about LoRaWAN in 60 minutes - Johan Stokking (The Things Industries)
Learn more about LoRaWAN on our website: https://www.thethingsnetwork.org/ Get your The Things Certification right away and prove your knowledge officially: ...
The Things Network
Samuli Siltanen: Reconstruction methods for ill-posed inverse problems - Part 2
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its ...
Centre International de Rencontres Mathématiques
Tamara Broderick: Variational Bayes and Beyond: Bayesian Inference for Big Data (ICML 2018 tutorial)
Abstract: Bayesian methods exhibit a number of desirable properties for modern data analysis---including (1) coherent quantification of uncertainty, (2) a ...
Steven Van Vaerenbergh
Decoding the LoRa PHY (33c3)
https://media.ccc.de/v/33c3-7945-decoding_the_lora_phy Dissecting a Modern Wireless Network for the Internet of Things LoRa is an emerging Low Power ...
media.ccc.de
Data Streams I
Michael Kapralov, EPFL https://simons.berkeley.edu/talks/clone-clone-clone-clone-sketching-linear-algebra-i-basics-dim-reduction Foundations of Data Science ...
Simons Institute
Gauss' Law Part 3
Using Gauss to determine the Electric Field from a Conducting Sphere and a Line of Charge, and graphing the fields in space.
John Bruss
The Convergence of Hamiltonian Monte Carlo
Santosh Vempala, Georgia Institute of Technology https://simons.berkeley.edu/talks/convergence-hamiltonian-monte-carlo Optimization, Statistics and ...
Simons Institute
The Good, the Bad, and the Ugly of ML for Networked Systems
We are witnessing a huge surge in efforts and interest in developing machine-learning (ML) based solutions for optimizing large-scale networked systems.
Microsoft Research
Access Internal Networks with Reverse VPN connections - Hak5 1921
Hak5 -- Cyber Security Education, Inspiration, News & Community since 2005: Accessing internal networks without an internal VPN server. Learn how to setup a ...
Hak5
S9E04: The Statistics of Surprise
Principles of Complex Systems, Fall 2015 Course website: http://www.uvm.edu/~pdodds/teaching/courses/2015-08UVM-300/ Tweetage: ...
Peter Sheridan Dodds
Beyond classical computing via randomized low‐depth quantum circuits
by Michael Bremner, professor of software engineering at the Centre for Quantum Software and Information at the University of Technology Sydney, and leads ...
IBM Research
Extreme Learning Machine: Learning Without Iterative Tuning
Neural networks (NN) and support vector machines (SVM) play key roles in machine learning and data analysis. However, it is known that there exist some ...
Microsoft Research
CVPR 2019 Oral Session 2-1A: Deep Learning
0:57 Learning Video Representations from Correspondence Proposals Xingyu Liu (Stanford University)*; Joon-Young Lee (Adobe Research); Hailin Jin (Adobe ...
ComputerVisionFoundation Videos
