Review of Linear Time Invariant Systems
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Review: systems, linear systems, time invariant systems, impulse response and convolution, linear constant-coefficient difference equations
From playlist Introduction and Background
Dynamic Random Access Memory (DRAM). Part 2: Read and Write Cycles
This is the second in a series of computer science videos is about the fundamental principles of Dynamic Random Access Memory, DRAM, and the essential concepts of DRAM operation. This video covers stages of the read cycle and the write cycle including memory address multiplexing as a means
From playlist Random Access Memory
Graph Data Structure 6. The A* Pathfinding Algorithm
This is the sixth in a series of videos about the graph data structure. It includes a step by step walkthrough of the A* pathfinding algorithm (pronounced A Star) for a weighted, undirected graph. The A* pathfinding algorithm, and its numerous variations, is widely used in applications suc
From playlist Path Finding Algorithms
Determining Signal Similarities
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Find a signal of interest within another signal, and align signals by determining the delay between them using Signal Processing Toolbox™. For more on Signal Processing To
From playlist Signal Processing and Communications
Understanding Longitudinal and Transverse Waves, Wavelength, and Period using Graphs
Four #MechanicalWaves #Graphs are introduced and used to understand and demonstrate #TransverseWaves, #LongitudinalWaves, #Wavelength, and #Period. Want Lecture Notes? https://www.flippingphysics.com/wave-graphs.html This is an AP Physics 1 Topic. 0:00 Intro 0:06 The four mechanical wave
From playlist IB Physics 4.2: Traveling Waves
Dynamic Random Access Memory (DRAM). Part 4: Multiplexers and Demultiplexers
This is the fourth in a series of computer science videos is about the fundamental principles of Dynamic Random Access Memory, DRAM, and the essential concepts of DRAM operation. This video covers multiplexers and demultiplexers. It describes what these electronic circuits do and some of
From playlist Random Access Memory
Statistical mechanics of deep learning by Surya Ganguli
Statistical Physics Methods in Machine Learning DATE: 26 December 2017 to 30 December 2017 VENUE: Ramanujan Lecture Hall, ICTS, Bengaluru The theme of this Discussion Meeting is the analysis of distributed/networked algorithms in machine learning and theoretical computer science in the
From playlist Statistical Physics Methods in Machine Learning
5G Explained: Demodulation Reference Signals in 5G NR
Learn about demodulation reference signals, or DMRS, in 5G New Radio. This video discusses their use in joint precoding and channel estimation. You will also learn about the different settings available for DMRS, including time and frequency density and position within a slot. This inclu
From playlist 5G Explained
How the Apollo Entry Guidance Algorithm Landed MSL on Mars - Simulated in Python
Implement MSL's entry guidance algorithm in Python and learn the math behind it. Full blog post at: https://www.thomasantony.com/2021/msl-apollo-guidance/ Source code: https://github.com/thomasantony/msl-apollo-entry-guidance Timestamps 00:00 Start 00:20 Introduction 02:25 History
From playlist Summer of Math Exposition Youtube Videos
Physics - Ch 66 Ch 4 Quantum Mechanics: Schrodinger Eqn (12 of 92) Time & Position Dependencies 1/3
Visit http://ilectureonline.com for more math and science lectures! In this video I will separate the time and position dependencies of the Schrodinger's equation, part 1/3. Next video in this series can be seen at: https://youtu.be/djlpmDUtIZY
From playlist PHYSICS 66.1 QUANTUM MECHANICS - SCHRODINGER EQUATION
Matthijs Vákár: Mathematical foundations of automatic differentiation
HYBRID EVENT Recorded during the meeting "Logic of Probabilistic Programming" the January 31, 2022 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's Aud
From playlist Virtual Conference
Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 3 - Backprop and Neural Networks
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3vUDzRv This lecture covers: 1. Why Python? 2. Setup 3. Language Basics 4. Introduction to NumPy 5. Practical Python Tips 6. Other Great References To learn more ab
From playlist Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021
Guillaume Bal: High-contrast high-resolution coupled physics imaging modalities
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 functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Partial Differential Equations
Sixteenth Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series Talk
Date: Wednesday, March 3, 2021, 10:00am EDT Speaker: Simon Arridge, University College London Title: Coupled Physics Imaging with Sound and Light - Deterministic and Stochastic Approaches Abstract: Coupled Physics Imaging (CPI) refers to methods that generate contrast through one phy
From playlist Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series
SOURCE Boston 2008: Understanding Emerging Threats: The case of Nugache
Speakers: Bruce Dang - Microsoft Dave Dittrich - University of Washington Distributed intruder attack tools have evolved from the original "handler/agent" DDoS tools of 1998, to very large and powerful botnets in the early 2000's. Methods of command and control (C2) have also evolved, fr
From playlist SOURCE Boston 2008
Carlo Baldassi: "On the existence of wide flat minima in neural network landscapes: analytic and..."
Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning "On the existence of wide flat minima in neural network landscapes: analytic and algorithm approaches" Carlo Baldassi - Bocconi University Abstract: The techniques c
From playlist Machine Learning for Physics and the Physics of Learning 2019
Cryptocurrency Explained: Understanding "Double-spend", Block Re-Organization, & Consensus [Bitcoin]
Today there were headlines about a "double-spend" in bitcoin! Many took that to mean that bitcoin has a catastrophic flaw (it doesn't) or the network is not secure (it is) or that bitcoin is somehow broken (it's not). Watch this video to learn the truth about what a double-spend is, what i
From playlist Consensus and Forkology
Transformers - Part 3 - Encoder
In this video, we present the encoder layer in the transformer. Important components of this presentation is that we introduce multi-head attention, positional encodings and the architecture of the encoder blocks that appear inside the encoder. The video is part of a series of videos on t
From playlist A series of videos on the transformer
Data Science - Part VIII - Artifical Neural Network
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of biological based learning in the brain and how to simulate this approach thr
From playlist Data Science
Transformer (Attention is all you need)
understanding Transformer with its key concepts (attention, multi head attention, positional encoding, residual connection label smoothing) with example. all machine learning youtube videos from me, https://www.youtube.com/playlist?list=PLVNY1HnUlO26x597OgAN8TCgGTiE-38D6
From playlist Machine Learning