EnCase Computer Forensics Demo
This is a short demo of EnCase I worked up. If you are interested in some of what professional computer forensics software can do then this is for you.
From playlist digital forensics
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
Programming Encoders - Boolean Logic | Arduino - Ep 8
Learn how to program the encoders built in the previous episode. We discuss Boolean logic, if statements, arrays, for loops, and how to setup your algorithms for each encoder design. Get the code on our GitHub: https://github.com/SciJoy/Encoder_Physics_Position How Encoders work: https:
From playlist SciJoy Uploads
In this video, I demonstrate how to perform SMB enumeration with Nmap. Nmap is used to discover hosts and services on a computer network by sending packets and analyzing the responses. Nmap provides a number of features for probing computer networks, including host discovery and service an
From playlist Nmap
How Encoders Monitor Position - Physics (Position Activity)
Encoders are like Fitbits for motors. Just like you can't keep track of how many steps you walk in a day, motors can’t monitor how far they turn. Depending on the encoder, they can monitor how many rotations, what direction it is turning, and what angle exactly the motor has rotated. Incr
From playlist SciJoy Uploads
(IC 5.7) Decoder for arithmetic coding (infinite-precision)
Pseudocode for the arithmetic coding algorithm, assuming addition and multiplication can be done exactly (i.e. with infinite precision). Later we modify this to work with finite precision. A playlist of these videos is available at: http://www.youtube.com/playlist?list=PLE125425EC837021F
From playlist Information theory and Coding
In this video, I demonstrate how to perform DNS Enumeration with Nmap. Nmap is used to discover hosts and services on a computer network by sending packets and analyzing the responses. Nmap provides a number of features for probing computer networks, including host discovery and service an
From playlist Nmap
Foundations - Seminar 11 - Gödel's incompleteness theorem Part 3
Billy Price and Will Troiani present a series of seminars on foundations of mathematics. In this seminar Will Troiani continues with the proof of Gödel's incompleteness theorem, discussing Gödel's beta function and the role of the Chinese Remainder theorem in the incompleteness theorem. Y
From playlist Foundations seminar
Enhancing Computational Fluid Dynamics with Machine Learning
Research abstract by Ricardo Vinuesa (@Ricardo Vinuesa) from KTH!! Twitter: @ricardovinuesa In this video we discuss the recent article published in Nature Computational Science by Ricardo Vinuesa and Steve Brunton, where the potential of machine learning (ML) to improve numerical simulat
From playlist Research Abstracts from Brunton Lab
MIT 6.004 Computation Structures, Spring 2017 Instructor: Chris Terman View the complete course: https://ocw.mit.edu/6-004S17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62WVs95MNq3dQBqY2vGOtQ2 9.2.5 ALU Instructions License: Creative Commons BY-NC-SA More informat
From playlist MIT 6.004 Computation Structures, Spring 2017
Lec 13 | MIT 7.012 Introduction to Biology, Fall 2004
Gene Regulation (Prof. Eric Lander) View the complete course: http://ocw.mit.edu/7-012F04 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 7.012 Introduction to Biology, Fall 2004
(IC 5.14) Finite-precision arithmetic coding - Decoder
Pseudocode for the arithmetic coding decoder, using finite-precision. A playlist of these videos is available at: http://www.youtube.com/playlist?list=PLE125425EC837021F
From playlist Information theory and Coding
DDPS | Modeling and controlling turbulent flows through deep learning
Description: The advent of new powerful deep neural networks (DNNs) has fostered their application in a wide range of research areas, including more recently in fluid mechanics. In this presentation, we will cover some of the fundamentals of deep learning applied to computational fluid dyn
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Layer Normalization - EXPLAINED (in Transformer Neural Networks)
Lets talk about Layer Normalization in Transformer Neural Networks! ABOUT ME ⭕ Subscribe: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1 📚 Medium Blog: https://medium.com/@dataemporium 💻 Github: https://github.com/ajhalthor 👔 LinkedIn: https://www.linkedin.com/in/ajay-halthor-4
From playlist Transformers from scratch
Generative machine learning models have the potential to allow us to move beyond screening to true materials discovery. Generative adversarial networks (GANs) are one powerful tool and variational autoencoders (VAEs) are another. This video descrbies autoencoders, latent space, reparameter
From playlist Materials Informatics
Nmap - Scan Timing And Performance
In this video, I demonstrate how to optimize, speed up, and slow down your Nmap scans based on the type of network environment or target you are dealing with. Nmap is a free and open-source network scanner created by Gordon Lyon. Nmap is used to discover hosts and services on a computer ne
From playlist Ethical Hacking & Penetration Testing - Complete Course
(IC 5.8) Near optimality of arithmetic coding
The expected encoded length of the entire message is within 2 bits of the ideal encoded length (the entropy), assuming infinite precision. A playlist of these videos is available at: http://www.youtube.com/playlist?list=PLE125425EC837021F
From playlist Information theory and Coding