Proteins play countless roles throughout the biological world, from catalyzing chemical reactions to building the structures of all living things. Despite this wide range of functions all proteins are made out of the same twenty amino acids, but combined in different ways. The way these twenty amino acids are arranged dictates the folding of the protein into its primary, secondary, tertiary, and quaternary structure. Since protein function is based on the ability to recognize and bind to specific molecules, having the correct shape is critical for proteins to do their jobs correctly. Learn more about the relationship between protein structure and function in this video.
- Cell Structure and Viruses
- Enzyme Activity and Cell Respiration
- Cell Cycle, Reproduction and Embryology
- Genetics
- Nervous and Musculoskeletal System
- Endocrine System
- Digestive and Excretory Systems
- Cardiovascular and Respiratory Systems
- Immune System
- Atomic Structure and Molecules
- Kinetic Molecular Theory and Chemical Reactions
- Thermodynamics
- Calorimetry and Colligative Properties
- Solutions, Solvents and Solubility
- Acid and Base Reactions
- Electrochemistry
- Special Relativity
- Quantum Theory
- Quantum Mechanics
- Quantum-Mechanical Theory of Atoms
- Chemical Bonds and Solid-State Physics
- Nuclear Physics
- Particle Physics
Google Spotlight Stories is a new form of immersive storytelling made specifically for mobile and VR. In these 360-degree, interactive stories, your phone be...
Learn to make the most of the tools that hackers have been using for decades.
As hackers, we spend a lot of time on our computers, so it makes sense to make that experience as fluid and frictionless as possible. In this class, we’ll help you learn how to make the most of tools that productive programmers use.
We’ll show you how to navigate the command line, use a powerful text editor, use version control efficiently, automate mundane tasks, manage packages and software, configure your desktop environment, and more.
Karan Thapar speaks to former Pakistani ambassador to the US and well-known academic scholar Husain Haqqani about his new book 'Reimagining Pakistan: Transfo...
The textbook Analytic Combinatorics by Philippe Flajolet and Robert Sedgewick enables precise quantitative predictions of the properties of large combinatorial structures.
The textbook An Introduction to the Analysis of Algorithms by Robert Sedgewick and Phillipe Flajolet overviews the primary techniques used in the mathematical analysis of algorithms.
TubeID.Co is a free video search engine and online media conversion to download youtube videos, which allows you to convert and download YouTube URLs to formats like MP4, M4A, 3GP, WEBMG and 3D.
Use a computer? Game on a PC? Ever wonder how those graphics get so pretty? Let's go inside your high-end graphics card with this animation. Subscribe for mo...
The following data directories include examples and a little information about various file formats e.g.
- off, ply, obj, pcd, 3ds, etc.
- mp4, mov, mpg, etc.
- bmp, png, tif, etc.
What if there was an Empire-focussed short Star Wars animation, drawn with the crazy detail and shading of classic 80s anime that's all but vanished from Japan nowadays? Well, I tried my best.
This archive holds videos of past Fields lectures. Lectures are archived in two formats.The interactive format, viewed in a flash-player-enabled desktop web browser, allows you to zoom in and out on specific areas of the blackboards or screens (providing a viewing experience more like being present in the room). The static format, although it does not allow for zooming in to read small blackboard writing, is downloadable and compatible with a wide variety of desktop and mobile video players.
The PUNLAG seminar is intended to supplement the numerical linear algebra course sequence at Purdue. The standard course CS515 doesn't have room for a number of interesting problems -- we hope to cover some in this seminar!
The channel linked to in this post contains a number of long walks through various locations in Japan. It helps that the videos are well stabilized, without commentary and have footage of locations that are normal rather than touristy.
"99% of People Are Living In Delusion" John Frederick Demartini ***SUBLIMINAL PROGRAMS*** - https://bit.ly/2z7zyfG Special thanks to: John Demartini - https:...
- ARM Research
- Hound: Causal Learning for Datacenter-scale Straggler Diagnosis
- Adaptive Resource Management for Mobile CMPs through Self-awareness
- On-the-fly deterministic binary filters and other on-going work in Machine Learning Systems
- Managed Modularity for Deep Neural Networks
The center of the technology world may not lie in California's Silicon Valley, but in the bustling marketplace of Huaqiangbei, a subdistrict of Shenzhen...
Spinning objects have strange instabilities known as The Dzhanibekov Effect or Tennis Racket Theorem - this video offers an intuitive explanation. Part of th...
Carnegie Mellon University Course: 11-785, Intro to Deep Learning Offering: Fall 2019 Notebook: http://deeplearning.cs.cmu.edu/document/recitation/recitation...
List of 51 TensorFlow deep learning tutorial videos. TensorFlow™ is an open source software library for numerical computation using data flow graphs....
This course will introduce the student to classic neural network structures, Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Neural Networks (GRU), General Adversarial Networks (GAN) and reinforcement learning. Application of these architectures to computer vision, time series, security, natural language processing (NLP), and data generation will be covered. High Performance Computing (HPC) aspects will demonstrate how deep learning can be leveraged both on graphical processing units (GPUs), as well as grids. Focus is primarily upon the application of deep learning to problems, with some introduction to mathematical foundations. Students will use the Python programming language to implement deep learning using Google TensorFlow and Keras.
DownSub is a free web application that can download subtitles directly with playlist from Youtube, Drive, Viu, Vimeo, Viki, OnDemandKorea, Vlive and more.
This is the Graph Neural Networks: Hands-on Session from the Stanford 2019 Fall CS224W course.
In this tutorial, we will explore the implementation of graph neural networks and investigate what representations these networks learn. Along the way, we'll see how PyTorch Geometric and TensorBoardX can help us with constructing and training graph models.
Pytorch Geometric tutorial part starts at -- 0:33:30
Details on:
* Graph Convolutional Neural Networks (GCN)
* Custom Convolutional Model
* Message passing
* Aggregation functions
* Update
* Graph Pooling
In this video we will take an in depth look at the fast inverse square root and see where the mysterious number 0x5f3759df comes from. This algorithm became famous after id Software open sourced the engine for Quake III. On the way we will also learn about floating point numbers and newton's method.
Physics is a part of games that has always amazed me. I find it funny how impossible it seemed to do correctly when I was younger. While making a custom game engine, it was finally demystified!
The full article: https://blog.winter.dev/2020/designing-a-physics-engine/
The background game demo: https://winter.dev/demo
Spheres are nice and all, but there comes a time when more complex shapes are needed. One popular algorithm for testing collisions is the Gilbert–Johnson–Keerthi algorithm, or GJK for short. With it we can detect collisions between any two convex polygons.
Check out the full article: https://blog.winter.dev/2020/gjk-algorithm/