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From playlist Physics
Blender - New feature test: Smoke
For more information about the 3d software Blender please visit www.blender.org. www.kaikostack.com
From playlist Random Blender Tests
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From playlist Geometry
This test was based on NightHawkinLight's formula of Starlite.
From playlist NightHawkInLight Community Video Responses!
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From playlist Geometry
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From playlist Geometry
ElixirConf 2016 - Dialyzer: Optimistic Type Checking for Erlang and Elixir by Jason Voegele
Optimistic Type Checking for Erlang and Elixir by Jason Voegele Static typing versus dynamic typing is an age-old debate amongst computer scientists and programmers, and the fact that we still argue about it suggests that there is no single right answer for all circumstances. But what if
From playlist ElixirConf 2016
CMU Neural Nets for NLP 2017 (24): Advanced Search Algorithms
This lecture (by Daniel Clothiaux) for CMU CS 11-747, Neural Networks for NLP (Fall 2017) covers: * Beam Search * A*-type Search Slides: http://phontron.com/class/nn4nlp2017/assets/slides/nn4nlp-24-search.pdf Previous Video: https://youtu.be/oMB24_ao05A Next Video: https://youtu.be/XnwB
From playlist CMU Neural Nets for NLP 2017
Deep Learning for Symbolic Mathematics
This model solves integrals and ODEs by doing seq2seq! https://arxiv.org/abs/1912.01412 https://ai.facebook.com/blog/using-neural-networks-to-solve-advanced-mathematics-equations/ Abstract: Neural networks have a reputation for being better at solving statistical or approximate problems
From playlist Deep Learning Architectures
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From playlist Geometry
Automatic Speech Recognition | by Darragh Hanley | Kaggle Days Dubai | Kaggle
Darragh is a Kaggle Grandmaster and Senior Principal AI Engineer at Optum. He works on technical strategy with a focus Machine Learning and Deep Learning of health data such as health records and patient interactions. Prior to joining Optum, Darragh spent over 15 years at Hewlett Packard d
From playlist Kaggle Days Dubai Edition | by LogicAI + Kaggle
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From playlist Chemistry
Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 7 - Translation, Seq2Seq, Attention
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3CnshYl This lecture covers: 1. Introduce a new task: Machine Translation [15 mins] - Machine Translation (MT) is the task of translating a sentence x from one langu
From playlist Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 5 – Dependency Parsing
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Dev1Yj Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial
From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019
Horizons in Accelerators, Particle/Nuclear Physics and Laboratory-based Quantum Sensors for HEP/NP-2
PROGRAM HORIZONS IN ACCELERATORS, PARTICLE/NUCLEAR PHYSICS AND LABORATORY-BASED QUANTUM SENSORS FOR HEP/NP (HYBRID) ORGANIZERS: Swapan Chattopadhyay (FNAL, Batavia, USA & IISc, India) and Rohini Godbole (IISc, India) DATE: 14 November 2022 to 17 November 2022 VENUE: Chandrasekhar Audit
From playlist Horizons in Accelerators, Particle/Nuclear Physics and Laboratory-based Quantum Sensors for HEP/NP (HYBRID)
RubyConf 2017: LLVM-based JIT compiler for MRI byTakashi Kokubun
LLVM-based JIT compiler for MRI byTakashi Kokubun JIT compiler is considered a promising approach to achieve Ruby 3x3 goal these days. But the direction of its implementation is not fixed yet. What will be the ideal approach to achieve that goal? In this talk, seeing my experiment to imp
From playlist RubyConf 2017
Colin Ophus - Multi-dimensional scanning transmission electron microscopy to solve 3D nanostructures
Recorded 24 October 2022. Colin Ophus of Lawrence Berkeley Laboratory presents "Using multi-dimensional scanning transmission electron microscopy to solve 3D nanostructures using atomic electron tomography" at IPAM's Mathematical Advances for Multi-Dimensional Microscopy Workshop. Abstract
From playlist 2022 Mathematical Advances for Multi-Dimensional Microscopy
Showreel of the Demolition script for Blender. http://blenderartists.org/forum/showthread.php?t=101635 http://www.KaiKostack.com
From playlist All Blender Videos
Towards Training Provably Private Models via Federated Learning in Practice
A Google TechTalk, 2020/7/29, presented by Om Thakkar, Google ABSTRACT: This talk is divided into two parts. In the first part, we see how several differing components of Federated Learning (FL) play an important role in reducing unintended memorization in trained models. Specifically, we
From playlist 2020 Google Workshop on Federated Learning and Analytics