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18:37

[ML News] ConvNeXt: Convolutions return | China regulates algorithms | Saliency cropping examined

#mlnews #convnext #mt3 Your update on what’s new in the Machine Learning world! OUTLINE: 0:00 – Intro 0:15 – ConvNeXt: Return of the Convolutions 2:50 – Investigating Saliency Cropping Algorithms 9:40 – YourTTS: SOTA zero-shot Text-to-Speech 10:40 – MT3: Multi-Track Music Transcription 11:35 – China regulates addictive algorithms 13:00 – A collection of Deep Learning […]

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533

03:19:44

061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

We are now sponsored by Weights and Biases! Please visit our sponsor link: http://wandb.me/MLST Yann LeCun thinks that it’s specious to say neural network models are interpolating because in high dimensions, everything is extrapolation. Recently Dr. Randall Bellestrerio, Dr. Jerome Pesente and prof. Yann LeCun released their paper learning in high dimensions always amounts to […]

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01:49:45

11-785, Spring 2022, Lecture 0 – Logistics

YouTube Source for this AI Video

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08:59

2022: The Year in which Virtual Reality goes Mainstream

The Future of Virtual Reality has been shown at CES 2022 in the form of retina display VR Headsets, full body tracking solutions and brain computer interfaces previewing what the future of full dive virtual reality could look like. Companies such as Meta/Facebook, Google, Apple and Valve are all investing millions into making Virtual Reality […]

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315

39:15

A breakthrough unfolds – DeepMind: The Podcast (Season 2, Episode 1)

In December 2019, DeepMind’s AI system, AlphaFold, solved a 50-year-old grand challenge in biology, known as the protein-folding problem. A headline in the journal Nature read, “It will change everything” and the President of the UK’s Royal Society called it a “stunning advance [that arrived] decades before many in the field would have predicted”. In […]

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215

24:19

A friendly introduction to distributed training (ML Tech Talks)

Google Cloud Developer Advocate Nikita Namjoshi introduces how distributed training models can dramatically reduce machine learning training times, explains how to make use of multiple GPUs with Data Parallelism vs Model Parallelism, and explores Synchronous vs Asynchronous Data Parallelism. Mesh TensorFlow → https://goo.gle/3sFPrHw Distributed Training with Keras tutorial → https://goo.gle/3FE6QEa GCP Reduction Server Blog → […]

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39:58

A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck – #551

Today we’re joined by Sebastian Bubeck a sr principal research manager at Microsoft, and author of the paper A Universal Law of Robustness via Isoperimetry, a NeurIPS 2021 Outstanding Paper Award recipient. We begin our conversation with Sebastian with a bit of a primer on convex optimization, a topic that hasn’t come up much in […]

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53:18

Affective Computing: Opportunities and risks of emotional AI | CogX 2019

Join the CogX Global Leadership Summit and Festival of AI and Breakthroughs Technology – June 8th to 10th 2020 – https://cogx.co/ Subscribe to our epic newsletters for free https://cognitionx.com/newsletter-subscribe/ Affective Computing: Opportunities and risks of emotional AI. Presentation given at CogX 2019, on the Ethics Stage Lucia Komljen; Head of insight & Strategy for Product […]

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01:46:19

AI Enterprise Workflow Study Group – Course 6, Week 1

Filmed 05/16 YouTube Source for this AI Video

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37:11

AI for Ecology and Ecosystem Preservation with Bryan Carstens – #449

Today we’re joined by Bryan Carstens, a professor in the Department of Evolution, Ecology, and Organismal Biology & Head of the Tetrapod Division in the Museum of Biological Diversity at The Ohio State University. In our conversation with Bryan, who comes from a traditional biology background, we cover a ton of ground, including a foundational […]

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15:09

Applications of Deep Neural Networks Course Overview (1.1, Spring 2022)

Spring 2022 Version. Applications of deep neural networks is a course offered in a hybrid format by Washington University in St. Louis. This course introduces Keras deep neural networks and highlights applications that neural networks are particularly adept at handling compared to previous machine learning models. Deep learning is a group of exciting new technologies […]

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235

08:44

Artificial Intelligence will Take Over These Jobs in 2022

Robots taking advantage of the newest advances in Artificial Intelligence systems are expected to make a huge dent in the job market of 2022 as workers are wanting higher wages and better working conditions. These robots and AI’s outcompete and outright beat humans in many fields such as translation, self driving, news article reporting and […]

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14:54

Basic Hyperparameter Tuning in DeepMinds ACME Framework

In today’s ACME deep reinforcement learning framework tutorial, I will showy ou how to do some basic hyperparameter tuning in their built in Deep Q Learning agent. Learn how to turn deep reinforcement learning papers into code: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-AUG-2021 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-AUG-2021 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-AUG-2021 Reinforcement Learning Fundamentals […]

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51:19

Bighead: Airbnb's Machine Learning Platform with Atul Kale – TWiML Talk #198

In this episode of our AI Platforms series, we’re joined by Atul Kale, Engineering Manager on the machine learning infrastructure team at Airbnb. Atul and I met at the Strata Data conference a while back to discuss Airbnb’s internal machine learning platform, Bighead. In our conversation, Atul outlines the ML lifecycle at Airbnb and how […]

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32:27

Building Public Interest Technology with Meredith Broussard – 552

Today we’re joined by Meredith Broussard, an associate professor at NYU & research director at the NYU Alliance for Public Interest Technology. Meredith was a keynote speaker at the recent NeurIPS conference, and we had the pleasure of speaking with her to discuss her talk from the event, and her upcoming book, tentatively titled More […]

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38:19

CogX 2018 – Building a Digital Identity on Blockchain | CogX

Join the CogX Global Leadership Summit and Festival of AI and Breakthroughs Technology – June 8th to 10th 2020 – https://cogx.co/ Subscribe to our epic newsletters for free https://cognitionx.com/newsletter-subscribe/ CogX 2018 – Building a Digital Identity on Blockchain Hosted by Ton van’t Noordende, CEO, 01 Ventures Ryan Shea, Co-Founder, Blockstack Melanie Shapiro, Founder & CEO, […]

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263

20:11

Create a Task Manager App for the Terminal with Python (Rich, Typer, Sqlite3)

In this Python Tutorial we learn how to build a terminal application (CLI app) to manage our tasks and todos. We use Typer for building the CLI app, Rich for a colorized terminal output, and SQLite for the database. Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in […]

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41:53

Cutting Edge: Where will the next $100bn deep tech company come from?

Cutting Edge: Where will the next $100bn deep tech company come from? Featuring: Ian Hogarth – Angel Investor Kate Kallot – Head of Emerging Areas – Nvidia Gemma Milne – Writer, Broadcaster & Researcher – UCL (Moderator) #CogX2021 #JoinTheConversation YouTube Source for this AI Video

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280

03:09

DeepMind: The Podcast with Hannah Fry – Season 2 coming soon!

The chart-topping podcast which uncovers the extraordinary ways artificial intelligence (AI) is transforming our world is back for a second season. Join mathematician and broadcaster Professor Hannah Fry behind the scenes of world-leading AI research lab DeepMind to get the inside story of how AI is being created – and how it can benefit our […]

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52:36

Developing a Brain-Computer Interface Based on Visual Imagery

A brain-computer interface (BCI) is a technology to provide direct communication between the brain and an external device. In this project, we have utilized noninvasive electroencephalography (EEG) to record and decode neural activity during the observation and mental imagery of visual stimuli. Our platform has demonstrated successful discrimination between face and scene image categories during […]

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13:26

EAGER IN PRODUCTION | MICHAEL SUO

With TorchScript, PyTorch provides ease-of-use and flexibility in eager mode, while seamlessly transitioning to graph mode for speed, optimization, and functionality in C++ runtime environments. In this talk, Michael Suo (Software Engineer, Meta AI) covers our journey enabling PyTorch eager mode execution in production at Meta. He’ll also discuss the technical challenges involved in packaging, […]

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01:31

Embedding Invisible Codes in Objects for Augmented Reality

InfraredTags is a system for fabricating objects with embedded codes that are only visible to infrared cameras. These codes can be used for purposes such as metadata or interaction with devices through augmented reality. Read the technical paper: https://groups.csail.mit.edu/hcie/files/research-projects/infraredtags/2022-CHI-InfraredTags-paper.pdf YouTube Source for this AI Video

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09:00

FUNCTORCH | RICHARD ZOU & HORACE HE

functorch (https://github.com/pytorch/functorch) is a library of JAX-like composable function transforms for PyTorch. It aims to provide composable vmap (batching) and grad (autodiff) transforms that work with PyTorch modules and PyTorch autograd with good performance with or without a JIT compiler. In this talk, Richard Zou (Software Engineer, Meta AI) and Horace He (Software Engineer, Meta […]

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25:46

Getting Started with Encryption in 2022

When you think of encryption you probably think of highly comjplex algorithms like SHA-256, but you can actually get unbreakable encryption with only a few lines of python. We’ll see how in this tutorial. We are going to cover 3 of the fundamental algorithms in encryption: the Caesar cipher, the Vignere cipher, and the one […]

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