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02:36

SingularityNET: Catalyst Fund7 Proposal | NLP Applied to Conflict Resolution

NLP Applied to Conflict Resolution, Catalyst Fund7 Proposal – Problem Statement: Dispute resolution generally happens behind closed doors with no public insight into determining what is likely to support a good outcome. Solution: Developing ML NLP models to support better outcomes in conflict resolution. Cardano Full Proposal: https://cardano.ideascale.com/a/dtd/NLP-Applied-to-Conflict-Resolution/383548-48088 Additional Information: https://www.youtube.com/channel/UCvehpWzBd0nD47q9EGAg-sA 🦾SNET Blog: https://blog.singularitynet.io/singularitynet-cardano-fund7-challenge-proposal-concept-videos-4bec9baa7f35 —- […]
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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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29
29:08

Proximal Policy Optimization is Easy with Tensorflow 2 | PPO Tutorial

Proximal Policy Optimization (PPO) has emerged as a powerful on policy actor critic algorithm. You might think that implementing it is difficult, but in fact tensorflow 2 makes coding up a PPO agent relatively simple. We’re going to take advantage of my PyTorch code for this, as it serves as a great basis to expand […]
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9
01:23:09

Trends in NLP with John Bohannon – #550

Today we’re joined by friend of the show John Bohannon, the director of science at Primer AI, to help us showcase all of the great achievements and accomplishments in NLP in 2021! In our conversation, John shares his two major takeaways from last year, 1) NLP as we know it has changed, and we’re back […]
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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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22
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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09:51

INTRODUCING PYTORCH LIVE | RAZIEL ALVAREZ GUEVARA & ROMAN RÄDLE

PyTorch’s mission is to accelerate the path from research prototyping to production deployment. With the growing mobile ML ecosystem, this has never been more important than before. With the aim of helping reduce the friction for mobile developers to create novel ML-based solutions, we introduce PyTorch Live: a tool to build, test and (in the […]
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26:44

How to Code RL Agents Like DeepMind

DeepMind is known for leading the way in deep reinforcement learning research. Creating novel agents to conquer the most advanced environments requires the use of some sophisticated infrastructure. Fortunately for us mere mortals, they’ve open sourced their framework for designing deep reinforcement learning agents: ACME. In ACME, you’ll find everything from deep Q learning all […]
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36
08:13:12

SingularityNET: AGI-21 Conference Day 1 – Room 2 – NARS Tutorial and Workshop

This is a repost of Day 1 – Room 2. More info: http://agi-conf.org/2021/schedule/ —- SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol. We gathered the leading minds in machine learning and blockchain to democratize access to AI […]
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37
31:09

SingularityNET: Agent Based Modeling of COVID-19: Next Steps and Broader Implications – Dr. Ben Goertzel

➡️ COVID-19 Simulation Summit Playlist: https://www.youtube.com/playlist?list=PLAJnaovHtaFR5puHCN4W_4o8cgIHdawDb ——————————————— 👀 About the speaker Dr. Goertzel is one of the world’s foremost experts in Artificial General Intelligence, a subfield of AI oriented toward creating thinking machines with general cognitive capability at the human level and beyond. He has decades of expertise applying AI to practical problems in areas […]
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90
14:44

Simplified Machine Learning on mobile, browsers, and edge devices with on-device ML

Explore solutions from Google to train and run machine learning models on phones, mobile devices, browsers, and edge devices. Join us as we discuss turnkey API-based solutions for text recognition, NLP, pose detection, translation support, and more. We’ll also examine new, improved features of TensorFlow Lite (TFLite) and walk through a demo. Resources: Deploy machine […]
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3
49:44

Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick – #541

Today we’re joined by Doug Burdick, a principal research staff member at IBM Research. In a recent interview, Doug’s colleague Yunyao Li joined us to talk through some of the broader enterprise NLP problems she’s working on. One of those problems is making documents machine consumable, especially with the traditionally archival file type, the PDF. […]
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41:16

SingularityNET: Opening & Introductory Keynote – Dr. Ben Goertzel – COVID-19 Simulation Summit

➡️ COVID-19 Simulation Summit Playlist: https://www.youtube.com/playlist?list=PLAJnaovHtaFR5puHCN4W_4o8cgIHdawDb ——————————————— 👀 About the speaker Dr. Goertzel is one of the world’s foremost experts in Artificial General Intelligence, a subfield of AI oriented toward creating thinking machines with general cognitive capability at the human level and beyond. He has decades of expertise applying AI to practical problems in areas […]
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8
53:17

Building a Deep Tech Startup in NLP with Nasrin Mostafazadeh – #539

Today we’re joined by friend-of-the-show Nasrin Mostafazadeh, co-founder of Verneek. Though Verneek is still in stealth, Nasrin was gracious enough to share a bit about the company, including their goal of enabling anyone to make data informed decisions without the need for a technical background, through the use of innovative human-machine interfaces. In our conversation, […]

Cloud TPU v4: Fast, flexible, and easy-to-use ML accelerators

Cloud TPUs are enabling faster training of machine learning models and more flexible use cases, such as NLP as well as easy-to-use APIs. With the new Cloud TPU v4 and the new TPU VM experience you can now use TensorFlow, JAX, and PyTorch to train your machine learning models as if you have a super […]

Step-by-Step Natural Language Processing Workshop: From Data to Deployment

Join us for a live, interactive workshop on how to build and deploy a virtual chatbot using Natural Language Processing (NLP). The 1 hour hands-on session will be hosted by Greg Loughnane (PhD) (https://www.linkedin.com/in/gregloughnane/), Lead Instructor at FourthBrain’s Live MLOps program. Greg will walk through both the business application and the stack of ML tools […]
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3
56:37

Four Key Tools for Robust Enterprise NLP with Yunyao Li – #537

Today we’re joined by Yunyao Li, a senior research manager at IBM Research. Yunyao is in a somewhat unique position at IBM, addressing the challenges of enterprise NLP in a traditional research environment, while also having customer engagement responsibilities. In our conversation with Yunyao, we explore the challenges associated with productizing NLP in the enterprise, […]
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21
08:24

Announcing the RTX 3090 Winner

The time has come to announce the winner of the giveaway. I’m giving away 5 courses, a swag bag, and an RTX 3090. The GPU and swag are only for US based viewers, due to the current situation with supply chains / all the issues in the world. Congratulations to all our winners! Learn how […]
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01:35:43

Machine Learning with Phil Live Stream

GTC 2021 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 https://www.manning.com/livevideo/reinforcement-learning-in-motion Here are some books / courses I recommend (affiliate links): Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W Grokking Deep Learning: https://bit.ly/3yJ14gT Grokking Deep Reinforcement Learning: […]
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0
16:29

Research Talk: Enhancing the robustness of massive language models via invariant risk minimization

Speaker: Robert West, Tenure-Track Assistant Professor, EPFL Despite the dramatic recent progress in natural language processing (NLP) afforded by large pretrained language models, important limitations remain. A growing body of work demonstrates that such models are easily fooled by adversarial attacks and have poor out-of-distribution generalization, as they tend to learn spurious, non-causal correlations. This […]
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0
03:02

Closing Remarks: Responsible AI

Speaker: Ece Kamar, Partner Research Manager, Microsoft Research Redmond As we’ve seen in countless media articles, AI systems can behave unfairly or unreliably. They can generate undesirable or harmful content, and they can reproduce or exacerbate existing social inequities. This track explores the complex societal implications of AI, machine learning, and natural language processing. Learn […]
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0
03:08

Opening Remarks: Responsible AI

Speaker: Hanna Wallach, Partner Research Manager, Microsoft Research NYC As we’ve seen in countless media articles, AI systems can behave unfairly or unreliably. They can generate undesirable or harmful content, and they can reproduce or exacerbate existing social inequities. This track explores the complex societal implications of AI, machine learning, and natural language processing. Learn […]
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0

Panel Discussion: Large-scale neural platform models: Opportunities, concerns, and directions

Speakers: Eric Horvitz, Chief Scientific Officer, Microsoft Miles Brundage, Head of Policy Research, OpenAI Yejin Choi, Professor, University of Washington / AI2 Percy Liang, Associate Professor, Standord University Large-scale, pretrained neural models are driving significant research and development across multiple AI areas. They have played a major role in research efforts and have been at […]