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Applied Natural Language Understanding: Topic modeling for text insights -  Going from LDA to using advances in language models

Applied Natural Language Understanding: Topic modeling for text insights - Going from LDA to using advances in language models

Emad Mostaque (Stability AI): Democratizing AI, Stable Diffusion & Generative Models

Emad Mostaque (Stability AI): Democratizing AI, Stable Diffusion & Generative Models

Emad Mostaque & Alexandr Wang

Popular topics
# Fireside Chat
# TransformX 2022
# TransformX 2021
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# Breakout Session
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# AI in Healthcare
# Natural Language Processing (NLP)
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All (287)
Video (172)
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Most Recent
David Marra
Mark Valentine
David Marra & Mark Valentine · Nov 17th, 2022

Microsoft and Mixed Reality: AI Revolutionizing Productivity of the Frontline

Dave Marra leads AI and Mixed Reality initiatives at Microsoft. As a solutions-focused leader, he's dedicated to leveraging developments in ML technology to revolutionize the productivity of the most technologically underserved segment of the population-the frontline workers. Dave is focused on connecting modern day productivity tools to the people that actually use the tools: soldiers, facility workers, and a range of technicians. In this talk observe why Dave challenges the notion of a paradigm shift away from hardware to privilege software as he describes a deeply interdependent relationship between the two, and increased access and availability to hardware. AI Exchange will also host special guest, Mark Valentine, former US Air Force Commander, and General Manager of National Security at Microsoft, where Mark and Dave were colleagues. Hosted by Scale's Director of Machine Learning and Engineering, Elliot Branson, this is sure to be an unforgettable talk that will open our eyes to the ways AI can elevate the quality of life and productivity for everyday people performing the work that keeps our society running.
Microsoft and Mixed Reality: AI Revolutionizing Productivity of the Frontline
Alexandr Wang
Alexandr Wang · Oct 24th, 2022

Applying AI to Redefine Every Industry

Leading organizations across every industry also need to be technology leaders, and today that means leveraging AI. Organizations applying AI don't necessarily have AI expertise, but they are prepared to leverage AI as a strategic asset for their innovation and product strategies. Many of these companies are looking for established use cases to supercharge their products, operations, and business lines. This is where pre-trained models create an opportunity for organizations without the resources and expertise build their own AI. Alexandr Wang, Scale’s CEO and Co-Founder, will outline how Scale’s product investments are helping all types of organizations and teams apply and create their own AI. Wang will also share how the latest advancements in AI allow next-generation models to be more versatile and attuned to specific business needs that weren’t possible before. He will explain why foundation models are the most exciting advancement happening in AI, and how Scale can help advance foundation models, especially as it applies to tuning these models to make them useful for specific tasks and industries including insurance, defense, logistics and many others. Wang founded Scale while a 19-year-old student to help companies build long-term AI strategies with the right data and infrastructure. Under his leadership, Scale has grown to be valued as a $7 billion company serving hundreds of customers across industries from finance to e-commerce to U.S. government agencies.
# TransformX 2022
# Keynote
# Enterprise AI
Applying AI to Redefine Every Industry
Dragomir Anguelov
Marco Pavone
Alex Kendall
Kate Park
Dragomir Anguelov, Marco Pavone, Alex Kendall & Kate Park · Oct 24th, 2022

Overcoming the Most Difficult Challenges in Autonomous Vehicles

Experts working on autonomous vehicles will discuss the rapid pace of research and innovation in machine learning, highlighting the most exciting developments over the last few years and how they approach incorporating the constant advances into an autonomous vehicle safely. The panelists are industry leaders working at NVIDIA, Tesla, Waymo, and Wayve. They will also discuss the unique approaches each OEM takes to leverage machine learning in its self-driving stack, with some using end-to-end learning and others preferring modular learning, and each method's advantages and disadvantages. They will also discuss best practices for integrating complicated sensor suites, software, data management, and machine learning with engineering. Other challenges they will cover include collecting large amounts of data, managing, and labeling datasets, integrating ML models with the rest of the self-driving stack, and how to improve the driver continuously. They will also discuss the critical role of simulation in development, and the current state of self-driving cars and the most difficult challenges they face today, including scaling to new environments quickly.
# TransformX 2022
# Expert Panel
# Autonomous Vehicles
# Computer Vision
Overcoming the Most Difficult Challenges in Autonomous Vehicles
Dr. Kenneth E. Washington
Vijay Karunamurthy
Dr. Kenneth E. Washington & Vijay Karunamurthy · Oct 24th, 2022

Building Amazon Astro: The First Multi-Purpose Home Robot

Over the past couple of years, the consumer robotic market has seen rapid adoption due to the pandemic and dropping prices, and the market is expected to grow at a CAGR of almost 31% through 2027. Last year, Amazon announced Astro, a new household robot for home monitoring that combined AI, computer vision, sensor technology, and voice and edge computing. Astro brought new advances to the consumer robotic market around human-robot interaction and multimodal AI. In this fireside chat, Dr. Ken Washington, VP of Software Engineering for Consumer Robotics, will discuss scaling robotics at Amazon and new features in Astro that are novel in the areas of computer vision, perception training, and mapping. Dr. Washington is joined by Vijay Karunamurthy, Head of Engineering at Scale AI, to discuss the future of robotics at Amazon and the new AI technologies evolving with consumer robotics. Before joining Amazon, Dr. Washington was CTO at Ford Motor Company, where his portfolio included propulsion systems, sustainable and advanced materials, additive manufacturing, next-gen vehicle architectures, controls, and automated systems. Dr. Washington also served as Lockheed Martin Corporation’s first chief privacy officer and as CIO for Sandia National Laboratories. In addition to his election to the NAE in 2020, he received the 2012 Black Engineer of the Year Award in Research Leadership.
# TransformX 2022
# Fireside Chat
# Computer Vision
# Robotics
Building Amazon Astro: The First Multi-Purpose Home Robot
James Manyika
Alexandr Wang
James Manyika & Alexandr Wang · Oct 24th, 2022

James Manyika: Extending AI's Benefits to Society as a Whole

James Manyika, Senior Vice President for Technology and Society at Google, will sit down with Alexandr Wang, Scale founder and CEO, to discuss the best ways to ensure that AI models assist work and grow the economy, even as they replace certain mundane tasks. Manyika will describe how prioritizing utility and focusing on harm reduction should be at the core of principled use and deployment of AI. Manyika will point out the need to allow people to know whether they are interacting with an AI agent or a human, versus scenarios in which it’s permissible to use algorithms and human workers interchangeably. Learn how to adapt to new forms of work and activities that evolve as AI systems become more capable, how to develop AI policy to ensure no harm comes from the use of AI, and about the geopolitical impact and importance of AI principles. Manyika will also discuss his recent work for the Academy of Arts and Sciences, as editor of the Spring 2022 issue of Dædalus. For this journal, he invited a number of noted AI researchers and tech luminaries to write about different aspects of AI and society, including how the technology is being used for climate change, healthcare, and the economy—particularly how it can be made even better in those use cases.
# TransformX 2022
# Fireside Chat
# AI Policy & Governance
James Manyika: Extending AI's Benefits to Society as a Whole
Admiral William H. McRaven
Alexandr Wang
Admiral William H. McRaven & Alexandr Wang · Oct 24th, 2022

Admiral McRaven: Why the U.S. Must Win the Global Innovation Race

Admiral William H. McRaven, a retired Navy four-star admiral and former SEAL, sits down with Scale Founder and CEO Alexandr Wang to discuss why America must regain its dominance in technology innovation – and how, by acting decisively, it can do so. In recent years, some other countries have outspent the U.S., but an effective policy is about much more than budgetary considerations. Admiral McRaven discusses leadership lessons that apply to technology strategy based upon his decades of experience in special operations, his combat during Desert Storm and the Iraq and Afghanistan wars, his organization and leadership of the team that captured Osama bin Laden, and his years of advising U.S. presidents George W. Bush and Barack Obama on defense issues. The Admiral has also written several books that wound up on The New York Times’ best-seller list, including Sea Stories: My Life in Special Operations; The Hero Code: Lessons Learned from Lives Well Lived; and Make Your Bed: Little Things That Can Change Your Life…And Maybe the World. The last was originally a commencement speech that the admiral repurposed into a book. Admiral McRaven is on the boards of the Council on Foreign Relations (CFR), the National Football Foundation, the International Crisis Group, The Mission Continues, and ConocoPhillips.
# TransformX 2022
# Fireside Chat
# AI Policy & Governance
# AI in National Security
Admiral McRaven: Why the U.S. Must Win the Global Innovation Race
Jeff Wilke
Alexandr Wang
Jeff Wilke & Alexandr Wang · Oct 24th, 2022

Inside Amazon’s AI-Powered eCommerce Growth

Jeff Wilke is chairman and co-founder of Re-Build Manufacturing, a private company helping to bolster America’s industrial competitiveness. Before taking on this role, Wilke spent more than 21 years at Amazon, most recently as CEO of Worldwide Consumer, where he grew the business from $1 billion to a mind-boggling $386 billion a year. He spent his first seven years at Amazon building global operations. Wilke brings a wealth of knowledge across areas including supply chain, retail, and operations. Wilke speaks with Scale CEO Alexandr Wang to discuss his journey at Amazon and covers how focusing on data and building models can help power eCommerce marketplaces. Learn how Wilke applied AI across the entire eCommerce stack and created an authoritative and comprehensive product catalog with more than 12 million listings. He will also share his predictions about the future of AI and sustainability. Wilke is an active philanthropist and mentor of startup founders who identify as female and/or People of Color. He is Vice Chairman of Code.org and Chairman of the U.S. Government’s Advisory Committee on Supply Chain Competitiveness.
# TransformX 2022
# Fireside Chat
# AI in Retail & eCommerce
Inside Amazon’s AI-Powered eCommerce Growth
Modern medicine has provided effective tools to treat some of humanity’s most significant and burdensome diseases. At the same time, it is becoming consistently more challenging and more expensive to develop new therapeutics. The drug development process involves multiple steps, each of which requires a complex and protracted experiment that often fails. Insitro CEO and Founder Daphne Koller believes that, for many of these phases, machine learning models can help predict the outcome of the experiments and that those models, while inevitably imperfect, can outperform predictions based on traditional heuristics. In this keynote, Koller discusses how Insitro is bringing together high-quality data from human cohorts, while also developing cutting-edge methods in high-throughput biology and chemistry that can produce massive amounts of in vitro data relevant to human disease and therapeutic interventions. Koller also covers how the data is then used to train machine learning models that make predictions about novel targets, coherent patient segments, and the clinical effect of molecules. Insitro’s ultimate goal is to develop a new approach to drug development that uses high-quality data and ML models to design novel, safe, and effective therapies that help more people faster, and at a lower cost. Koller also co-founded Engageli and has served as the co-CEO and President of Coursera. She received the MacArthur Foundation Fellowship in 2004 and the ACM Prize in Computing in 2008, and was elected a fellow of the American Association for Artificial Intelligence in 2004, in addition to receiving many other honors and awards.
# TransformX 2022
# Keynote
# AI in Healthcare
Daphne Koller: AI-Driven Drug Discovery Using Digital Biology
Curtis Huang
Tony Jebara
Curtis Huang & Tony Jebara · Oct 21st, 2022

How Spotify & Snap Use ML for Recommendation Systems

Content comes in many forms—from traditional media with professionally developed content to social media with user-generated content, and everything in between. Over the past decade, media platforms have evolved significantly to keep up with the pace of newly developing content and content trends. For example, social media now support multiple forms of content, including images and short-form video, and traditional media platforms have expanded to support in-house content and streamed content. This expert panel will explore the importance of recommendation systems, discuss the importance of the data that powers these systems in the ever-evolving media platform experience, and cover how and why recommendation systems are so critical for growing media-based businesses.
# TransformX 2022
# Expert Panel
# AI in Retail & eCommerce
How Spotify & Snap Use ML for Recommendation Systems
Susan Zhang
Faisal Siddiqi
Bryan Catanzaro
Erhan Bas
Elliot Branson
Susan Zhang, Faisal Siddiqi, Bryan Catanzaro, Erhan Bas & Elliot Branson · Oct 21st, 2022

Top Tips from Netflix, NVIDIA, and Meta on Large Language Models (LLMs)

Join this enterprise-focused, spirited discussion on how best to train, use, and fine-tune foundation models in the enterprise. Elliot Branson, Director of Machine Learning & Engineering, Scale AI, will moderate the panel with industry experts from AWS, NVIDIA, Netflix, and Meta. Erhan Bas, formerly Applied Scientist at Amazon Web Services and now at Scale, shares his perspective on training large language models (LLMs). Bryan Catanzaro, Vice President of Applied Deep Learning Research at NVIDIA, shares how the GPU manufacturer is targeting foundation models as a core workflow for enterprise customers. Faisal Siddiqi, Director of Machine Learning Platform at Netflix, will share how his company is using foundation models to analyze highly produced video content. Susan Zhang, Researcher at Facebook AI Research (FAIR), a division of Meta, will share insights from training and fine-tuning Meta’s OPT model. Members of the panel will share how they scale their training across multiple nodes, attempt to avoid overfitting by mitigating data quality issues early on, and address bias in models trained on a large internet-based text corpus. The panelists will discuss the compute cost inherent in training an LLM from scratch, how to avoid costly and tedious hyperparameter optimization, the need to mitigate training failure risk in clusters with thousands of GPUs, including sticking to synchronous gradient descent, and the need for extremely fast storage devices to save and load training checkpoints.
# TransformX 2022
# Expert Panel
# Large Language Models (LLMs)
# Natural Language Processing (NLP)
Top Tips from Netflix, NVIDIA, and Meta on Large Language Models (LLMs)
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