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7 must-see presentations from the AWS re:Invent 2019 AI Summit

Spotting deepfakes, indoor farming, precision cancer treatment, and more.

  1. We’ve handpicked seven insightful talks from the AWS re:Invent 2019 AI Summit to showcase how machine learning and AI are helping drive innovation in a wide variety of fields like medicine, media and urban planning. Pietro Perona, Amazon Fellow, AWS also explores the role of machine learning in society to understand, measure, and systematically mitigate bias in machine learning models, and drive fairness in AI.

  2. Deepfakes, audiofakes, and the future of media

    Deepfakes, or AI-generated images, have captured the public imagination with examples of image and video manipulation that was the purview of artists and movie studios until recently. Deepfakes along with their audio analog -- audiofakes -- have the potential to create an "information disorder" where it can become impossible to discern if a piece of content is real. In this talk, Delip Rao, vice president, research, AI Foundation, contextualizes multimedia fakes in the broader misinformation landscape and explores some state-of-the-art solutions for detecting deepfakes and audiofakes.

    AWS re:Invent 2019: Deepfakes, audiofakes, and the future of media (MLS210-5)

  3. Precision Medicine and positive outcomes

    Raphael Gottardo from Fred Hutch explains how the combination of machine learning and deep neural networks is helping researchers tailor immunotherapies to cancer patients.

    AWS re:Invent 2019: How ML can Help Tailor Immunotherapies to Cancer Patients (MLS210-1)

  4. From seed to store: AI to optimize the indoor farms of the future

    For the last 10,000 years, large scale agriculture has lived outdoors, optimized to withstand unpredictable environmental conditions and long supply chains. But what possibilities can you unlock when you can control every single environmental factor, from the light intensity to nutrient mix to air flow? In this talk, Bowery Farming EVP of science & technology, Henry Sztul, shares how machine learning and computer vision can be used in indoor vertical farms to optimize and scale agricultural production, creating higher yielding, better tasting, safer and more sustainably locally grown produce in cities around the world.

    AWS re:Invent 2019: From seed to store: AI to optimize the indoor farms of the future (MLS210-6)

  5. Big data for tiny patients: Applying ML to pediatrics

    Despite the increase of machine learning applications in research and clinical care, there is minimal work being done specifically in pediatrics, which presents a unique environment compared to adult care. Dr. Judith Dexheimer, associate professor, University of Cincinnati, discusses the role and impact of AI and ML in research with electronic health records, explores unique aspects of conducting work in pediatrics with biomedical informatics, and examines what is being done now with ML and what the future might hold.

    AWS re:Invent 2019: Big data for tiny patients: Applying ML to pediatrics (MLS210-7)

  6. Building the smart cities of tomorrow

    AI and machine learning can play a powerful role in helping connected cities become smarter, cleaner, and more efficient. In this session, Guido Jouret, chief digital officer, ABB, discusses how advanced analytical systems can optimize smart city operations—from waste disposal to transportation to energy distribution.

    AWS re:Invent 2019: AI will drive the industrial IoT to the cloud (MLS210-3)

  7. Deep learning in deep nets: Helping fish farmers feed the world

    70% of the world is covered by water, yet the ocean provides only 5% of the world's protein. However, fish farming is the fastest growing sector of food production. In this talk, Bryton Shang, founder and CEO, Aquabyte, shares how his organization is building IoT computer vision and machine learning software for the next generation of fish farming. Aquabyte uses real-time fish farming data to understand fish growth, optimize fish farming operations, and provide a more environmentally sustainable source of protein in the long-term.

    AWS re:Invent 2019: Deep learning in deep nets: Helping fish farmers feed the world (MLS210-4)

  8. Machine learning and society: Bias, fairness and explainability

    Using real world examples, Pietro Perona, Amazon Fellow, AWS, explores the role of Machine Learning in society today to understand, measure, and systematically mitigate bias in machine learning models. Understanding the current landscape helps to ensure we are developing this technology in a responsible way, by working to support fairness and explainability.

    AWS re:Invent 2019: Machine learning and society: Bias, fairness, and explainability (MLS210-8)


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US, WA, Seattle
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US, WA, Seattle
Want to help Amazon tell its customer-centric story around the world and work in a highly cross-functional environment including economists, lawyers, scientists, public policy, public relations, and business teams? If yes, keep reading!Amazon’s Litigation & Regulatory team is looking for an economist to help develop economic models and evidence to support legal and regulatory matters across all lines of our business worldwide, including retail, marketplace services, AWS, consumer experience, shopping and search, and operations. In this role, you will join a team of economists, engineers, and lawyers working to drive deeper understanding of Amazon and the benefits it delivers for customers and other businesses around the world.In this role, you will:· Provide data-driven guidance and recommendations on strategic legal and regulatory questions facing Amazon, including worldwide competition.· Conduct, direct, and coordinate all phases of research projects, including defining key research questions, working with multiple data sources, evaluating methodology and design, executing or directing analysis, and communicating results in oral and written form to a wider audience.· Interface with teams across Amazon to synthesize business facts and data into compelling economic narratives.· Provide economic advice and counsel to stakeholders across Amazon on a broad spectrum of novel and complex economic issues.· Assess risks and coordinate with senior leadership on risk management.· Identify opportunities to drive deeper economic understanding of market dynamics.· Synthesize and translate complex findings into relevant and actionable insights.· Collaborate with economists, scientists, engineers, and non-technical partners throughout Amazon’s worldwide operations to deliver projects with global scope.· Communicate your findings to a wide group of internal and external stakeholders from all disciplines.If you are a high-judgment economist with a passion for engaging in the current policy debate, love writing and communicating economic ideas to non-technical audiences, have a knack for quickly distilling facts and data into the most important takeaways, know how to deliver results with accuracy and speed, and you have a quantitative, highly innovative approach to solving problems, we want to talk to you.
US, MA, Cambridge
A part of Amazon's Robotics Artificial Intelligence, Canvas Technology is using spatial AI to provide end-to-end autonomous delivery of goods. By using state-of-the-art cameras and other sensors, the system perceives its surroundings with unrivaled vision and fidelity. The system combines a mix of high-performance sensors with simultaneous localization and mapping software that builds and continuously updates maps in real-time, completely automatically. It has the capability to ‘see’ and identify different objects, people, vehicles, and places as it moves and react to moving people and vehicles in an intelligent way.We are seeking an experienced Manager of Applied Science to help guide and lead our team of motion planning scientists and engineers. In this role, you will be expected to help define a team direction for robot planning algorithms, object avoidance and congestion management strategies. This will include providing guidance on system architecture and algorithm selection or design. This is not solely a management role, you will be directly contributing to the implementation while you lead. A successful candidate will have strong technical ability, scientific vision, excellent project management skills, great communication skills, and a motivation to achieve results in a fast paced environment.You will be an integral part of the core robotics team and work with others to implement robot motion planning systems above and beyond the current state-of-the-art in the field.If you are an experienced Applied Science Manager, have a track record of delivering to timelines with high quality, are comfortable providing technical direction, have mentored and grown engineers and are deeply technical and innovative, we want to talk to you.