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Environment & Sustainability Stage [clear filter]
Thursday, January 24
 

1:20pm

Compère Welcome - Environment & Sustainability Stage
Speakers
avatar for Mark Crowley, University of Waterloo

Mark Crowley, University of Waterloo

Assistant Professor, University of Waterloo
Mark Crowley is an Assistant Professor in the Department of Electrical and Computer Engineering and the Waterloo Artificial Intelligence Institute at the University of Waterloo. He did a postdoc at Oregon State University with Tom Dietterich's machine learning group researching computational... Read More →


Thursday January 24, 2019 1:20pm - 1:30pm
Pacific B-C Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA

1:30pm

Computer Vision and Deep Learning for Coral Ecology
While coral reefs occupy less than 0.2% of the ocean bottom, they harbor 25% of the marine life and protect shorelines occupied by 200 million people. Globally, coral reefs are in rapid decline, and scientists, reef managers, and policy makers need accurate data about the state (species, coverage) and change of individual reefs. Photographic surveys are the primary source of raw data, and it is becoming cheaper and easier to acquire massive quantities of digital images with autonomous robotic underwater vehicles. Yet even for surveys conducted by scuba divers, manual image analysis is error prone and has become a time consuming and costly bottleneck.  Our work using computer vision and machine learning is breaking this bottleneck. 
 
Research from the UCSD Computer Vision for Coral Ecology Project has lead to new cameras, algorithms, software, and services. We have developed a series of methods for automatic annotation of benthic images and created CoralNet (coralnet.ucsd.edu) as a public, open source, hosted tool for scientists to upload their photo surveys and perform annotation using deep nets trained on their data. Through a comparative study published on PLOS ONE, CoralNet is as accurate at estimating coral coverage as human experts. To date CoralNet is being used by a thousand scientists who have uploaded over 750,000 images with over 27 million expert annotations. To increase accuracy further, we looked for stronger signals for classifying corals.  Using our wide field fluorescence imaging (Fluoris) camera, the error rate of deep nets applied to registered 5-channel RGB-Fluoro images decreased by 22%.

Speakers
avatar for David Kriegman, UCSD

David Kriegman, UCSD

Professor of Computer Science & Engineering, UCSD
David Kriegman is a Professor of Computer Science & Engineering at the University of California, San Diego. His core research is in computer vision and machine learning, which he has applied to face recognition, robotics, coral ecology, medical imaging, microscopy, and computer graphics... Read More →


Thursday January 24, 2019 1:30pm - 1:50pm
Pacific B-C Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA

1:50pm

Oscar, AI for Zero Waste
Majority of global waste, especially from developed countries, can be recycled however only 2% actually remains clean enough to be processed by material recovery facilities. Intuitive has developed Oscar, an AI module that is designed to reduce contamination at the source of disposal and increase the amount of waste diverted away from landfills, oceans or third world countries. This engaging user-nudging AI has been trained using deep learning algorithms to enable accurate object detection for a large variety of waste items to enable smarter zero waste spaces.

Speakers
avatar for Hassan Murad, Intuitive AI

Hassan Murad, Intuitive AI

CEO & Co-Founder, Intuitive AI
Hassan Murad is the CEO & Co-Founder of Intuitive AI where they are developing AI to empower a zero waste world. He was driven by the world’s massive waste problem to begin creating solutions along with co-founder, Vivek Vyas, and divert waste away from landfills, oceans or incineration... Read More →


Thursday January 24, 2019 1:50pm - 2:10pm
Pacific B-C Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA

2:10pm

Adaptation Through Learning:Using Machine Learning to Improve Forest Wildfire Management
Deep learning algorithms are being applied daily in ever more challenging domains, however in areas of huge societal importance such as ecology, sustainable resource management and environmental modelling, the analytical methods being used have not always caught up with the recent Deep Learning revolution. This is not surprising new methods are hard to master but also because these domains place very high demands on confidence and robustness that AI researchers rarely face with simpler validation domains. In this talk I will provide a window into this situation by looking at forest wildfire management as a case study of a rich domain where some work has been done but huge opportunities remain. Existing forest wildfire spread models are complex manual constructions that are struggling to adapt to changing climate as well as changing attitudes towards forests. What is needed are more adaptive models which fuse human experience, experimental data as well current satellite, aerial, weather and other data. Given the recent phase shift in the intensity of forest wildfires around the world, the urgency is increasing for more responsive predictive models and more powerful decision making tools. I will review the few machine learning approaches that have been applied to this important task and present some of our own work on using Deep Reinforcement Learning to learn fire spread prediction models directly from satellite imagery and simulations by treating fire as the agent that is choosing where to spread. This "learning of an agent-based model" approach could also apply to prediction and decision making for other instances of spatially spreading processes such as infectious disease and invasive species. Sustainability and environmental domains provide a great opportunity for the AI/ML community to step up and find solutions that will make a real difference to the lives of many people and the health of ecosystems.

Speakers
avatar for Mark Crowley, University of Waterloo

Mark Crowley, University of Waterloo

Assistant Professor, University of Waterloo
Mark Crowley is an Assistant Professor in the Department of Electrical and Computer Engineering and the Waterloo Artificial Intelligence Institute at the University of Waterloo. He did a postdoc at Oregon State University with Tom Dietterich's machine learning group researching computational... Read More →


Thursday January 24, 2019 2:10pm - 2:30pm
Pacific B-C Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA

2:30pm

Opportunities and Challenges: AI for the Environment & Sustainability
Speakers come together in this panel discussion to share their thoughts on the opportunities and limitations impacting the future of their progress in solving challenges for the planet.

Speakers
avatar for Hassan Murad, Intuitive AI

Hassan Murad, Intuitive AI

CEO & Co-Founder, Intuitive AI
Hassan Murad is the CEO & Co-Founder of Intuitive AI where they are developing AI to empower a zero waste world. He was driven by the world’s massive waste problem to begin creating solutions along with co-founder, Vivek Vyas, and divert waste away from landfills, oceans or incineration... Read More →
avatar for David Kriegman, UCSD

David Kriegman, UCSD

Professor of Computer Science & Engineering, UCSD
David Kriegman is a Professor of Computer Science & Engineering at the University of California, San Diego. His core research is in computer vision and machine learning, which he has applied to face recognition, robotics, coral ecology, medical imaging, microscopy, and computer graphics... Read More →
avatar for Mark Crowley, University of Waterloo

Mark Crowley, University of Waterloo

Assistant Professor, University of Waterloo
Mark Crowley is an Assistant Professor in the Department of Electrical and Computer Engineering and the Waterloo Artificial Intelligence Institute at the University of Waterloo. He did a postdoc at Oregon State University with Tom Dietterich's machine learning group researching computational... Read More →


Thursday January 24, 2019 2:30pm - 3:00pm
Pacific B-C Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA