December 6th, 2022
H2O.ai at NeurIPS 2022RSS Share Category: AI for Good, Data Science, Machine Learning
By: Marcos V. Conde
H2O.ai is proud to participate in the 36th Conference on Neural Information Processing Systems (NeurIPS) 2022, one of the biggest and most prestigious international conferences in artificial intelligence.
NeurIPS 2022 will be a Hybrid Conference from Monday, November 28th through Friday, December 9th, with an in-person event at the New Orleans Convention Center during the first week, and a virtual event the next week.
At the following workshops, we will discuss our vision of AI for good research, from tackling climate change to designing responsible machine learning systems.
Challenges in Deploying and monitoring Machine Learning SystemsOrganized by: Alessandra Tosi, Andrei Paleyes, Christian Cabrera, Fariba Yousefi, S Roberts
Navdeep Gill (Engineering Lead at H2O) will take part in the panel discussion: Security and privacy in machine learning systems.
Tackling Climate Change with Machine Learning
Organized by: Peetak Mitra, Maria João Sousa, Mark Roth, Jan Drgona, Emma Strubell, Yoshua Bengio
Marcos V. Conde and Dmitry Gordeev present our work “Accessible Large-Scale Plant Pathology Recognition”.
Plant diseases are costly and threaten agricultural production and food security worldwide. Climate change is increasing the frequency and severity of plant diseases and pests. Therefore, detection and early remediation can have a significant impact, especially in developing countries.
Trustworthy and Socially Responsible Machine Learning (TSRML)
Organized by: Huan Zhang, Linyi Li, Chaowei Xiao, J. Zico Kolter, Anima Anandkumar, Bo Li
Navdeep Gill, Abhishek Mathur and Marcos V. Conde present “A Brief Overview of AI Governance for Responsible Machine Learning Systems”
In this paper, we discuss the framework and value of AI Governance for organizations of all sizes, across all industries and domains.
H2O.ai is committed to promoting AI for good research related to safety and trustworthy machine learning, machine learning applied to natural sciences and medicine, and efficient solutions to tackle climate change.
We are open to sponsor workshops in the next year’s edition!