Uploaded June 2020 | Updated September 2026, 3 days ago
In late April, 2020, AI scientists around the world gathered in virtual attendance for the International Conference on Learning Representations (ICLR). The conference focuses on the advancement of artificial intelligence, statistics, and data science, as well as areas like computer vision, computational biology, speech recognition, text understanding, gaming, and robotics. Michael I. Jordan, Amazon scholar and UC Berkeley professor, delivered a keynote talk on the complexities of making AI a field capable of designing planetary-scale systems that can help humans at scale. Read more: https://www.amazon.science/videos-webinars/making-ai-a-planetary-scale-system
Website: https://www.amazon.science
Twitter: twitter.com/AmazonScience
Facebook: facebook.com/AmazonScience
Instagram: instagram.com/AmazonScience
LinkedIn: linkedin.com/showcase/AmazonScience
In late April, 2020, AI scientists around the world gathered in virtual attendance for the International Conference on Learning Representations (ICLR). The conference focuses on the advancement of artificial intelligence, statistics, and data science, as well as areas like computer vision, computational biology, speech recognition, text understanding, gaming, and robotics. Michael I. Jordan, Amazon scholar and UC Berkeley professor, delivered a keynote talk on the complexities of making AI a field capable of designing planetary-scale systems that can help humans at scale. Read more: https://www.amazon.science/videos-webinars/making-ai-a-planetary-scale-system
Website: https://www.amazon.science
Twitter: twitter.com/AmazonScience
Facebook: facebook.com/AmazonScience
Instagram: instagram.com/AmazonScience
LinkedIn: linkedin.com/showcase/AmazonScience










