{"id":668,"date":"2020-12-10T14:55:39","date_gmt":"2020-12-10T14:55:39","guid":{"rendered":"https:\/\/machine-learning.webcloning.com\/2020\/12\/10\/behind-the-scenes-at-neurips-with-nvidia-and-caltechs-anima-anandkumar\/"},"modified":"2020-12-10T14:55:39","modified_gmt":"2020-12-10T14:55:39","slug":"behind-the-scenes-at-neurips-with-nvidia-and-caltechs-anima-anandkumar","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2020\/12\/10\/behind-the-scenes-at-neurips-with-nvidia-and-caltechs-anima-anandkumar\/","title":{"rendered":"Behind the Scenes at NeurIPS with NVIDIA and CalTech\u2019s Anima Anandkumar"},"content":{"rendered":"
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Anima Anandkumar is setting a personal record this week with seven of her team\u2019s research papers accepted to NeurIPS 2020<\/a>.<\/p>\n

The 34th annual Neural Information Processing Systems conference is taking place virtually from Dec. 6-12. The premier event on neural networks, NeurIPS draws thousands of the world\u2019s best researchers every year.<\/p>\n

Anandkumar, NVIDIA\u2019s director of machine learning research and Bren professor at CalTech\u2019s CMS Department, joined AI Podcast<\/a> host Noah Kravitz to talk about what to expect at the conference, and to explain what she sees as the future of AI.<\/p>\n

The papers that Anandkumar and her teams at both NVIDIA and CalTech will be presenting are focused on topics including how to design more robust priors that improve network perception and how to create useful benchmarks to evaluate where neural networks need to improve.<\/p>\n

In terms of what Anandkumar is focused on going forward, she continues to work on the transition from supervised to unsupervised and self-supervised learning, which she views as the key to next-generation AI.<\/p>\n

Key Points From This Episode:<\/b><\/h2>\n