{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"In AI We Trust?","title":"Anima Anandkumar: How can the intersection of academia and industry inform the next generation of AI?","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/13328f68\"></iframe>","width":"100%","height":180,"duration":2376,"description":"Anima Anandkumar is an accomplished AI researcher in both academia and in industry. She is the Bren professor at Caltech CMS department and director of machine learning research at NVIDIA. Previously, Anima was a principal scientist at Amazon Web Service, where she enabled machine learning on the cloud infrastructure. Anima is the recipient of numerous awards and honors and has been featured in documentaries and articles by PBS, Wired, MIT Technology review, Forbes and many others. In this episode we learn about the “trinity of the deep learning revolution,” how the next generation of AI will bring the “mind & body” together, and the detrimental impacts fostered by a lack of diversity in tech.\r\n\r\n-----\r\n\r\nTo learn more about EqualAI, visit our website: https://www.equalai.org/\r\nYou can also follow us on Twitter: @ai_equal","thumbnail_url":"https://img.transistorcdn.com/86AOlOy5hqh8t2oAwzYCEOPAUqjz7GRbOCwEgV4UnNs/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzE5MDc2LzE2MTUz/OTEyODAtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}