{"author_name":"Paper Radio","author_url":"https://m.montaan.com/","height":720,"html":"<iframe src=\"https://m.montaan.com/embed/video/240999bd-7dde-43f1-a9d0-7c7160d62a96\" width=\"1280\" height=\"720\" title=\"Shortcomings and capacities of real-constrained neural networks in complex spaces — Paper Radio\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture\" allowfullscreen loading=\"lazy\" style=\"border:0;display:block;max-width:100%;\"></iframe>","provider_name":"Paper Radio","provider_url":"https://m.montaan.com/","thumbnail_url":"https://m.montaan.com/media/episodes/240999bd-7dde-43f1-a9d0-7c7160d62a96/episode.poster.webp","title":"Shortcomings and capacities of real-constrained neural networks in complex spaces","type":"video","version":"1.0","width":1280}