Shows
the brAIn - real AI intelligence for media & entertainmentGenerative AI & Copyright: Analysis of 10K+ Submissions on "Fair Use" (Key Themes, Sentiment)Peter Csathy's synthetic co-hosts summarize and discuss the new exclusive analysis by NYU Professors Howie Singer, Joao Sedoc, and Foster Provost of the 10,000+ submissions to the U.S. Copyright Office commenting on the question of copyrightability and fair use in the context of generative AI. This analysis is the first comprehensive analysis of every single submission, which was able to be done leveraging the power of AI (but with human quality control all along the way). NOTE: this episode was generated using Google NotebookLLM (and Peter listened to it - and approves its content as being an accurate discussion...
2025-01-2114 min
FEARLESS MEDIA: The Future Of Entertainment, Media & TechGenerative AI & Copyright: Analysis of 10K+ Submissions on "Fair Use" (Key Themes, Sentiment)Peter Csathy's synthetic co-hosts summarize and discuss the new exclusive analysis by NYU Professors Howie Singer, Joao Sedoc, and Foster Provost of the 10,000+ submissions to the U.S. Copyright Office commenting on the question of copyrightability and fair use in the context of generative AI. This analysis is the first comprehensive analysis of every single submission, which was able to be done leveraging the power of AI (but with human quality control all along the way). NOTE: this episode was generated using Google NotebookLLM (and Peter listened to it - and approves its content as being an accurate discussion...
2025-01-2114 min
Brain InspiredBI NMA 05: NLP and Generative Models PanelBI NMA 05:
NLP and Generative Models Panel
This is the 5th in a series of panel discussions in collaboration with Neuromatch Academy, the online computational neuroscience summer school. This is the 2nd of 3 in the deep learning series. In this episode, the panelists discuss their experiences “doing more with fewer parameters: Convnets, RNNs, attention & transformers, generative models (VAEs & GANs).
Panelists
Brad Wyble.
@bradpwyble.
Kyunghyun Cho.
@kchonyc.
He He.
@hhexiy.
João Sedoc.
@JoaoSedoc.
The other panels:
First panel, about model fitting, GLMs/machine learning, dimensionality reduction, and deep learning.
Second pan...
2021-08-131h 23