Uploaded February 2025 | Updated September 2026, 2 weeks ago
Hospital shows have long been a staple of both daytime soaps and primetime prestige television, and nursing professor Michele Crespo-Fierro has enjoyed many over the years, especially when plotlines have tackled real-world issues such as HIV care. But she can't help pointing out a few things that the genre tends to get wrong about her profession, from workplace dynamics and labor conditions to education and credentialing.
Hospital shows have long been a staple of both daytime soaps and primetime prestige television, and nursing professor Michele Crespo-Fierro has enjoyed many over the years, especially when plotlines have tackled real-world issues such as HIV care. But she can't help pointing out a few things that the genre tends to get wrong about her profession, from workplace dynamics and labor conditions to education and credentialing.








![How Naturalistic Learning Algorithm PooDLe Works
Most AI systems trained on carefully curated datasets struggle when faced with the messy reality of naturalistic video. PooDLe [https://arxiv.org/abs/2408.11208], a newly published work, addresses this problem.
“We were interested in building embodied learning algorithms that could learn directly from video streams. Says Mengye Ren, author of the paper and assistant professor of computer science and data science at NYU.
The algorithms name comes from a combination of a pooled loss function and a dense loss function used in PooDLes architecture.
Visit nyu.edu/news for updates on this story and more. How Naturalistic Learning Algorithm PooDLe Works](https://i.ytimg.com/vi/uUotGDIibu8/mqdefault.jpg)

