Parisa Rashidi (@parisa__rashidi) 's Twitter Profile
Parisa Rashidi

@parisa__rashidi

Co-director of @UF_IC3 Center and director of @UFiHealLab. Medical AI. #AI4Health #ML4health. Opinions my own. She/her.

ID: 20343802

linkhttps://ic3.center.ufl.edu/ calendar_today08-02-2009 00:43:08

2,2K Tweet

1,1K Followers

1,1K Following

Parisa Rashidi (@parisa__rashidi) 's Twitter Profile Photo

Next year, it might be able to compete for the gold medal. With systems like this, a mathematician's role might shift from solving problems to identifying the most fruitful problems to solve. Would we still hold the International Mathematics Olympiad (IMO) 15 years from now?!

Parisa Rashidi (@parisa__rashidi) 's Twitter Profile Photo

This was bound to happen: Epic, the largest electronic health records company in the US, which holds data on over 75% of Americans, sued over monopolistic antitrust practices by Particle Health

Parisa Rashidi (@parisa__rashidi) 's Twitter Profile Photo

Hmm, the second AI Nobel Prize in AI! I thought there should be a math Nobel Prize, but maybe there is room for an AI Nobel Prize ?! who knows, perhaps the future winners will be AI agents themselves, Lol

Parisa Rashidi (@parisa__rashidi) 's Twitter Profile Photo

I don't agree with their recent 2024 AI Macroeconomics report, but I loved their books ("The Narrow Corridor" and "Why Nations Fail"). And the 2024 Economics Nobel Goes to... economicforces.xyz/p/and-the-2024…

Parisa Rashidi (@parisa__rashidi) 's Twitter Profile Photo

Congratulations, Christine E. Schmidt ! No easy feat to be elected to the NAE, and Christine continues to inspire us all with her groundbreaking work. Well deserved!

Pranav Rajpurkar (@pranavrajpurkar) 's Twitter Profile Photo

Our new Harvard/Stanford study out today in Nature Medicine! Our results show language models, while strong at medical exams, stumble when they need to gather patient information through natural conversation - a key finding as healthcare explores AI integration. How to solve?

Our new Harvard/Stanford study out today in Nature Medicine! Our results show language models, while strong at medical exams, stumble when they need to gather patient information through natural conversation - a key finding as healthcare explores AI integration. 
How to solve?
Parisa Rashidi (@parisa__rashidi) 's Twitter Profile Photo

Tuesday Surprise: Honored to receive the The White House #PECASE award; endless thanks to my amazing students, collaborators, and U.S. National Science Foundation + NIH for brewing this up. Proof that science + teamwork (and way too much tea ☕️) works! 🚀 whitehouse.gov/ostp/news-upda… FLORIDA UF Engineering University of Florida Research

Ahmed Ahmed (@ahmedsqrd) 's Twitter Profile Photo

🧵 1/ The rise of open-weight LLMs and platforms like HuggingFace raises interesting questions about the relationships between such models. Given a pair of models (i.e. Llama 1 vs Vicuna or Llama 3 vs Llama 2) what can we say about whether they were trained independently?

🧵 1/
The rise of open-weight LLMs and platforms like HuggingFace raises interesting questions about the relationships between such models. Given a pair of models (i.e. Llama 1 vs Vicuna or Llama 3 vs Llama 2) what can we say about whether they were trained independently?
Neel Das, PhD (@nilzkool) 's Twitter Profile Photo

A professor I know almost cried when she found that 40% of her 2nd-year CS students couldn’t write a basic For loop. Students are using AI to pass coding assignments without ever learning to code. Yet, they’re on track to graduate. Is the CS major becoming obsolete? 🧵

Ethan Mollick (@emollick) 's Twitter Profile Photo

If it turns out LLMs are only capable of recombinatory innovation (finding novel connections among existing knowledge), that would still be very useful. Most innovation is recombination and one of the big issues in science is that fields are too vast for scientists to bridge them

If it turns out LLMs are only capable of recombinatory innovation (finding novel connections among existing knowledge), that would still be very useful. Most innovation is recombination and one of the big issues in science is that fields are too vast for scientists to bridge them