Connectomics and biological intelligence
Cambridge, MA
Joined June 2020
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Yangning Lu retweeted
Poor Yitang Zhang. He spent years working in fast food after his PhD, and was homeless at one point, until his famous breakthrough with the twin prime conjecture. It's clear that his advisor Moh absolutely resented him (for whatever reason) and did everything possible to sabotage his career.
Sadly these stories are common in academia, and often lack a happy ending. It takes a generational hater to shit on a former student 2 decades later when they found success.
In this game, it's an open secret that unscrupulous advisors may deliberately set certain students up for failure by assigning impossible problems that are expected to go nowhere. We can only speculate but: Moh was one of the main contributors to the reputation of the Jacobian Conjecture as a notoriously difficult problem that defeated the best mathematicians; a problem believed to be well above the capabilities of a grad student. Tbh the layers to this messy backstory makes the LLM counterexample even more crazy.
Yangning Lu retweeted
Final exam at Fudan: students don't answer questions. They write them — to stump AI.
51 students, 10 questions each, 3 AI models (Claude, DeepSeek, MiniMax) on the hot seat. The harder you make AI fail, the higher your grade.
Yangning Lu retweeted
Today we welcome #UofT's 17th president, Melanie Woodin. An internationally recognized neuroscientist and double graduate of U of T, Woodin starts a new chapter on her first day in office. ➡️ president.utoronto.ca
ALT Image shows Melanie Woodin
ALT Image shows Melanie Woodin
ALT Image shows Melanie Woodin
ALT Image shows Melanie Woodin
Yangning Lu retweeted
Please read our statement on the remarks made by Dr. Rosalind Picard at her NeurIPS 2024 invited talk and our commitment to respect, inclusivity, and upholding our values:
neurips.cc/Conferences/2024/…
Yangning Lu retweeted
NeurIPS acknowledges that the cultural generalization made by the keynote speaker today reinforces implicit biases by making generalisations about Chinese scholars. This is not what NeurIPS stands for. NeurIPS is dedicated to being a safe space for all of us. We want to address the comment made during the invited talk this afternoon, as it is something that NeurIPS does not condone and it doesn't align with our code of conduct. We are addressing this issue with the speaker directly.
NeurIPS is dedicated to being a diverse and inclusive place where everyone is treated equally.
Yangning Lu retweeted
‘One of the great minds of the 21st century’: #UofT celebrates Geoffrey Hinton’s Nobel Prize 🎉 uoft.me/aZk
Yangning Lu retweeted
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”
Yangning Lu retweeted
Geoffrey E. Hinton, awarded the 2024 #NobelPrize in Physics, was born in 1947 in London, UK.
He earned his PhD in 1978 from the @EdinburghUni, UK. Hinton is currently a professor at the @UofT, Canada.
discover.research.utoronto.c…
Yangning Lu retweeted
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
Yangning Lu retweeted
#UofT Professor Emeritus Geoffrey Hinton has won the 2024 Nobel Prize for Physics.
Hinton shares the prize with John J. Hopfield “for foundational discoveries and inventions that enable machine learning with artificial neural networks.” #NobelPrize uoft.me/aXz
ALT Photo of Geoffrey Hinton at a recent conference. Text reads, "Congratulations Geoffrey Hinton. 2024 Nobel Prize in Physics."
Yangning Lu retweeted
They wiggle forward, they wiggle backward, and occasionally they help win the #nobelprize!
Congrats to Ambros, Ruvkun and their model C. elegans!
Congratulations to Victor Ambros and Gary Ruvkun for receiving the 2024 #NobelPrize in Physiology or Medicine for their discovery of #microRNA and its role in post-transcriptional gene regulation! 🧵 1/3
cell.com/nobelprize
ALT The Noble Prize in Physiology or Medicine : Read our related articles from this this year's winners
Yangning Lu retweeted
Congratulations to MIT alumnus Victor Ambros '75, PhD '79 and former postdoc @gary_ruvkun for winning a Nobel Prize in Medicine or Physiology! 🏅 @MIT_alumni
ALT Illustration of Victor Ambros and Gary Ruvkin with the text "The Nobel Prize in Physiology or Medicine 2024"
Yangning Lu retweeted
🚀 The Segment Anything Model (SAM) has been upgraded to SAM2, featuring an efficient image encoder for segmenting images and videos. But does SAM2 outperform SAM1 in medical image and video segmentation?
We're thrilled to present our paper "Segment Anything in Medical Images and Videos: Benchmark and Deployment"! We comprehensively benchmark SAM2 across 11 medical image modalities and videos.
📄 Paper: arxiv.org/abs/2408.03322
💻 Code: github.com/bowang-lab/MedSAM…
**Highlights:**
1. SAM2 doesn’t always outperform SAM1 in 2D medical images, but excels in video segmentation, making it more accurate and efficient for 3D images, such as CT and MR scans.
2. MedSAM still outperforms SAM2 on most 2D modalities, but SAM2 surpasses MedSAM for 3D image segmentation in a slice-by-slice approach.
3. Segmentation performance varies with model size; sometimes the smallest model outperforms larger ones.
4. Fine-tuning SAM2 significantly boosts its performance for medical image segmentation.
While SAM2 may struggle with challenging objects that have unclear boundaries or low contrast, it excels in generating good initial segmentation masks for common medical images and videos. However, the official interface doesn’t support medical data formats and has limitations on video length. To address this, we've developed a 3D Slicer Plugin and Gradio API for efficient 3D medical image and video segmentation. We invite you to try them out and provide feedback!
🔧 Deployment:
- 3D Slicer Plugin: github.com/bowang-lab/MedSAM…
- Gradio API: 5564949e4fbde69f0a.gradio.li…
(Note: Due to GPU limitations, the online API is available for only 12 hours and may be slow. We highly recommend deploying the Gradio API with your own computing resources: github.com/bowang-lab/MedSAM…
A big shoutout to Jun Ma (@JunMa_11) who recently joined our UHN AI hub (@UHNAIHUB) as Machine Learning Lead, and kudos to all co-authors: Sumin Kim, Feifei Li, Mohammed Baharoon (@BaharoonMS), Reza Asakereh, and Hongwei Lyu! This is true teamwork!
Looking forward to collaborating with the community to advance 3D medical image and video segmentation foundation models!
@UHN @UofTCompSci @UofT_LMP @UofT_TCAIREM @VectorInst
#MedTech #AIinHealthcare #DeepLearning #MedicalImaging #SAM2 #MedSAM #AIResearch
Yangning Lu retweeted
Good stuff. Sequencing proteins by reverse translating them back into DNA, and then sequencing that.
We are excited to share our latest preprint on a new solution to next-generation peptide/protein sequencing.
Peptide sequencing via reverse translation of peptides into DNA biorxiv.org/content/10.1101/…
Yangning Lu retweeted
MLPs are so foundational, but are there alternatives? MLPs place activation functions on neurons, but can we instead place (learnable) activation functions on weights? Yes, we KAN! We propose Kolmogorov-Arnold Networks (KAN), which are more accurate and interpretable than MLPs.🧵
Yangning Lu retweeted
If you're thinking about going on the faculty job market, take a look at this advice doc I just shared with helpimascientist.com: I collected my thoughts about the whole dang thing, from finding positions to negotiating a contract, & I hope y'all find it helpful!
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