🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Life update: Absolutely thrilled to share that I'll be joining UCLA as an Assistant Professor in summer 2025, with joint appts in Computational Medicine (UCLA_Computational Medicine) and Computer Science (UCLA CS Department)! Immensely grateful to everyone who has been part of this journey.

📢 Open Call: Fully funded #PhD student positions starting in 2025 at IVUL @KAUSTVision Lab with Prof. Bernard Ghanem If you are passionate about computer vision and machine learning, contact us now and apply to #JoinOurTeam. 🔗 Our lab: cemse.kaust.edu.sa/ivul

🔗 Thoughts on Research Impact in AI. Grad students often ask: how do I do research that makes a difference in the current, crowded AI space? This is a blogpost that summarizes my perspective in six guidelines for making research impact via open-source artifacts. Link below.

Our top Spotlight of 2024 #2: MIT CSAIL PhD student Kumail Alhamoud's research focus is on the generalizability of #ML systems. His main goal is to make deep learning systems deployable, reliable & robust under various distribution shifts. Hear more: bit.ly/3ZA6XwJ

🤷‍♂️ When and why do Foundation Models hallucinate or confabulate in healthcare, and what's the real-world impact on medical practice? 💔 Our work tackles this urgent question, defining "Medical Hallucinations" AND revealing experimental results. Paper: medrxiv.org/content/10.110…

🧬 Meet Lyra, a new paradigm for accessible, powerful modeling of biological sequences. Lyra is a lightweight SSM achieving SOTA performance across DNA, RNA, and protein tasks—yet up to 120,000x smaller than foundation models (ESM, Evo). Bonus: you can train it on your Mac. read

Excited to share our ICLR 2025 paper, I-Con, a unifying framework that ties together 23 methods across representation learning, from self-supervised learning to dimensionality reduction and clustering. Website: aka.ms/i-con A thread 🧵 1/n

Does an AI model understand "no(t)"? 🚫Kumail Alhamoud, Shaden Alshammari, Yonglong Tian, Guohao Li (Hiring!) 🐫, Philip Torr, Yoon Kim, and #JameelClinic PI Marzyeh demonstrate how vision-language models (VLMs) struggle with negation. 📰More in MIT News: news.mit.edu/2025/study-sho…