📢Exciting announcement today 📢 #EndoDINO is a foundation model for #GI #Endoscopy. We believe this represents a new paradigm for #AI development in the field! EndoDINO - inspired by AI at Meta - will democratize/accelerate new AI research in gastroenterology. More below 👇

I just shared a new article, "The State of Reasoning Models", where I am exploring 12 new research articles on improving the reasoning capabilities of LLMs (all published after the release of DeepSeek R1): magazine.sebastianraschka.com/p/state-of-llm… 1. S1: Simple test-time scaling 2. Test-Time

Less than 24 hours ago, OpenAI dropped GPT-4.1. But most people missed the secret: they dropped a new prompting guide. 10 powerful tips to unlock its full potential: 👇

OpenAI published their official GPT-4.1 prompting guide, and I summarized it into these 13 practical tips to help you get the most out of the new model.

Labeling images for endoscopy AI can be fun!

🏆 Honored to receive the Best Paper Award from @ACM_Healthcare — 5 years after publication! This was my first PhD paper, where I developed ML models using handcrafted features, while vajira dasun focused on DL approaches for GI disease classification. 📄 doi.org/10.1145/3386295

Goodbye Sora, Stanford just dropped FramePack, and it's INSANE 13 Wild Examples so far (Don't miss the 5th one)

Dear incoming Master's & PhD students: 📄 CVs are static. 📊 CGPA is just a number. 💻 GitHub is your live résumé. In 2025, real-world skills > grades. Push code, not just grades. Document your work. Share your impact :) #GitHub #PhDLife #CareerGrowth

🚨 BREAKING: Microsoft just dropped an 18-episode series called "Generative AI for Beginners". Ideal for beginners, developers, and AI enthusiasts looking to build a solid foundation. Here’s a breakdown (Save this👇):🧵

Hands-On Large Language Models! This repository contains the complete code examples from the book Hands-On Large Language Models. It includes notebook examples that cover everything from the introduction to language models to fine-tuning them. 100% Open Source

🚨 Honored to deliver 2 invited talks at AICTE-FDP (MNIT Jaipur): 🎯 Reducing Miss Rates in GI Endoscopy: A Data-Centric AI Approach 🎯 Revealing the Unseen: Deep Learning to Detect Clinically Silent Patterns in Radiology 👥 150+ participants from India & abroad

Our GastroVision dataset is powering @EndoML_ai’s launch project on Barrett’s vs. Normal Esophagus. A proud moment for open, clinically relevant AI in GI endoscopy. Explore the platform (no-code AI): app.endoml.ai Dataset: osf.io/84e7f/

Honored to be named a 2024 Top Scholar by ScholarGPS, ranking in the top 0.5% globally. #51 in Image Segmentation #1,201 in Medical Imaging Grateful for this recognition! #AI #MedicalImaging #TopScholar

Our paper “Mamba Guided Boundary Prior Matters” is accepted at #MICCAI2025 We introduce SAM-MaGuP – a boundary-aware, Mamba-powered upgrade to Segment Anything for polyp segmentation 🔬 SOTA across 5 datasets. 👨‍⚕️ Better detection = better cancer prevention. #AI #MedicalImaging

Honored to present Explainable Transformers & Mamba Models for Medical Image Interpretation at IIT Roorkee & UPES Dehradun’s FDP. ✅ Showcased real-world XAI techniques in radiology ✅ Explored challenges in building trustworthy AI ✅ Engaged 41+ participants #ExplainableAI

Reinforcement Learning of Large Language Models, Spring 2025(UCLA) Great set of new lectures on reinforcement learning of LLMs. Covers a wide range of topics related to RLxLLMs such as basics/foundations, test-time compute, RLHF, and RL with verifiable rewards(RLVR).

🆕 Releasing our entire RL + Reasoning track! featuring: • will brown, Prime Intellect • Greg Kamradt, Arc Prize • Nathan Lambert, AI2/Interconnects • Kyle Corbitt, OpenPipe • Aakanksha Chowdhery, Reflection • Ryan Marten, Bespoke • Christian Szegedy, Morph with special 3 hour workshop from:

🎉 Honored that some of our papers are ranked in the Top Articles (2020–2024) by Google Scholar Metrics 2025: 🏆 Rank #1 — Kvasir-SEG @ MMM 🏆 Rank #9 & #10 — @ IEEE JBHI 🏆 Rank #16 — HyperKvasir @ Scientific Data 🏆 Ranks #34 & #43 — @ MICCAI 🏆 Rank #77 — @ IEEE TNNLS

Honored to be recognized 2 years in a row (2024 & 2025) among the Top 2% of scientists worldwide by the Stanford & Elsevier global ranking. Fields: 1. AI & Image Processing 2. Info & Communication Tech 3. Biomedical Engineering #AI#Top2PercentScientist

Honored to cross 10,000 citations! This milestone is not just about numbers—it reflects a global pursuit to advance AI for Medicine. Our work is now foundational—adopted across academia & industry, inspiring PhD theses, training new scientists, & powering AI research worldwide.