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A great couple of days at the University of Wollongong, alongside a brilliant and inspired cast brought together by Phil Orchard, discussing accountability for the international crime of forced displacement.My paper and presentation examined how forced displacement interacts with genocide. I draw on numerous historical genocides to articulate four ways in which genocidal violence and forced displacement relate, and show how each have taken place in the context of Gaza. More soon.

🚀 Excited to share that our latest paper is now available on arXiv!I’m also thrilled that this work was accepted as a Spotlight Talk at the 2026 Physics & AI (PAI) Conference at Stanford University, where I had the opportunity to present our findings and discuss them with researchers working at the intersection of AI and the physical sciences.The project started with a simple question:What actually makes a good tokenizer for a scientific foundation model?Intuitively, you’d expect the tokenizer with the best image reconstruction to also produce the best scientific representations. But after benchmarking four tokenization strategies—Linear, MLP, VQ-VAE, and our flow-based tokenizer, JetFormer—we found that the answer is much more nuanced.One of our main findings is that better image reconstruction does not necessarily translate into better downstream scientific performance...🌌Even more interesting, we find that JetFormer achieves the highest reconstruction fidelity while preserving rich physical information. Yet a significant portion of that information remains inaccessible to conventional Linear and MLP probes!To me, that’s perhaps the most exciting result of this work. It raises a bigger question than the one we started with:How much scientific knowledge are today’s foundation models already learning that our current evaluation methods simply fail to measure? 🤔📄 Paper: https://lnkd.in/gNB2MQ36I’m grateful to the incredible AstroAI team at Harvard, especially Mike Smith , whose mentorship was instrumental to this work. Thanks as well to my advisors, Bahram Mobasher and Juan Rafael Martínez Galarza, and to all my co-authors for their collaboration, support, and for making this such a rewarding experience.📸 Photo credit: David Gonzales / Stanford HAI (@gonzalesphoto)#ArtificialIntelligence #FoundationModels #MachineLearning #ScientificAI #AstroAI #PhysicsAI #RepresentationLearning #Transformers #StanfordHAI

Hi everyone,I am writing a research paper on the preferred source of Financial Advice in the UAE .The financial landscape has undergone a remarkable evolution in the past decade let's dive deeper into this by exploring What Do Investors in UAE prefer Human Advisors ,Ai /Robo Advisors or Social Media Influencers Finfluencers for seeking financial advice ?Kindly fill the survey and let me know what do you think about it .It will hardly take 8-10 minutes but will contribute to a meaningful academic research.Regards https://lnkd.in/d_66n_BM

Interesting paper on a topic that is important. Ag emmissons must be better understood and the investment in understanding this is needed if farmers are to have a competitive advantage and an accurate understanding of their emissions AND sequestration. Not many industries get the opportunity Ag has to reduce emissions whilst also sequestering carbon into agricultural soils.