arXiv:2601.00148v1 Announce Type: new Abstract: School Campus emergency communication systems are vital for safeguarding student safety during sudden disasters such as typhoons, which frequently cause widespread paralysis of communication infrastructure. Traditional Delay-Tolerant Network (DTN) protocols, such as Direct Delivery and First Contact, struggle to maintain reliable connections in such scenarios due to high latency and low delivery rates. This paper proposes the Activity-based First Contact (A-FC) protocol, an innovative routing scheme that leverages real-world social roles to overcome […]

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A data scientist’s guide to population stability index (PSI) The post Stop Retraining Blindly: Use PSI to Build a Smarter Monitoring Pipeline appeared first on Towards Data Science.

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Fairness in machine learning is increasingly critical, yet standard approaches often treat data as static points in a high-dimensional space, ignoring the underlying generative structure. We posit that sensitive attributes (e.g., race, gender) do not merely shift data distributions but causally warp the geometry of the data manifold itself. To address this, we introduce Causal Manifold Fairness (CMF), a novel framework that bridges causal inference and geometric deep learning. CMF learns a latent representation where the local Riemannian […]

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Published on December 13, 2025 12:38 PM GMT How it started I used to think that anything that LLMs said about having something like subjective experience or what it felt like on the inside was necessarily just a confabulated story. And there were several good reasons for this. First, something that Peter Watts mentioned in an early blog post about LaMDa stuck with me, back when Blake Lemoine got convinced that LaMDa was conscious. Watts noted that LaMDa […]

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DolphinGemma, a large language model developed by Google, is helping scientists study how dolphins communicate — and hopefully find out what they’re saying, too.

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Amp’s new “handoff” feature replaces compaction by packaging relevant context into new threads while navigating complex discussions.

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“Deep Learning is Easy, Learn something Harder” – I proclaimed in one of my early and provocative blog posts from 2016. While some observations were fair, that post is now evidence that I clearly underestimated the impact simple techniques will have, and probably gave counterproductive advice. I wasn’t alone in my deep learning skepticism, in fact I’m far from being the most extreme deep learning skeptic. Many of us who grew up working in Bayesian ML, convex optimization, […]

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