arXiv:2601.14335v1 Announce Type: new Abstract: This paper presents an approach for predicting the self-rated health of individuals in a future population utilising the individuals’ socio-economic characteristics. An open-source microsimulation is used to project Ireland’s population into the future where each individual is defined by a number of demographic and socio-economic characteristics. The model is disaggregated spatially at the Electoral Division level, allowing for analysis of results at that, or any broader geographical scales. Ordinal regression is utilised to […]

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I think I am at least somewhat more productive than average, and people sometimes ask me for productivity tips.  So I decided to just write them all down in one place. Compound growth gets discussed as a financial concept, but it works in careers as well, and it is magic.  A small productivity gain, compounded over 50 years, is worth a lot.  So it’s worth figuring out how to optimize productivity. If you get 10% more done and […]

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The real limit on AI isn’t compute — it’s capacity. There’s a moment in every AI conversation where someone — usually a CEO — leans back, exhales, and says the same line: “We need more compute.” It sounds urgent. It sounds technical. It sounds like a GPU problem. And for a while, I believed that too. But the more I mapped the AI pipeline — chips, networking, optics, power, cooling, grid — the more something started to ache. […]

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Qualitative analysis of biochemical reaction systems reveals fundamental system-level properties that are independent of precise kinetic parameters, often context-dependent, or experimentally inaccessible. By focusing on structural and topological features — such as conservation relations, feedback loops, and pathway interconnections — qualitative analysis identifies invariant behaviors, robustness mechanisms, and potential failure modes inherent to the signaling network. In this study, we use Petri nets as a formal modeling framework to conduct qualitative analysis of the integrated MAPK and PI3K/Akt […]

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Dating apps are gradually starting to run into a familiar problem. Users are still there, but the excitement isn’t. The swiping part of dating apps now feels repetitive, with matches starting to feel random all of a sudden. No wonder the burnout is pretty hard to ignore. Well, guess what — Tinder is looking to solve that problem with AI. Yes, you read that correctly. ‘Chemistry’ is Tinder’s AI experimental feature to fix the problem of endless scrolling […]

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Agentic AI systems act autonomously across enterprise environments, making traditional perimeter-based security ineffective. Zero Trust treats AI agents as independent actors with identities, enforcing continuous verification, least-privilege access, and contextual controls across APIs, systems, and data. While powerful, Zero Trust must be implemented thoughtfully to avoid policy sprawl, blind spots, and legacy gaps. When done right, it enables organizations to scale autonomous AI safely—without sacrificing speed, innovation, or trust.

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Reward design remains a significant bottleneck in applying reinforcement learning (RL) to real-world problems. A popular alternative is reward learning, where reward functions are inferred from human feedback rather than manually specified. Recent work has proposed learning reward functions from human feedback in the form of ratings, rather than traditional binary preferences, enabling richer and potentially less cognitively demanding supervision. Building on this paradigm, we introduce a new rating-based RL method, Ranked Return Regression for RL (R4). At […]

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arXiv:2602.00888v1 Announce Type: new Abstract: The advent of the web has led to a paradigm shift in the financial relations, with the real-time dissemination of news, social discourse, and financial filings contributing significantly to the reshaping of financial forecasting. The existing methods rely on establishing relations a priori, i.e. predefining graphs to capture inter-stock relationships. However, the stock-related web signals are characterised by high levels of noise, asynchrony, and challenging to obtain, resulting in poor generalisability and non-alignment […]

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