arXiv:2601.01362v1 Announce Type: cross Abstract: Ensuring that deep learning models are well-calibrated in terms of their predictive uncertainty is essential in maintaining their trustworthiness and reliability, yet despite increasing advances in foundation model research, the relationship between such large language models (LLMs) and their calibration remains an open area of research. In this work, we look at a critical gap in the calibration of LLMs within multilingual settings, in an attempt to better understand how the data scarcity […]

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After working with Spring Boot for a couple of months now, one thing that I find lacking in ASP.NET Core (C#) is Aspect Oriented Programming (AOP). In computing, aspect-oriented programming (AOP) is a programming paradigm that aims to increase modularity by allowing the separation of cross-cutting concerns. It does so by adding additional behavior to existing code (an advice) without modifying the code itself, instead separately specifying which code is modified via a “pointcut” specification, such as “log […]

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arXiv:2601.09871v1 Announce Type: new Abstract: Human-AI complementarity is the claim that a human supported by an AI system can outperform either alone in a decision-making process. Since its introduction in the human-AI interaction literature, it has gained traction by generalizing the reliance paradigm and by offering a more practical alternative to the contested construct of ‘trust in AI.’ Yet complementarity faces key theoretical challenges: it lacks precise theoretical anchoring, it is formalized just as a post hoc indicator […]

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I gave my OpenClaw AI agent the name Aris, access to my health data, family Telegram chat, calendar, and GitHub. OpenClaw is an open-source agent framework for building and running personal AI assistants that can interact with various apps and data sources. Simon Willison would call this insane, and he is probably right. Here’s what a Tuesday morning looks like. At 7:30, Aris sends my morning briefing: sleep score from Apple Watch, resting heart rate trending up, recovery […]

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Photo by Barrett Ward on Unsplash This project was presented as the final project to obtain the Founderz AI Business School + Microsoft certificate in AI and Innovation 2025. Summary In contemporary logistics, punctuality has emerged as a fundamental pillar for customer loyalty and business competitiveness. However, a significant part of supply chains continue to operate under reactive paradigms, limiting themselves to managing delays only when they have already materialized. This project addresses this inefficiency by developing a comprehensive […]

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arXiv:2602.23006v1 Announce Type: new Abstract: Simulating a Gaussian process requires sampling from a high-dimensional Gaussian distribution, which scales cubically with the number of sample locations. Spectral methods address this challenge by exploiting the Fourier representation, treating the spectral density as a probability distribution for Monte Carlo approximation. Although this probabilistic interpretation works for stationary processes, it is overly restrictive for the nonstationary case, where spectral densities are generally not probability measures. We propose regular Fourier features for harmonizable […]

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arXiv:2601.18998v1 Announce Type: new Abstract: The rapid evolution of large language models (LLMs) has fuelled enthusiasm about their role in advancing scientific discovery, with studies exploring LLMs that autonomously generate and evaluate novel research ideas. However, little attention has been given to the possibility that such models could be exploited to produce harmful research by repurposing open science artefacts for malicious ends. We fill the gap by introducing an end-to-end pipeline that first bypasses LLM safeguards through persuasion-based […]

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