arXiv:2406.16227v2 Announce Type: replace Abstract: Effective clustering of biomedical data is crucial in precision medicine, enabling accurate stratifiction of patients or samples. However, the growth in availability of high-dimensional categorical data, including `omics data, necessitates computationally efficient clustering algorithms. We present VICatMix, a variational Bayesian finite mixture model designed for the clustering of categorical data. The use of variational inference (VI) in its training allows the model to outperform competitors in term of efficiency, while maintaining high accuracy. […]

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Watts critiques our scholastic obsessions and urges an experiential approach to life, blending the spiritual and concrete like a Zen gardener planting mysteries among truths. He laments our sterile materialism and bureaucratic rigidity, championing a dance with risk, creativity, and nonverbal wisdom. With tales of mystics, scientists, and madmen, he celebrates the spice of oddballs, the necessity of nonsense, and the ineffable richness of being alive.

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Mistral AI lands a partnership with Accenture, the consultant that has also recently announced partnerships with rivals OpenAI and Anthropic.

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Let me start off by saying “I just started studying RL and I don’t know if what I’m going to describe is a thing or if there’s an analogue to it in the DL world”. Now, onto the idea: Humans have an ability to know right from wrong and have a general sense of what’s good for them and what’s bad. Even babies seem to behave in a way that indicates this knowledge. eg. babies preferring helpers over […]

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There is a quiet shift happening in software development. For decades, the most valuable skill for a developer was the ability to write code efficiently and correctly. Entire careers were built around mastering frameworks, memorizing patterns, and becoming faster at turning requirements into working software. But the rise of AI coding agents is changing that equation. Today, machines are becoming exceptionally good at the one thing developers spent years mastering: churning out code. Tools like OpenAI’s ChatGPT and […]

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Anthropic, OpenAI, Google DeepMind and others have long promised to govern themselves responsibly. Now, in the absence of rules, there’s not a lot to protect them.

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In a matter of months, skills have taken the agent ecosystem by storm: major LLM agent platforms (e.g., Cursor, Claude Code, Antigravity, Coze) now support skills natively, and skill counts across domains are growing at a breakneck pace. Although skills initially served as on-demand prompts to avoid excessive prompt context length, they differ fundamentally from conventional prompts in three respects: (i) skills embody locality: the very presence of a skill implies repeated reuse; (ii) skills encode concrete scenarios, […]

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Traditional mean–variance portfolio optimization proves inadequate for cryptocurrency markets, where extreme volatility, fat-tailed return distributions, and unstable correlation structures undermine the validity of variance as a comprehensive risk measure. To address these limitations, this paper proposes a unified entropy-based portfolio optimization framework grounded in the Maximum Entropy Principle (MaxEnt). Within this setting, Shannon entropy, Tsallis entropy, and Weighted Shannon Entropy (WSE) are formally derived as particular specifications of a common constrained optimization problem solved via the method of […]

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