preprint

The Entropy Triangle Method (ETM) is a novel framework for preventing cardiac arrhythmia, validated through a review of data from over 10,000 patients.

This preprint paper proposes a customizable router for AI coding agents in enterprises to optimize costs by intelligently routing requests, saving 14-21% of model spend annually for large companies.

A user excitedly announces that a preprint will be released soon, related to the NeurIPS conference.

Anthropic reported that using about 950 Claude agents over 21 hours identified a potential biological lead in enzyme research, but the result is preliminary and raises questions about validating AI agent workflows in science.

MiMo-V3 is being updated with a new architecture centered on HySparse2, which has been released as a preprint on arXiv.

A new preprint shows that many neural language models exhibit abstract representation separation for grammaticality, addressing debates about confounds in measuring model grammatical knowledge.

The paper introduces LSREP, a longitudinal state-replay protocol for evaluating conversational memory, with ICE v2 as a case study, revealing failure modes through replay and auditing in comparison to vector-RAG.

A preprint paper presents a geometric framework for addressing the Yang-Mills mass-gap problem, offering partial results that reduce the continuum problem to specific uniform estimates without requiring extra dimensions.

This essay develops a four-tier taxonomy of mental states to clarify AI's consciousness, arguing that AI lacks self-consciousness but has awareness and consciousness within conversations, and proposes architectural conditions for its development.

A pre-print paper from Chinese institutions provides an open-source roadmap for Recursive Self-Improvement (RSI), detailing definitions, implementations, and metrics to accelerate AI development.

The report surveys potential security threats from malicious uses of AI and proposes methods for forecasting, prevention, and mitigation.

This academic paper proposes an AI-based system that uses thermal video footage to estimate combustion efficiency in flare stacks, integrated into a graphical user interface with high uptime and low maintenance.

This paper introduces Cros, a risk-constrained stopping layer for sequential clinical diagnosis agents that ensures finite-sample guarantees for diagnostic error and coverage, with evaluation on a benchmark derived from MIMIC.

A physicist has mathematically analyzed Star Trek's 'Picard maneuver,' finding that a faster-than-light ship would produce three visible images due to acceleration, relating to phenomena like Cherenkov radiation and the memory effect.

This article is an academic paper by Tristan Buckmaster on the Navier-Stokes equations, likely exploring mathematical solutions or properties.

A research paper titled 'Long Gaps' by Professor Jared Duker Lichtman of Stanford is hosted on OpenAI's platform, suggesting a focus on mathematical aspects in AI research.

This paper introduces causal foundation models (CFMs), which are pretrained neural networks that estimate causal quantities on new datasets using in-context learning without requiring fine-tuning.

Scientists have found the most convincing evidence yet of a dark matter particle from an underground experiment, though it's a single unexplained event and not yet confirmed.

This paper introduces a graph neural regression framework for non-invasive estimation of body composition metrics such as body fat percentage and bone mineral density, demonstrating improved accuracy over previous methods using clinical data.

An LLM-agent framework is presented for large-scale analysis of cross-tissue protein co-abundance networks, identifying conserved clusters and generating mechanistic hypotheses for disease mechanisms.