arXiv:2601.19945v1 Announce Type: new Abstract: Automatic Speech Recognition (ASR) offers significant potential to reduce the workload of medical personnel, for example, through the automation of documentation tasks. While numerous benchmarks exist for the English language, specific evaluations for the German-speaking medical context are still lacking, particularly regarding the inclusion of dialects. In this article, we present a curated dataset of simulated doctor-patient conversations and evaluate a total of 29 different ASR models. The test field encompasses both open-weights […]

Ver mais

arXiv:2601.09879v1 Announce Type: new Abstract: Recent progress in medical vision-language models (VLMs) has achieved strong performance on image-level text-centric tasks such as report generation and visual question answering (VQA). However, achieving fine-grained visual grounding and volumetric spatial reasoning in 3D medical VLMs remains challenging, particularly when aiming to unify these capabilities within a single, generalizable framework. To address this challenge, we proposed MedVL-SAM2, a unified 3D medical multimodal model that concurrently supports report generation, VQA, and multi-paradigm segmentation, […]

Ver mais

This paper proposes a self-supervised performance degradation identification model to address the challenges of high-dimensional heterogeneous data, complex dependency structures, and dynamic non-stationarity in large-scale microservice architectures. The model takes multi-source monitoring data as input and first performs semantic alignment among different metrics through multidimensional feature embedding and projection layers. An adaptive dynamic graph convolutional network is then employed to capture the topological dependencies and interaction features among service nodes, constructing time-varying structural representations. In the temporal modeling […]

Ver mais

arXiv:2601.12265v1 Announce Type: new Abstract: This study proposes an algorithm titled a statistical firefly algorithm (SFA) for truss topology optimization. In the proposed algorithm, historical results of fireflies’ motions are used in hypothesis testing to limit the motions of fireflies that are suggested by current information exchanges between fireflies only to those that are potentially useful. Hypothesis testing is applied to the mechanism of an ordinary firefly algorithm (FA) without changing its structure. As a result, the implementation […]

Ver mais

When the bubble bursts, it will be the indestructible code programmers who will learn to use these tools and new languages, but who also have the discipline required to deploy all these operations at scale. AI adoption numbers are impressive; 78% of global companies use AI in their daily operations, and 90% are exploring it. While some experts, such as Nobel Prize winner Joel Mokyr, say it has a very positive impact on economic growth, by helping people […]

Ver mais

Frontier multimodal models usually process an image in a single pass. If they miss a serial number on a chip or a small symbol on a building plan, they often guess. Google’s new Agentic Vision capability in Gemini 3 Flash changes this by turning image understanding into an active, tool using loop grounded in visual evidence. Google team reports that enabling code execution with Gemini 3 Flash delivers a 5–10% quality boost across most vision benchmarks, which is […]

Ver mais

arXiv:2601.03274v1 Announce Type: new Abstract: LLM_annotate is a Python package for analyzing the personality of fiction characters with large language models. It standardizes workflows for annotating character behaviors in full texts (e.g., books and movie scripts), inferring character traits, and validating annotation/inference quality via a human-in-the-loop GUI. The package includes functions for text chunking, LLM-based annotation, character name disambiguation, quality scoring, and computation of character-level statistics and embeddings. Researchers can use any LLM, commercial, open-source, or custom, within […]

Ver mais

In one of our reports from yesterday, we mentioned about the growing trend of big AI companies acquiring AI startups to boost their portfolio and to innovate even more with fresh talents. Meta, being one of the contenders in the ongoing AI race, is reportedly betting big on Manus, which is an AI startup from Singapore that entered the AI space in early 2025. All thanks to a demo video that has Silicon Valley talking about it ever […]

Ver mais

arXiv:2601.21410v2 Announce Type: replace Abstract: We introduce Statsformer, a principled framework for integrating large language model (LLM)-derived knowledge into supervised statistical learning. Existing approaches are limited in adaptability and scope: they either inject LLM guidance as an unvalidated heuristic, which is sensitive to LLM hallucination, or embed semantic information within a single fixed learner. Statsformer overcomes both limitations through a guardrailed ensemble architecture. We embed LLM-derived feature priors within an ensemble of linear and nonlinear learners, adaptively calibrating […]

Ver mais