This tutorial shows you how to build a real-time medical transcription system that captures patient conversations, separates speakers, and automatically generates SOAP notes. You’ll create a streaming application that processes audio as it happens, giving healthcare providers instant transcription with proper clinical documentation format. You’ll use AssemblyAI’s Python SDK for real-time speech-to-text with multichannel speaker separation, combined with OpenAI’s GPT-4 API to transform raw transcripts into structured clinical notes. The implementation includes microphone audio capture, streaming transcription processing, […]

Ver mais

arXiv:2601.14429v1 Announce Type: new Abstract: Open science initiatives have strengthened scientific integrity and accelerated research progress across many fields, but the state of their practice within transportation research remains under-investigated. Key features of open science, defined here as data and code availability, are difficult to extract due to the inherent complexity of the field. Previous work has either been limited to small-scale studies due to the labor-intensive nature of manual analysis or has relied on large-scale bibliometric approaches […]

Ver mais

arXiv:2602.15037v1 Announce Type: new Abstract: As large language models (LLMs) advance toward expert-level performance in engineering domains, reliable reasoning under user-specified constraints becomes critical. In circuit analysis, for example, a numerically correct solution is insufficient if it violates established methodological conventions such as mesh directionality or polarity assignments, errors that can propagate in safety-critical systems. Yet it remains unclear whether frontier models truly apply first-principles reasoning or rely on entrenched training priors that conflict with explicit instructions. We […]

Ver mais

arXiv:2602.18455v1 Announce Type: new Abstract: Search engines increasingly display LLM-generated answers shown above organic links, shifting search from link lists to answer-first summaries. Publishers contend these summaries substitute for source pages and cannibalize traffic, while platforms argue they are complementary by directing users through included links. We estimate the causal impact of Google’s AI Overview (AIO) on Wikipedia traffic by leveraging the feature’s staggered geographic rollout and Wikipedia’s multilingual structure. Using a difference-in-differences design, we compare English Wikipedia […]

Ver mais

arXiv:2604.08582v1 Announce Type: new Abstract: Multivariate Time Series Anomaly Detection (MTSAD) is critical for real-world monitoring scenarios such as industrial control and aerospace systems. Mainstream reconstruction-based anomaly detection methods suffer from two key limitations: first, overfitting to spurious correlations induced by an overemphasis on cross-variable modeling; second, the generation of misleading anomaly scores by simply summing up multivariable reconstruction errors, which makes it difficult to distinguish between hard-to-reconstruct samples and genuine anomalies. To address these issues, we propose […]

Ver mais

arXiv:2601.18845v1 Announce Type: new Abstract: Deep learning has revolutionized numerous tasks within the computer vision field, including image classification, image segmentation, and object detection. However, the increasing deployment of deep learning models has exposed them to various adversarial attacks, including backdoor attacks. This paper presents a novel dynamic mask-based backdoor attack method, specifically designed for object detection models. We exploit a dataset poisoning technique to embed a malicious trigger, rendering any models trained on this compromised dataset vulnerable […]

Ver mais

arXiv:2603.03415v1 Announce Type: new Abstract: In this work, we investigate how Large Language Models (LLMs) adapt their internal representations when encountering inputs of increasing difficulty, quantified as the degree of out-of-distribution (OOD) shift. We reveal a consistent and quantifiable phenomenon: as task difficulty increases, whether through harder reasoning questions, longer contexts, or adding answer choices, the last hidden states of LLMs become substantially sparser. In short, textbf{textit{the farther the shift, the sparser the representations}}. This sparsity–difficulty relation is […]

Ver mais

In late 2025, the Reuters Institute for the Study of Journalism reported that [global publishers have already lost ]()**33% of search referral traffic year over year with media leaders projecting an additional *40%+ decline* as AI-generated answers replace traditional discovery paths. That data point matters far beyond journalism. It confirms something B2B marketers are now feeling in real time: buyers are no longer navigating the web, they are prompting AI systems to do the thinking for them. Call […]

Ver mais