산업AI타임스
믿을 수 없는 전쟁 ‘현장’ 사진들… AI 조작물의 위협
AI타임스 조예주 기자 joyejuoffice@aitimes.com
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AI타임스 조예주 기자 joyejuoffice@aitimes.com
데이터 테크 전문 아이지에이웍스는 지난 2025년 11월부터 2026년 2월까지 주요 AI 모바일 앱의 월간 활성 이용자MAU 데이터를 6일 공개했다. 이번 조사 결과는 국내 iOS 및 안드로이드 통합 분석 데이터를 바탕으로 한다. 이에 따르면, 주요 AI 앱이 대부분 정체 및 하락 구간에 들어선 것으로 나타났다. MAU가 공개된 주요 앱은 ▲챗GPT ▲제미나이 ▲뤼튼 ▲제타 ▲에이닷 ▲퍼플렉시티 ▲그록AI ▲클로드 ▲딥시크 ▲클링AI 등이다. 먼저, '챗GPT'는 아슬아슬하게 증가세를 유지했다. 2월 ‘급상승 모바일 앱’ 순위
arXiv:2603.04448v1 Announce Type: new Abstract: Current AI agents can flexibly invoke tools and execute complex tasks, yet their longterm advancement is hindered by the lack of systematic accumulation and transfer of skills.
arXiv:2603.04457v1 Announce Type: new Abstract: The fundamental topology of manufacturing has not undergone a paradigmlevel transformation since Henry Ford's moving assembly line in 1913. Every major innovation of the past century, from the Toyota Production System to Industry 4.
arXiv:2603.04514v1 Announce Type: new Abstract: Diffusion language models generate text through iterative denoising under a uniform refinement rule applied to all tokens.
arXiv:2603.04528v1 Announce Type: new Abstract: Mathematical concepts emerge through an interplay of processes, including experimentation, efforts at proof, and counterexamples. In this paper, we present a new multiagent model for computational mathematical discovery based on this observation.
arXiv:2603.04549v1 Announce Type: new Abstract: LLMbased agents increasingly rely on longterm memory to support multisession reasoning and interaction, yet current systems provide little control over what information is retained.
arXiv:2603.04582v1 Announce Type: new Abstract: Agentic systems increasingly rely on language models to monitor their own behavior. For example, coding agents may self critique generated code for pull request approval or assess the safety of tooluse actions.
arXiv:2603.04589v1 Announce Type: new Abstract: Electrocardiography ECG analysis is crucial for cardiac diagnosis, yet existing foundation models often fail to capture the periodicity and diverse features required for varied clinical tasks.
arXiv:2603.04631v1 Announce Type: new Abstract: Large Language Models LLMs are increasingly integrated into critical decisionmaking pipelines, a trend that raises the demand for robust and automated data analysis.
arXiv:2603.04636v1 Announce Type: new Abstract: Despite their wideranging benefits, LLMbased agents deployed in open environments can be exploited to produce manipulative material.
arXiv:2603.04670v1 Announce Type: new Abstract: This project investigates the capabilities of large language models LLMs to determine the difficulty of data visualization literacy test items.