산업ENThe Verge AI
Anthropic explains how Claude’s invisible text watermarks will work
Anthropic has clarified how it's planning to apply invisible watermarks to Claudegenerated text in order to comply with Europe's AI transparency rules.
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산업인공지능신문
SBVA, 젠스파크 CTO 초청 파이어사이드 챗… AI 에이전트 미래 논의
SBVA에스비브이에이, 대표 이준표가 글로벌 인공지능AI 워크스페이스 플랫폼 젠스파크Genspark의 케이 주Kay Zhu 공동창업자 겸 최고기술책임자CTO를 초청해 AI 에이전트 기술의 발전 방향과 비즈니스 활용 가능성을 논의하는 파이어사이드 챗을 개최했다고 17일 밝혔다.지난 14일 서울 서초구 SBVA 사무실에서 열린 이번 행사는 빠르게 발전하는 AI 에이전트 기술에 대한 인사이트를 공유하고, 국내 기업과 젠스파크 간 교류와 협력 기회를 확대하기 위해 마련됐다. 행사에는 주요 기업과 스타트업 관계자 60여 명
산업인공지능신문
“공공 의료 AI 표준모델 만든다”...KT-서울대병원, 의료 AX 플랫폼 구축 협력
KT대표이사 박윤영가 서울대학교병원병원장 백남종과 진료, 간호, 연구, 운영 등 의료 전 영역의 혁신을 지원하는 의료 인공지능 전환AX 플랫폼 구축을 함께 추진한다고 17일 밝혔다.이번 협력은 KT가 보유한 의료 AX 전략과 대한민국 최대 규모 국공립 의료기관인 서울대병원의 임상 전문성과 연구 역량을 기반으로 추진된다. 양사는 의료 AX 플랫폼 표준모델 발굴 및 적용, AI Native 병원 등 정부 정책과제 실증·고도화·사업화, AI 기반 임상 의사결정 지원 및 업무 효율화, 헬스케어 시장 확산 등 다양한 분야에서 공동
연구ENMIT Technology Review AI
What happens when a kid’s robot best friend dies?
When Xander first met Moxie, she taught him that when he was anxious, he could calm down by exhaling through his lips so that he buzzed like a bee. They practiced breathing like dragons to manage feeling mad and sniffing like bunnies to boost his energy.
연구ENGoogle AI Blog
Get closer to the game with Gemini and Pixel
Google Gemini and Pixel partner with five global football clubs to elevate the fan matchday experience through AI and Smartphone Technology.
모델 출시ENOpenAI Blog
The Defender’s Window
AI is reshaping cybersecurity for attackers and defenders alike. Learn how OpenAI is strengthening its defenses and what security teams can do now.
모델 출시ENOpenAI Blog
OpenAI joins PORTS-Pike project
OpenAI joins PORTSPike project, expanding community investment and supporting thousands of Southern Ohio jobs
연구ENArXiv AI
Inducing Reward-Free Judging Rubrics that Reduce Over-Crediting in Agent Evaluation
arXiv:2608.13564v1 Announce Type: new Abstract: Evaluating languagemodel agents at scale increasingly relies on a second language model as an automatic judge, because the gold signal, an executable environment reward, is expensive, slow, or unavailable at deployment time.
연구ENArXiv AI
Depth-Aware Sensitivity Analysis of Mixture-of-Experts Models via Magnitude-Based Expert Masking
arXiv:2608.13565v1 Announce Type: new Abstract: MixtureofExperts MoE architectures scale large language models LLMs while preserving computational efficiency through sparse activation.
연구ENArXiv AI
Modular Cognitive Architecture Emerges in Large Language Models
arXiv:2608.13567v1 Announce Type: new Abstract: The human brain exhibits a striking degree of functional specialization, with distinct networks supporting language, formal reasoning, reasoning about other minds, and reasoning about the physical world.
연구ENArXiv AI
A Year in LLM Serving: Workload Evolution, Caching and Load-Balancing
arXiv:2608.13573v1 Announce Type: new Abstract: Large Language Model LLM serving has become a critical cloud workload, and realistic traces are essential for motivating and benchmarking serving systems. However, existing LLM serving workload studies remain limited in scale and scope.
연구ENArXiv AI
Agentao: A Governed Local-First Runtime for Tool-Using LLM Agents
arXiv:2608.13574v1 Announce Type: new Abstract: LLM agents increasingly operate as execution systems that invoke tools, modify local state, use persistent memory, and interact with external protocols.