모델 출시ENOpenAI Blog
Travelers deploys AI-powered claims countrywide with OpenAI
Travelers built an AIpowered Claim Assistant with OpenAI to guide customers through filing claims, provide 24/7 support, and scale operations during peak demand.
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연구ENMIT Technology Review AI
Rehumanizing global health care with agentic AI
The global health care sector is under increasing strain. Decades of chronic underinvestment and constraints in recruitment have coincided with a surge in demand for services for aging populations.
산업ENWired AI
The Trump Administration Is at War With Itself Over AI Regulation
Donald Trump killed an executive order to regulate AI. Now, administration officials and AI executives are trying to figure out if there’s anything left to piece back together.
연구ENMIT Technology Review AI
How small businesses can leverage AI
This article is from Making AI Work, MIT Technology Review’s limitedrun newsletter examining how to apply LLMs across industries. To receive it in your inbox,sign up here.
모델 출시ENOpenAI Blog
Codex for every role, tool, and workflow
Discover new Codex plugins, sites, and annotations that help analysts, marketers, designers, investors, and other teams get more done with AI.
모델 출시ENOpenAI Blog
Advancing youth safety and opportunity through global leadership
OpenAI calls for global action on youth AI safety, proposing an international institute to strengthen safeguards, standards, and opportunities for young people.
산업AI타임스
앤트로픽, 비공개 IPO 신청서 제출…오픈AI보다 먼저 주도권 확보
앤트로픽이 미국 증시 상장을 위한 비공개 기업공개IPO 신청서를 제출했다. 오픈AI보다 먼저 상장 절차에 돌입함으로써 시장 주도권을 선점하겠다는 의도다.앤트로픽은 1일현지시간 공지를 통해 이날 미국 증권거래위원회SEC에 IPO를 위한 예비 등록신고서S1를 제출했다고 발표했다. 주식 수와 가격은 아직 정해지지 않았다고 덧붙였다.이번 상장 추진에 앞서 앤트로픽은 몸값을 크게 끌어올렸다. 지난달 28일 발표한 시리즈 H 라운드에서는 650억달러약 98조원의 자금을 조달하며 기업 가치 9650억달러약 1460조원를
산업ENNVIDIA AI Blog
Why Financial Institutions Are Converging on Transaction Foundation Models to Build Their Own Intelligence
Financial institutions have spent years building AI: fraud models, credit models, recommendation engines and risk systems. While this sprawl of taskspecific models has been effective, it’s also constrained by siloed systems.
연구ENArXiv AI
Position Paper: Post-Solve Robustness in Decision Engines: Feasible Regions and Smoothness Under Perturbations
arXiv:2606.00002v1 Announce Type: new Abstract: MixedInteger Linear Programming MILP decision engines routinely output nominally optimal plans for highstakes industrial systems.
연구ENArXiv AI
Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis
arXiv:2606.00005v1 Announce Type: new Abstract: We present the Consilium Protocol, a Byzantine Fault Tolerancederived architecture for structured multimodel AI deliberation that treats intermodel disagreement as epistemic signal rather than error.
연구ENArXiv AI
Deliberative Curation: A Protocol for Multi-Agent Knowledge Bases
arXiv:2606.00007v1 Announce Type: new Abstract: As AI agents transition from isolated tools to collaborative participants in shared knowledge ecosystems, governing collective knowledge curation becomes a critical challenge.
연구ENArXiv AI
Agents on a Tree: Pathwise Coordination for Multi-Objective Molecular Optimization
arXiv:2606.00008v1 Announce Type: new Abstract: Multiobjective molecular optimization requires searching vast chemical spaces under conflicting objectives, where early design decisions strongly constrain downstream outcomes.