산업ENTechCrunch AI
Sequen snags $16M to bring TikTok-style personalization tech to any consumer company
With its Series A, Sequen is bringing its proprietary AI ranking and personalization technology to large consumer business.
AI News
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산업ENTechCrunch AI
Microsoft hires the team of Sequoia-backed AI collaboration platform, Cove
AI collaboration startup Cove is shutting down after its team joined Microsoft, with service ending April 1 and customer data set for deletion.
산업ENTechCrunch AI
The PhD students who became the judges of the AI industry
Artificial intelligence models are multiplying fast, and competition is stiff. With so many players crowding the space, which one will be the best — and who decides that?
산업인공지능신문
[AI 이슈] 구글 딥마인드, AGI 평가 기준 공개…“인간 인지 기반으로 진전 측정”
구글 딥마인드가 범용 인공지능AGI의 발전 수준을 정량적으로 측정하기 위한 새로운 평가 프레임워크를 공개하며, AI 성능 평가 방식의 전환을 예고했다. 기존에는 AGI에 얼마나 근접했는지를 판단할 명확한 기준이 부족했지만, 이번 연구를 통해 인간 인지 능력을 기반으로 한 체계적 평가 접근이 제시됐다는 점에서 주목된다.17일현지시간 구글 딥마인드는 ‘AGI로의 진전 측정: 인지 분류 체계Measuring Progress Toward AGI: A Cognitive Taxonomy다운’라는 새로운 연구 논문을 발표하고, AI
연구ENIEEE Spectrum AI
Nvidia’s Always-On Chip Detects Faces in Less Than a Millisecond
Alwayson vision systems might be used in autonomous vehicles, robotics, or to help consumer electronics save power by turning screens off when no one’s around. But to be used in such a way, these systems need to minimize their own power consumption.
산업ENNVIDIA AI Blog
From Simulation to Production: How to Build Robots With AI
The latest open models and frameworks from NVIDIA bring together simulation, robot learning and embedded compute to accelerate cloudtorobot workflows.
산업ENThe Verge AI
DLSS 5: Has Nvidia’s AI graphics technology gone too far?
Nvidia has revealed a new “3D guided neural rendering model” called DLSS 5 that can change a game’s lighting and materials in realtime, and… many gamers aren’t happy.
연구ENArXiv AI
Neural-Symbolic Logic Query Answering in Non-Euclidean Space
arXiv:2603.15633v1 Announce Type: new Abstract: Answering complex firstorder logic FOL queries on knowledge graphs is essential for reasoning. Symbolic methods offer interpretability but struggle with incomplete graphs, while neural approaches generalize better but lack transparency.
연구ENArXiv AI
NextMem: Towards Latent Factual Memory for LLM-based Agents
arXiv:2603.15634v1 Announce Type: new Abstract: Memory is critical for LLMbased agents to preserve past observations for future decisionmaking, where factual memory serves as its foundational part. However, existing approaches to constructing factual memory face several limitations.
연구ENArXiv AI
AIDABench: AI Data Analytics Benchmark
arXiv:2603.15636v1 Announce Type: new Abstract: As AIdriven document understanding and processing tools become increasingly prevalent in realworld applications, the need for rigorous evaluation standards has grown increasingly urgent.
연구ENArXiv AI
The Comprehension-Gated Agent Economy: A Robustness-First Architecture for AI Economic Agency
arXiv:2603.15639v1 Announce Type: new Abstract: AI agents are increasingly granted economic agency executing trades, managing budgets, negotiating contracts, and spawning subagents, yet current frameworks gate this agency on capability benchmarks that are empirically uncorrelated with operational...
연구ENArXiv AI
Form Follows Function: Recursive Stem Model
arXiv:2603.15641v1 Announce Type: new Abstract: Recursive reasoning models such as Hierarchical Reasoning Model HRM and Tiny Recursive Model TRM show that small, weightshared networks can solve computeheavy and NP puzzles by iteratively refining latent states, but their training typically relies...