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2225
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Исследования1 мин

PlaceReasoner-Beta: Reasoning-Driven Macro Placement and Benchmarking

Automated macro placement remains a fundamental challenge in VLSI physical design. Despite decades of research, existing approaches predominantly optimize hand-crafted proxy objectives, such as estimated wirelength, and typically produce placements through one-shot numerical…

arXiv — cs.AI
Исследования1 мин

Implicit Rule Induction with Test-Time Task Embeddings in ARC-like Tasks

The Abstraction and Reasoning Corpus and related benchmarks evaluate whether AI models can solve novel reasoning tasks, but often leave unclear whether success reflects inference of the intended underlying rule or reliance on shortcuts. We address this gap by studying test-time…

arXiv — cs.AI
Исследования1 мин

Attention-Aware Routing: Coupling Routing and Attention in MoEs

In Mixture-of-Experts language models, the router typically selects and weights experts based on the token's hidden state, utilizing limited contextual information. We propose Attention-Aware Routing (AAR), which augments the router with temporal and spectral features extracted…

arXiv — cs.AI
Исследования1 мин

CaLR: Causal Latent Revision for Robust Diffusion Reasoning

Autoregressive (AR) models suffer from local greediness, while diffusion language models (DLMs) often lack the strict causal structure required for reasoning. To combine the advantages and overcome the drawbacks of the dual, we propose Causal Latent Revision (CaLR), a framework…

arXiv — cs.AI
Исследования1 мин

LoRA Enhanced Contrastive Learning with SAS Vision Transformers

Automatic target recognition (ATR) with synthetic aperture sonar (SAS) supports advanced naval capabilities, but deep learning is constrained by scarce target imagery, background clutter, and human-in-the-loop assessment. We adapt DINOv3 Vision Transformer (ViT) models to…

arXiv — cs.AI
Исследования1 мин

Can Agents Design Better Chips with a Higher Level Abstraction?

Large Language Model (LLM) agents are increasingly being explored for chip design, but most existing approaches operate directly at RTL. We ask whether agents can design better chips by leveraging higher-level abstractions. We compare Direct RTL Design, Agent-based HLS Design,…

arXiv — cs.AI
Исследования1 мин

GameASG-Bench: Benchmarking Autonomous Software Generation for Game Development

Autonomous software generation (ASG) aims to turn human requirements into executable applications, but delivering these applications does not necessarily establish that their interacting components satisfy the specified behavioral requirements. We introduce GameASG-Bench, a…

arXiv — cs.AI
Исследования1 мин

有效第三方评估的优先事项和原则

OpenAI 概述了对前沿模型和保障措施进行严格、安全和独立的第三方人工智能安全评估的优先事项和原则。

OpenAI Blog
Исследования1 мин

下巴都掉下来了。字面上地。” Cooley 如何利用 OpenAI 重新构想 IPO

“我们如何为客户节省时间、精力和精力?”对于 Cooley 首席创新官 David Wang 来说,这个问题是 IPO 准备工作的核心,因为信息请求、起草会议和审查对高级管理人员提出了很高的要求。通过 GO Public,建立了……

YouTube — OpenAI Official
Исследования1 мин

数学与人工智能顾问小组

OpenAI 正在与一个独立的数学和人工智能咨询小组合作,指导新兴人工智能成果的审查和交流。

OpenAI Blog
Исследования1 мин

联合国表示人工智能保障措施不能等待确定性

纽约联合国总部的联合国标志。 |联合国科学小组在该全球组织对 OpenAI 的首次重大评估中警告称,各国政府需要在充分了解人工智能代理的风险之前对其进行控制。

The Verge — AI
Исследования1 мин

为人工智能下一阶段制定标准

OpenAI 概述了一条共享全球人工智能标准的道路,呼吁协调评估、报告和治理以提高安全性。

OpenAI Blog
Исследования1 мин

通过新的学习路径扩展 OpenAI Academy

为员工、开发人员、领导者、教育工作者和学生探索新的 OpenAI Academy 学习路径,以构建和展示实用的 AI 技能。

OpenAI Blog
Исследования1 мин

英伟达首席执行官将人工智能恐惧视为“世界末日叙事”

Nvidia 首席执行官黄仁勋驳斥了人工智能可能在 2030 年导致人类终结的担忧,称此类警告为“世界末日叙事”。他强调了负责任的人工智能开发的重要性,并批评了一些行业领导者要求减缓进展的呼吁......

Digital Donut AI Digest
Исследования1 мин

对人工智能失业的恐惧已经超过了对新职业出现的希望

😟 对人工智能失业的恐惧已经超过了对新职业出现的希望。皮尤研究中心对37个国家的居民进行了调查,结果发现:在其中34个国家,人们更多地期望未来20年人工智能将减少就业机会,而不是创造新的就业机会。而且...

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