谷歌研究院在AI领域取得多项突破：Deep Review可分析技术文档，已用于多个顶级会议；Earth AI助力公共卫生，预测疾病暴发；AMIE医疗AI经《柳叶刀》研究验证，可辅助医患关系；CDC认定其模型预测流感住院最准；Project Suncatcher探索太空AI。这些成果推动健康、灾害应对等领域进步。

With GPT-6 Astra and GPT-6.1 Sol, Codex, and Daybreak for cybersecurity, this AI lab builds agents that focus for days and improve with use.

While debates about AI’s impact on the workforce dominate headlines, the biggest challenge ahead will be helping workers find the most direct pathway into growing jobs, write Eric Kutcher and...

Jump Trading uses OpenAI to expand quantitative research. See how longer-running AI workflows combine multiple data sources with human review.

AI is an amplifier; strategic focus on the organizational system brings the greatest returns. DORA's 2025 research on AI in software development provides team profiles and success capabilities...

GitLab's 2026 AI Accountability Report highlights an AI Paradox: although 78% of developers say they code faster, overall software delivery has not accelerated due to downstream testing and review...

By Zhuoning Yuan, Ta-Ying Cheng, Benjamin Klein, Bahareh AzarnoushIntroductionAt Netflix, we build technology to help storytellers bring their creative visions to life and to help members discover...

This compendium brings together five years of McKinsey research on how Latinos are reshaping America’s economic future and why expanding opportunity for this dynamic community is essential to...

Microsoft has introduced a new AI-driven vulnerability discovery system called MDASH, a multi-model agentic security platform designed to automate large-scale code auditing across Windows and...

Google announced Aletheia, an AI using Gemini 3 Deep Think that solved 6/10 novel math problems in the FirstProof challenge. Aletheia also scored ~91.9% on IMO-ProofBench, signaling a significant...

The future of AI should belong to all of humanity, well beyond a handful of countries or companies. For that to happen, AI needs to be open, trusted, and built in ways that give people,...

本文探讨了AI对社会科学研究的影响，指出AI超越传统研究方式，改变研究者的核心价值。作者经历了从依赖AI工具到与AI协作的转变，认为AI能提高研究效率，但研究者的判断力和思维仍然不可或缺。AI的崛起引发学术界争议，部分学者因担心自身价值受到威胁而抵制AI。最终，AI的进步将促使学术界重新思考研究的本质与价值。

AI usage on academic research is one of the best reference for AI application. Terence Tao The earliest application of AI on academic research is from Terence Tao, who use and share the usage of...

“With the rapid adoption of synthetic data and persistent misconceptions about the importance of research, getting stakeholder buy-in is a critical first step.” I’m optimistic about AI. It’s...

在波兰的Research@活动中，谷歌研究负责人Yossi Matias分享了“魔法循环”理念，强调现实挑战推动基础研究与科学突破。活动聚焦合作，展示了谷歌地球AI在公共健康和灾难响应中的应用，以及AI在科学研究中的协作潜力。