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。

An open-source agent template for investment research that integrates Financial Datasets' real-time and historical market data.

本文讨论了自监督视觉模型DINO及其在目标检测中的应用，重点介绍了Grounding DINO和DINO-X。Grounding DINO通过语言信息将闭集检测器扩展到开放集场景，采用双编码器-单解码器架构，结合图像和文本特征进行对象检测，创新设计了特征提取、增强和查询选择等方面，以提升检测性能。