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。

Anthropic构建了一个多智能体研究系统，通过智能体协作和动态调整，提高了复杂任务的研究效率。尽管存在高昂的token消耗和协调复杂性，该系统在处理开放式问题时表现优异，特别适合广度优先查询的任务。

SIGIR 2025 papers by Bloomberg's AI engineers present contributions aimed at making information retrieval systems more robust, effective, and efficient in the age of generative AI The post...

What path is UX research on? Imagine if, amidst all the doom and gloom, the future for UX research was looking bright. It’s not just an exercise in wishful thinking: if we want to arrive in a...

机器之心数据服务现已上线，提供高效稳定的数据获取服务，简化数据爬取流程。

本研究提出了一种基于变压器的多模态基础模型，旨在解决通信系统中任务特定解决方案不足的问题。该模型能够直接处理通信数据，成功应对分词、位置嵌入等挑战，并展示了在传输秩和多普勒扩展等特征上的应用潜力。