Overview
Boer is an AI research platform for scientists worldwide, deeply combining a self-built research foundation model, 160 million+ scholarly papers, multi-discipline knowledge bases, cutting-edge experiment capability, and large-scale compute. From literature mining and experiment design to research translation, Boer uses AI to speed every step of discovery. Search that hits: intent recognition and multimodal support. Domain strength: research models and cross-discipline knowledge. Fresh updates: real-time tracking of the latest global results. Deep understanding: breaks hard questions down to research detail. Smarter than classic academic search — leave keyword-match limits → understand research intent precisely; break single-modality retrieval → mix images, molecules, and more; cross domain blind spots → smart match across knowledge bases. More accountable than generic AI — refuse hallucination and fabrication → 100% literature tracing; end stale knowledge → track new findings daily; fix missing personalization → recommendations from a research profile. Start from one question and do research end to end: smart recommendations for frontier papers and related scholars; multi-dimension literature alerts; knowledge management so papers, notes, and chats stay together with multi-paper AI extraction; a research ecosystem of apps, courses, contests, and more.
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玻尔是面向全球科研人员的 AI 科研平台,深度融合自研科研大模型、1.6亿+学术文献、多学科知识库、前沿实验能力和海量算力资源。从文献挖掘、实验设计到成果转化,玻尔用 AI 加速科学发现的每一步。搜得准:智能意图识别与多模态支持专业强:科研大模型与跨学科知识库更新快:实时追踪全球最新科研成果理解深:专业问题拆解直达科研细节比传统学术搜索更聪明告别「关键词匹配」的局限 → 精准理解科研意图打破「单一模态检索」的困境 → 支持图片、分子等混合输入突破「专业领域盲区」 → 跨学科知识库智能匹配比通用 AI 工具更负责拒绝「AI幻觉与编造」 → 100%文献溯源终结「知识更新滞后」 → 每日追踪最新研究成果破解「个性化缺失」 → 基于研究画像的精准推荐从问一个问题开始,一站式做好科研:智能推荐:精准发现前沿文献与相关学者文献订阅:多维度实时追踪最新成果知识管理:论文/笔记/对话不再散落,AI 多篇提取科研生态:科研App、课程、竞赛……丰富的科研资源