Natural Language Processing (NLP)

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刚刚,NLP先驱、斯坦福教授Manning学术休假,加盟风投公司任合伙人
机器之心· 2025-07-03 00:22
机器之心报道 机器之心编辑部 NLP 领域被引用次数最多的研究者之一、斯坦福人工智能实验室(Stanford AI Lab)前主任克里斯托弗・曼宁(Christopher Manning)已从斯坦福大学休假,加入 风险投资公司 AIX Ventures 担任普通合伙人。 来源:https://www.wsj.com/articles/ai-researcher-christopher-manning-takes-leave-from-stanford-for-aix-ventures-0ab3cb4e?st=gLsy7t 对于曼宁的加入,AIX Ventures 的创始合伙人 Shaun Johnson 表示:「所有顶尖的 AI 原生工程师都认识 Chris,并且他们都希望与他合作。」 NLP 领域的先驱 曼宁教授是将深度学习应用于 NLP 领域的早期领军人物,在词向量 GloVe 模型、注意力、机器翻译、问题解答、自监督模型预训练、树递归神经网络、机器推 理、依存解析、情感分析和总结等方面都有著名的研究。 此前,曼宁自 2021 年起以兼职投资人身份与 AIX 展开合作,现在将全职投入为公司提供咨询服务。 ...
供应链金融快速发展背后的技术赋能
Jin Rong Shi Bao· 2025-06-24 03:07
金融科技的深度赋能是供应链金融行业快速发展的重要驱动力。从业界相关研究可见,AI大模型的应 用正在重构供应链金融的资金流、信息流与风控流程。通过自然语言处理(NLP)技术,金融机构能够自 动化地抽取关键信息,实现全流程的智能化审核。例如,在应收账款转让和回款核对等环节,AI技术 可以将对账与结算的自动化水平提升至92%,显著降低人工操作成本和错误率。 金融科技的深度赋能可以提升供应链金融的风控质效。比如,在动产融资领域,通过物联网、区块链等 技术手段,实现动产的全流程监控与确权,可以有效消除金融机构的风险顾虑。再如,AI大模型通过 多维度数据分析,全面评估供应商的信用风险,能够辅助金融机构作出更精准的融资决策。灼识咨询发 布的《2025中国供应链金融科技行业蓝皮书》表明,AI技术的应用使得智能风控与预警分析的效率提 升至90%,坏账率降低至0.3%。建立智能化的风控模式不仅推动了供应链金融行业降本增效,更进一步 提高了金融服务的安全性。 供应链金融的健康发展离不开扎实的产业基础设施和制度保障,建立制度化、数字化的管理体系和基础 设施是供应链金融安全合规的前提。2025年4月26日,中国人民银行、金融监管总局、 ...
Tencent Says AI Spending Is Yielding Results
PYMNTS.com· 2025-05-14 16:08
Group 1: Tencent's AI Investments and Financial Performance - Tencent's AI investments have started to yield positive results, contributing significantly to its gaming and advertising sectors, with a revenue increase of 13% year over year to 180 billion yuan ($25 billion) [1] - CEO Ma Huateng emphasized that the company is increasing spending on new AI opportunities, including the Yuanbao application and AI integration in Weixin [1][2] - The operating leverage from existing high-quality revenue streams is expected to help absorb additional costs from AI investments, leading to healthy financial performance during this investment phase [2] Group 2: Market Position and Analyst Insights - Analysts from Citi described Tencent's earnings results as "stronger-than-expected," while Morgan Stanley noted that improvements in AI advertising technology could enhance Tencent's ad revenue growth compared to peers [2] - Tencent benefits from valuable user data from Weixin and WeChat, which had 1.4 billion monthly active users as of March [2] - Despite concerns over American tariffs affecting Chinese tech stocks, Tencent's revenue primarily comes from China, and its stock has risen 25% this year [3] Group 3: Broader AI Trends in Financial Services - The rise of large transaction models (LTMs) in generative AI is noted as a potential game-changer for security and efficiency in financial services [4] - Traditional machine learning models have been used by payment players and banks to enhance transaction processing, but their limitations are prompting a shift towards transformer-based models, which have shown transformative effects in natural language processing [5]