欢迎 4 月 14 日晚（北京时间晚 22:00）免费 🆓 参加英国皇家化学会 ChemSpider 网站举办的线上研讨会，特邀报告人会分享关于如何开启人工智能 (AI) 与机器学习 (ML) 之旅的见解。

ChemSpider Webinar: Where to begin with AI and ML?

活动亮点：

在科研数字化转型的今天，AI 和 ML 正成为突破实验瓶颈的关键。本场研讨会将带你深入探讨：

开发实践：如何着手开发适用于化学研究的 AI/ML 模型？
数据核心：如何高效重用数据以及如何选择正确的数据源？

伦理规范：在使用这些前沿技术时，我们需要关注哪些伦理问题？

我们期待与您共同探索 AI 和 ML 在化学领域的应用潜力。

欢迎点击文末“阅读原文”或扫描识别下方二维码注册参加。更多详情，请下滑查看。

报告人

Nessa Carson

阿斯利康

Professor of Computational Chemistry

Nessa Carson received Master’s degrees in synthesis and catalysis from Oxford University and the University of Illinois at Urbana-Champaign. She started out as a synthetic chemist for AMRI, then moved within the company to run the high-throughput automation facility for Eli Lilly in Windlesham, working across discovery and process chemistry, then in high-throughput reaction optimization at Pfizer and then Syngenta. Nessa moved to AstraZeneca in 2022 as Digital Champion, focussing on digital transformation and making life easier for scientists, and currently works in the Predictive Science, Digital, and Automation team. She was awarded the Salters' Institute Centenary Award for early-career chemists with the potential to make an outstanding long-term contribution to industrial chemistry.

欢迎联系我们发布论文报道
📧RSCChina@rsc.org

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线上学习: ChemSpider研讨会：人工智能与机器学习（AI & ML）入门指南

报告人