Understanding Natural Language Understanding

Erik Cambria is a Professor at Nanyang Technological University, where he also holds the appointment of Provost Chair in Computer Science and Engineering, and Founder of several AI companies, such as SenticNet, offering B2B sentiment analysis services, and finaXai, providing fully explainable financial insights. Prior to moving to Singapore, he worked at Microsoft Research Asia (Beijing) and HP Labs India (Bangalore), after earning his PhD through a joint program between the University of Stirling (UK) and MIT Media Lab (USA). Today, his research focuses on neurosymbolic AI for interpretable, trustworthy, and explainable affective computing in domains like social media monitoring, financial forecasting, and AI for social good. He is ranked in Clarivate's Highly Cited Researchers List of World's Top 1% Scientists, is recipient of many awards, e.g., IEEE Outstanding Early Career, was listed among the AI's 10 to Watch, and was featured in Forbes as one of the 5 People Building Our AI Future. He is an IEEE Fellow, Associate Editor of various top-tier AI journals, e.g., Information Fusion and IEEE Transactions on Affective Computing, and is involved in several international conferences as keynote speaker, program chair and committee member.

Erik Cambria 是南洋理工大學的教授，並擔任計算機科學與工程的教務長椅職位，同時也是多家人工智慧公司的創辦人，例如 SenticNet，提供 B2B 情感分析服務，以及 finaXai，提供完全可解釋的財務洞察。在移居新加坡之前，他曾在微軟亞洲研究院（北京）和惠普實驗室印度（班加羅爾）工作，並通過英國斯特靈大學與美國麻省理工學院媒體實驗室的聯合計畫獲得博士學位。如今，他的研究專注於神經符號人工智慧，旨在實現可解釋、可信賴和可解釋的情感計算，應用於社交媒體監控、財務預測和社會公益的人工智慧等領域。他在克拉維特的全球前 1% 科學家高被引研究者名單中排名，獲得多項獎項，例如 IEEE 傑出早期職業獎，曾被列為 AI 的 10 位值得關注的人物之一，並在《福布斯》上被特別報導為塑造我們人工智慧未來的 5 位人物之一。他是 IEEE 會士，擔任多本頂尖人工智慧期刊的副編輯，例如《信息融合》和《IEEE 情感計算期刊》，並在多個國際會議中擔任主題演講者、程序主席和委員會成員。