Recently, the results of the 2024 IEEE von Neumann Award were officially announced. This year’s award was won by Stanford professor and AI scholar Christopher Manning (
Christopher Manning). The reason for the award was "Promoting natural language computational representation and advances in analysis.”
The IEEE John von Neumann Medal was established in 1990 in honor of the famous mathematician and one of the founders of modern computers, John von Neumann Medal.・Named after Neumann to commend scientists who have made outstanding achievements in the fields of computer science and technology. John von Neumann's work at the Institute for Advanced Study led to the creation of the IAS binary stored-program computer in 1952, IBM's model for the first all-electronic stored-program computer (the 701).
Previously, many well-known computer scholars have won this award, including Gordon Bell, Knuth, Edwin Catmull,
John Hopcroft, Michael I. Jordan et al.
Stanford AI Lab social account congratulates Manning on winning the award
In recent years, natural language processing (NLP) represented by large models has Technology has brought new breakthroughs in the field of artificial intelligence. Professor Christopher Manning is an early leader in applying deep learning to the field of NLP. He is an expert in word vector GloVe models, attention, machine translation, question answering, self-supervised model pre-training, tree recurrent neural networks, machine reasoning, and dependency parsing. There are well-known studies in aspects such as , sentiment analysis and summary. He also focuses on computational linguistics methods for parsing, natural language reasoning, and multilingual language processing, with the goal of enabling computers to intelligently process, understand, and generate human language.
Professor Manning received his bachelor's degree from the Australian National University and his doctorate from Stanford University in 1994. He has taught at Stanford University since 1999.
He is the first Thomas M. Siebel Professor of Machine Learning in the Department of Linguistics and the Department of Computer Science at Stanford University, the director of the Stanford Artificial Intelligence Laboratory (SAIL), and a professor at Stanford University. Deputy Director of the Human Centered Artificial Intelligence Institute (HAI). In 2023, Manning received an honorary doctorate from the University of Amsterdam for his key role in computer natural language processing.
Professor Manning has co-authored textbooks on statistical methods for NLP (Manning and Schütze 1999) and information retrieval (Manning, Raghavan, and Schütze, 2008) , as well as linguistic treatises on parts of speech and complex predicates. His Foundations of Statistical Natural Language Processing is a standard text in the field and required reading for generations of students. His Stanford CS224N Natural Language Processing and Deep Learning online course video has also been viewed by hundreds of thousands of people.
In more than 20 years of teaching career, Professor Manning has trained many outstanding talents in the field of computer science, including students from China such as Chen Danqi and Wang Mengqiu. .
Previously, Professor Manning has been selected as ACM Fellow, AAAI Fellow and ACL Fellow, and also served as the former president of ACL (2015). His research has received ACL, Colin, EMNLP, and CHI Best Paper Awards, as well as the ACL Time Test Award.
As a well-known NLP scholar, Professor Manning always pays attention to cutting-edge technology trends in the field.
In 2022, Professor Manning published an article titled "Human Language Understanding & Reasoning" in the AI & Society special issue of the American Academy of Arts and Sciences (AAAS) journal. The nature of semantics and language understanding is discussed, and the future of large models is envisioned.
"With technological breakthroughs in the field of NLP, we may have taken a firm step in the direction of Artificial general intelligence (AGI)."
In the wave of large models in 2023, Manning also participated in and published a number of related studies.
In addition to the von Neumann Award, IEEE also announced the remaining awards for 2024. The complete list is available at: https://corporate-awards.ieee.org/ recipients/current-recipients/#1701111060092-2b9778b5-4f7c
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