ΑΙhub.org
 

Congratulations to the #IJCAI2021 award winners


by
01 July 2021



share this:
winners' medal

The winners of three IJCAI awards have been announced. These three distinctions are: the Award for Research Excellence, the John McCarthy Award and the Computers and Thought Award.

IJCAI-21 Award for Research Excellence

The Research Excellence award is given to a scientist who has carried out a program of research of consistently high quality throughout an entire career yielding several substantial results.

The winner of the 2021 Award for Research Excellence is Richard Sutton (University of Alberta). Richard is recognized for his fundamental contributions to the foundation of reinforcement learning.

IJCAI-21 Computers and Thought Award

This award is presented to outstanding young scientists in artificial intelligence.

The winner of the 2021 IJCAI Computers and Thought Award is Fei Fang (Carnegie Mellon University). Fei is recognized for her contributions to integrating machine learning with game theory and the use of these novel techniques to tackle societal challenges, such as more effective deployment of security resources, enhancing environmental sustainability, and reducing food insecurity.

IJCAI-21 John McCarthy Award

This award is intended to recognize established mid-career researchers, typically between fifteen to twenty-five years after obtaining their PhD, that have built up a major track record of research excellence in artificial intelligence.

The winner of the 2021 John McCarthy Award is Tuomas Sandholm (Carnegie Mellon University). Thomas is recognized for his significant research contributions to multiagent systems, computational economics, optimization and game playing, and their application in real-world settings.


The recipients were selected on the recommendation of the IJCAI-21 Awards Selection Committee:
Thomas Eiter, Vienna University of Technology, Austria
Maria Gini, University of Minnesota Twin Cities, USA
Luc De Raedt, KU Leuven, Belgium
Dan Roth, University of Pennsylvania, USA
Chengqi Zhang, University of Technology Sydney, Australia
Qiang Yang, Hong Kong University of Science and Technology, Hong Kong, China (Chair)



tags:


AIhub is dedicated to free high-quality information about AI.
AIhub is dedicated to free high-quality information about AI.




            AIhub is supported by:


Related posts :



Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.

Images of AI – between fiction and function

“The currently pervasive images of AI make us look somewhere, at the cost of somewhere else.”

Grace Wahba awarded the 2025 International Prize in Statistics

  16 Apr 2025
Her contributions laid the foundation for modern statistical techniques that power machine learning algorithms such as gradient boosting and neural networks.

Repurposing protein folding models for generation with latent diffusion

  14 Apr 2025
The awarding of the 2024 Nobel Prize to AlphaFold2 marks an important moment of recognition for the of AI role in biology. What comes next after protein folding?

AI UK 2025 conference recordings now available to watch

  11 Apr 2025
Listen to the talks from this year's AI UK conference.

#AAAI2025 workshops round-up 2: Open-source AI for mainstream use, and federated learning for unbounded and intelligent decentralization

  10 Apr 2025
We hear from the organisers of two workshops at AAAI2025 and find out the key takeaways from their events.

Accelerating drug development with AI

  09 Apr 2025
Waterloo researchers use machine learning to predict how new drugs could affect the body




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association