Google is proud to be a Platinum Sponsor of the European Conference on Computer Vision (ECCV 2022), a premier forum for the dissemination of research in computer vision and machine learning (ML). This year, ECCV 2022 will be held as a hybrid event, in person in Tel Aviv, Israel with virtual attendance as an option. Google has a strong presence at this year's conference with over 60 accepted publications and active involvement in a number of workshops and tutorials. We look forward to sharing some of our extensive research and expanding our partnership with the broader ML research community. We hope you'll visit our on-site or virtual booths to learn more about the research we're presenting at ECCV 2022, including several demos and opportunities to connect with our researchers.

Assistant Professor Sophia Shao, from UC Berkeley, discussed Gemmini, which enables users to explore and evaluate different deep neural network accelerators. Her worked earned the inaugural Dr. Sudhakar Yalamanchili Award. Recently, the Workshop on Modeling & Simulation of Systems and Applications marked its tenth year with a four-day virtual event that took a close look at the impact of artificial intelligence (AI) and machine learning on the field, as well as modeling and simulation's role in the exponential growth of AI technologies. While the focus of ModSim 2021 was aimed at the future, the event also honored the past by formally presenting the inaugural Dr. Sudhakar Yalamanchili Award to Sophia Shao, an assistant professor with the Electrical Engineering and Computer Sciences department at the University of California, Berkeley, for her work, Enabling Holistic Machine Learning Hardware Evaluation via Full-System Simulation. Shao presented her research during a multi-part Rapid Fire flash talk/digital poster session, which has become a staple at ModSim workshops that primarily features young talent in this scientific community.

List of organizing committee members for the Twenty-Fourth International Conference on Automated Planning and Scheduling.

List of organizers of the AAAI Fall Symposium, How SHould Intelligence Be Abstracted in AI Research: MDPs, Symbolic Representations, Artificial Neural Networks, or _____?

List of organizers of the AAAI Fall Symposium on Robots Learning Interactively from Human Teachers.

Thee symposium focused on combining human and machine inference. For unique events and data-poor problem, there is no substitute for human judgment. Even for data-rich problems, human input is needed to account for contextual factors. However, human are notorious for underestimating the uncertainty in their forecasts and even the most expert judgments exhibit well-known cognitive biases. The challenge is therefore to aggregate expert judgment such that it compensates for the human deficiencies. We hope that bringing researchers in this venue will provide meaningful discussions and further inspire interesting research in this direction.

List of organizers of the Twenty-First International Conference on Automated Planning and Scheduling, held in Freiburg, Germany, on June 11–16, 2011.

List of organizers of the Logical Formalizations of Commonsense Reasoning AAAI symposium.

Cochairs and Program Committee for the AAAI 2010 Symposium on Dialog with Robots.

The Association for the Advancement of Artificial Intelligence held its 1994 Fall Symposium Series on November 4-6 at the Monteleone Hotel in New Orleans, Louisiana. This article contains summaries of the five symposia that were conducted: (1) Control of the Physical World by Intelligent Agents, (2) Improving Instruction of Introductory AI, (3) Knowledge Representation for Natural Language Processing in Implemented Systems, (4) Planning and Learning: On to Real Applications, and (5) Relevance.