Google Takes Center Stage at ICML 2023 with Cutting-Edge Machine Learning Research

Google’s Research Contributions to Machine Learning at ICML 2023

Google prides itself on actively pursuing research in the field of machine learning (ML), both in theory and application. Our ML systems are designed to tackle complex scientific and engineering challenges, covering areas such as language, music, visual processing, and algorithm development. We strive to foster a collaborative ecosystem with the wider ML research community by open-sourcing tools and datasets, publishing our work, and actively participating in conferences.

This year, we are excited to announce that Google is a Diamond Sponsor of the 40th International Conference on Machine Learning (ICML 2023), held in Honolulu, Hawaii. As a leader in ML research, Google has a strong presence at the conference, with over 120 accepted papers and active involvement in various workshops and tutorials. Additionally, we are proud to be a Platinum Sponsor for the LatinX in AI and Women in Machine Learning workshops. We are thrilled to share our extensive ML research and further strengthen our partnership with the ML research community.

If you are attending ICML 2023, we encourage you to visit the Google booth to learn more about the fascinating work, creativity, and fun involved in solving some of the most interesting challenges in the field. Keep an eye on the @GoogleAI Twitter account for updates on booth activities, including demos and Q&A sessions. You can also check out Google DeepMind’s blog to learn about their technical participation at ICML 2023.

To give you a glimpse of the groundbreaking research being presented at ICML 2023, here are some notable Google-affiliated papers:

1. Scaling Vision Transformers to 22 Billion Parameters: This blog post explores the advancements in vision transformers, with contributions from multiple researchers.

2. Fast Inference from Transformers via Speculative Decoding: A paper that focuses on improving the efficiency of transformers during inference.

3. Best of Both Worlds Policy Optimization: This research delves into policy optimization techniques for better performance.

These are just a few examples of the exciting research that Google is showcasing at ICML 2023. With a wide range of topics covered, we are confident that the conference will be a valuable platform for sharing knowledge and pushing the boundaries of machine learning.

Stay tuned for more updates from ICML 2023 and be sure to explore the diverse research presented by Google and the broader ML research community.

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