Welcome to the Exciting World of AI at ICML 2023
Exploring AI safety, adaptability, and efficiency for the real world
Gear up for the 40th International Conference on Machine Learning (ICML 2023)! Happening from July 23-29 in beautiful Honolulu, Hawai’i, this event is set to showcase the latest innovations in the world of artificial intelligence (AI).
Prepare to be amazed as researchers from different corners of the globe gather to share groundbreaking ideas, tools, and datasets across various domains like computer vision and robotics.
Don’t miss out on our director for science, technology & society, Shakir Mohamed, who will be delivering an engaging talk on machine learning with a social purpose. Get ready to delve into challenges in healthcare, climate, and how AI can strengthen global communities.
We take pride in being a Platinum Sponsor for ICML 2023 and are thrilled to collaborate with our esteemed partners: LatinX in AI, Queer in AI, and Women in Machine Learning to foster diversity and inclusion in the field.
Exciting demos await you at our booth, featuring AlphaFold, transformative fusion science advancements, and cutting-edge models like PaLM-E for robotics and Phenaki for generating video from text.
Google DeepMind researchers are set to unveil over 80 new papers at ICML this year, showcasing the power of collaboration and innovation in the AI landscape.
AI in the (simulated) world
Embark on a journey to explore the practical applications of AI in our everyday lives with our latest research. Discover how we are paving the way for more adaptable and embodied AI agents that can navigate the complexities of the real world.
Witness the unveiling of AdA, an AI agent capable of quick adaptation to tackle new challenges in a simulated environment, mirroring human problem-solving abilities.
Additionally, learn how vision-language models are revolutionizing the training of embodied agents, offering new possibilities for bridging the gap between AI and physical tasks.
The future of reinforcement learning
Gain insights into the core principles of reinforcement learning and how defining clear goals is essential for building responsible AI systems. Experience the exploration of the reward hypothesis and its implications for goal-oriented AI.
Join us as we discuss training reinforcement learning algorithms within constraints to ensure robustness and efficiency when deploying AI solutions.
Our award-winning research delves into teaching models complex strategies under uncertainty, showcasing AI’s potential in navigating challenging scenarios.
Challenges at the frontier of AI
Discover the quest for developing advanced AI systems that emulate human learning and adaptation processes. Uncover the secrets behind in-context learning and the evolution of neural networks in large language models.
Unravel the mysteries of plasticity in neural networks and its impact on AI performance over time, shedding light on ways to maintain adaptability in AI systems.
Venture into the realm of recurrent neural networks optimized for long-term reasoning tasks, propelling AI capabilities to new heights.
Explore innovative approaches like quantile credit assignment that aim to enhance AI’s understanding of complex real-world environments through skill evaluation.