This semester, we're excited to host a series of virtual fireside chats with a diverse group of practitioners who are applying AI and machine learning in real-world settings. Our speakers, who come from a variety of industries including biotech, consumer tech, and automotive, will share their experiences, challenges, and insights from working on AI projects. Whether it's improving recommendation systems, exploring the potential of AI in healthcare, or developing new technologies for autonomous driving, these conversations will provide a broad perspective on how AI is being integrated and utilized across different sectors today.
These sessions are part of our seminar class, which meets Tue/Thu 11:35am - 12:50pm.
We're very glad to be having our next Guest Speaker, Eric Ma, join us for this session. In his own words: "I am a Principal Data Scientist at Moderna Therapeutics and alumni of Novartis, Insight Data Science, MIT, and UBC. I aim to make science run at the speed of scientists' creative thought. My teammates and I use probabilistic models, deep neural networks, network science, and large language models as tools in our toolkit to make this happen."
More on LinkedIn and his personal website, https://ericmjl.github.io/.
For the virtual fireside chat, we'll be inviting questions on the following topics:
Please join us at https://yale.zoom.us/j/2826976052.
We're excited to welcome Cesare Ferri, a seasoned software engineer from Amazon, for a special in-person talk titled "Alexa's Acoustic Event Detection: a software engineering overview." Cesare will start with the key use case for this technology, then guide us through the system's architecture with diagrams, from user interfaces to backend machine learning services. The session will feature a Q&A, offering insights into the engineering behind Alexa's event detection. A great chance to learn from an industry insider.
Please join us at WTS A32 (60 Sachem St) on 2/15, 11:40am.
Ryan Rollings, PhD, an expert in machine learning systems and the complexities of integrating these technologies within teams, will be our next guest speaker. With a wealth of experience from Upside and a background in physics and engineering, Dr. Rollings will shed light on why machine learning projects in industry can be challenging, the importance of platforms and processes, and how teams can work together more effectively. His talk promises invaluable insights for anyone looking to navigate the intricate landscape of ML systems and teamwork. Join us for this enlightening session and take the opportunity to engage with Dr. Rollings during the Q&A.
Please join the virtual talk at https://yale.zoom.us/j/2826976052, or join the class at WTS A32 (60 Sachem St) on 2/22, 11:40am.
Join us for an illuminating session with Dr. Alice Wang, a Senior Research Scientist at Spotify, as she offers an in-depth look into the world of recommender systems that power one of the world's leading music streaming platforms.
The in-person talk will begin with a comprehensive overview of recommender systems, starting from collaborative filtering, content filtering and hybrid approaches. Then, Dr. Wang will discuss how these systems are evaluated at Spotify to ensure they meet user needs and preferences. The presentation will also address specific challenges encountered in the field, such as data sparsity and making long-tail recommendations. Additionally, she will explore the role of Large Language Models (LLMs) in improving the performance and relevance of recommender systems at Spotify.
Following the presentation, we will open the floor to invite questions from the audience.
Please join us at WTS A32 (Watson Center, 60 Sachem Street) on 2/29, 11:40am.
We are thrilled to welcome Dr. Qingming Tang, a Senior Applied Scientist at Amazon AGI, for a thought-provoking virtual fireside chat on audio language models. As the tech lead for significant technical projects, Dr. Tang will discuss the latest advancements in audio generative AI and the unification of audio generation with understanding. This session will cover the challenges and breakthroughs in the field, and provide a comprehensive look at the development and application of these models.
Attendees will have the opportunity to engage directly with Dr. Tang and dive deeper into the nuances of generative AI. Don't miss this chance to learn from a leading expert in the industry.
Please join the virtual seminar at https://yale.zoom.us/j/2826976052, or join the class at WTS A32 (60 Sachem St) on 3/7, 11:40am.
We are honored to host a virtual fireside chat with Chen-Ping Yu, a pioneer at the intersection of AI, AR, and tech entrepreneurship. The chat will offer insights into the challenges and triumphs of bringing cutting-edge AI technologies to market. Attendees will have the opportunity to engage directly with Chen-Ping during the Q&A.
Speaker's bio:
Chen-Ping is an AI/tech entrepreneur and angel investor based in the San Francisco Bay Area. He is currently working at Google after founding and serving as CEO and CTO of Phiar, an early-stage AR/AI startup in the smart mobility space. Phiar was acquired by Google in September 2022.
During his time at Phiar, Chen-Ping served as a leader in the overall company development and operations, overseeing critical functions such as fundraising, business development, recruiting, product strategy and development, and R&D efforts focused on cutting-edge computer vision AI technology that revolutionizes how people navigate and experience the world, specifically through augmented reality navigation.
With over 10 years of rigorous academic training and research in Computer Vision and AI, Chen-Ping has made significant contributions to the field. His work has been recognized with scientific publications in leading venues such as NIPS, ICCV, ECCV, Psychological Science, and PNAS.
Chen-Ping is dedicated to creating real-world products that solve important pain points using the latest advancements in AI. As a strong advocate of responsible AI, he brings his deep expertise in the field to everything he does. Whether as an entrepreneur, investor, or mentor, Chen-Ping is committed to using AI to make a positive impact on the world.
Please join the class at WTS A32 (60 Sachem St), or join the virtual seminar at https://yale.zoom.us/j/2826976052.