$10M will fund training for 60 postdoctoral fellows as part of international cohort.
$10M will fund training for 60 postdoctoral fellows as part of international cohort.
When decisions about your healthcare are informed by AI, bias in machine learning can have dire consequences. Ph.D. student Trenton Chang researches how inequities in healthcare delivery impact machine learning and AI.
The projects are a part of LG’s mission to advance AI such as Deep Reinforcement Learning, 3D Scene Understanding, and Reasoning with a Large-scale Language Model and Bias & Fairness related to AI ethics.
Team SEAGULL, led by doctoral student Yichi Zhang and advised by Prof. Joyce Chai, strives to develop embodied AI agents capable of attending to users’ needs, following natural language instructions, collaborating, and continuously improving through interaction.
The two will collaborate on building new programming techniques that are accessible to non-experts and non-programmers.
TrustForge, based on U-M research spearheaded by Austin and Bertacco, provides users with the ability to protect data using a process called sequestered encryption
The meetup was intended to foster connections between researchers across campus with an interest in the development and application of NLP.
Prof. Emeritus Daniel Atkins III chaired and Prof. Al Hero served on a National Academies committee that published a new report describing the impact of artificial intelligence and automated research workflow technologies in propelling research and scientific discovery.
His work in the area of real-time computing has spanned decades and has had impact in a broad range of applications.
The LG AI Research Center, and its partnership with U-M, represents a commitment by LG to become a leader in developing advanced AI technologies.