Uncertainty Quantification and Reasoning for Reliable AI at Brigham Young University

September 22, 2025||inEvents|tagsbrigham young university, reliable ai, uncertainty quantification, uncertainty quantification and reasoning for reliable ai, xujiang zhao

Xujiang Zhao, a researcher in our Data Science & System Security department will present the “Uncertainty Quantification and Reasoning for Reliable AI” seminar on advancing trustworthy AI at the Talmage Math Sciences/Computer Building, TMCB 1170, Brigham Young University, on Thursday, Sept 25th at 11am. As AI systems play a greater role in critical decisions, understanding how to measure and reason about uncertainty is essential.

Xujiang Zhao BYU

Xujiang will share how advanced statistical modeling and reasoning frameworks can make AI more robust, transparent, and reliable in real-world applications from healthcare to autonomous systems. Don’t miss this opportunity to engage with cutting-edge research and learn how uncertainty quantification is shaping the next generation of responsible AI.

Related Papers

Uncertainty Quantification and Reasoning for Reliable AI Seminar at Brigham Young University

Our researcher Xujiang Zhao will present “Uncertainty Quantification and Reasoning for Reliable AI” at Brigham Young University on Thursday, Sept. 25 at 11 a.m. in TMCB 1170. The seminar explores how statistical modeling and reasoning frameworks can strengthen trustworthy AI, making systems more

Read more

Uncertainty Quantification for In-Context Learning of Large Language Models

/2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024), Mexico City, Mexico

In-context learning has emerged as a groundbreaking ability of Large Language Models (LLMs) and revolutionized various fields by providing a few task-relevant demonstrations in the prompt. However, trustworthy issues with LLM’s response, such as hallucination, have also been actively discussed. Existing

Read more

Read About Our Future and Past Events

ICML 2026 SMM

NEC Labs America Attends ICML 2026 Seoul, South Korea July 6-11, 2026

NEC Laboratories America researchers are heading to Seoul this July for ICML 2026, the Forty-Third International Conference on Machine Learning. One of the most prestigious gatherings in the field, ICML draws academic and industry researchers from around the world to share work spanning machine learning, artificial intelligence, data science, and their many applications.
Read more
ACL 2026

NEC Labs America Attends ACL 2026 San Diego July 2-7, 2026

NEC Laboratories America heads to ACL 2026 in San Diego, California, July 2–7, to present accepted papers spanning knowledge updating and memory control in large language models, task-aware cultural alignment, uncertainty-aware reasoning, and adaptive chain-of-thought optimization, representing some of the most active frontiers in NLP and AI research today.
Read more
OECC 2026

NEC Labs America Attends OECC June 28 – July 2, 2026

NEC Laboratories America is proud to participate in OECC 2026, the 31st Opto-Electronics and Communications Conference, taking place in Busan, South Korea. We look forward to connecting with the international photonics and communications community and sharing the work we're doing to shape the next generation of optical networks.
Read more
CVPR LATEST

NEC Labs America Attends CVPR 2026 in Denver, CO June 3-7, 2026

NEC Labs America headed to Denver for CVPR 2026, one of the most prestigious gatherings in computer vision, machine learning, and pattern recognition. The IEEE/CVF Conference on Computer Vision and Pattern Recognition brought innovators from around the world to share breakthroughs.
Read more