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

Past Events

ECOC2025

NECLA at ECOC 2025: Advancing Optical Communication and Distributed Sensing

NEC Laboratories America (NECLA) was proud to join the European Conference on Optical Communication (ECOC 2025) in Copenhagen, Denmark, from September 28 to October 2. Our researchers presented cutting-edge work in distributed acoustic sensing, AI-driven fiber optics, and optical networking. From generative models for event classification to digital twins and entomological observations using telecom fibers, these sessions highlighted NECLA’s role in shaping the future of intelligent and resilient communication systems. In addition, NECLA’s Fatih Yaman co-organized a workshop on emerging frontiers in optical communication.
Read more
Xujiang Zhao BYU

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 robust and transparent in high-stakes applications like healthcare and autonomous systems. Attendees will gain insights into how uncertainty quantification is shaping the next generation of responsible AI.
Read more