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

NEURIPS 2025

NeurIPS 2025 in San Diego from November 30th to December 5th, 2025

NEC Laboratories America is heading to San Diego for NeurIPS 2025, where our researchers will present cutting-edge work spanning optimization, AI systems, language modeling, and trustworthy machine learning. multi-agent coordination, scalable training, efficient inference, and techniques for detecting LLM-generated text.
Read more
Eric Blow IPC2025 Monday

Eric Blow Presents at the IEEE Photonics Conference Singapore on November 10th & 13th

Eric Blow of NEC Labs will address how machine-learning methods applied to distributed acoustic-sensing data can monitor facility perimeters and detect intrusion via walk, dig, or drive events over buried optical fibre—for example achieving ~90% classification accuracy.
Read more