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人工智能在安全关键领域的应用现状及发展趋势研讨会

作者: Simwe    来源:ANSYS    发布时间:2018-04-27    收藏】 【打印】  复制连接  【 】 我来说两句:(0逛逛论坛
对于航空航天、轨道交通、汽车电子等安全关键领域,随着人工神经网络的日臻完善和成熟,人工智能也正在逐渐的发挥日益重要的作用, 为这些系统的制造者和使用者带来了更多的便捷和更可靠的安全。许多业界的巨头都在投入巨大资金和人力不断探索人工智能技术。近年来, 包括中国在内的许多国家都开始研究并运用人工智能来提高铁路信号控制和列车自动驾驶的安全。

 

目前,人工智能在安全关键领域中的应用还只是刚刚起步,面临的挑战还很多,比如对于基于人工智能的系统,如何保证其满足相关安全标准确定性的要求;如何保证其鲁棒性的决策;如何有效验证自主控制系统的安全性;如何快速对海量数据作出分析响应满足其实时性要求等。

 

ANSYS公司作为全球数字化仿真领域的领导者,此次携手创景科技,邀请到了卡内基梅隆大学人工智能领域的专家,共同举办“人工智能在安全关键领域的应用现状及发展趋势研讨会”。在此,我们诚邀您的加入,与大家共同探讨人工智能在安全关键领域应用的现状、方向、挑战与前景。

 

本会议免费报名,但只有通过审核的报名才能收到正式邀请。如有不便,敬请原谅。

 

 

日程安排

 

08:30-09:00

参会者注册登记

09:00-09:15

致欢迎词

马金梭 ANSYS China SBU亚太区区域销售总监

09:15-10:30

Why Autonomy Safety Requires New Approaches 

- Understand why real-world testing alone will not ensure safety 

- Understand how and why classical safety approaches alone aren't enough to ensure the safety of autonomy 

- Implications of recent automated highway vehicle crashes on regulatory policies

Phil Koopman,Carnegie Mellon University

10:30-10:45

茶歇

10:45-11:45

Key Autonomy Validation Challenges 

- Discovering gaps and "unknowns" that have not been seen in full system testing 

- Implications of non-determinism in testing and simulation 

- How to detect and prevent brittleness in machine learning 

- Real-world examples of autonomy failures

Michael Wagner, Carnegie Mellon University

11:45-13:30

午餐

13:30-14:30

Best In Class Approaches To Comprehensive Autonomy Safety 

- General comprehensive approach to validating autonomous system safety 

- How to leverage multiple levels of simulation fidelity to minimize validation cost 

- How to reduce full-system testing miles by a factor of 100 by using automated edge case handling

Phil Koopman, Carnegie Mellon University

14:30-15:45

 Ensuring Autonomy Safety 

- ANSYS simulation platform 

- ECR Hologram autonomy testing tool running with ANSYS vehicle simulations finds safety gaps that have not been seen in full-system testing 

- ANSYS SCADE plus ECR Switchboard stress testing tool to improve software robustness and safety of all critical autonomy software

Michael Wagner, Carnegie Mellon University

15:45-16:00

茶歇

16:00-17:00

DDS在智能交通的应用

秦炜 上海创景信息科技有限公司副总裁

17:00-17:15

答疑

 

演讲人

Michael Wagner

Michael Wagner's experience with autonomous vehicles began nearly twenty years ago starting at Carnegie Mellon University. He built lunar rovers for Red Whittaker, autonomous scientists that explored Antarctica, and self-driving technology for tackling harsh off-road terrain. Ten years ago, Michael Wagner began researching techniques to design and verify autonomous systems. Today, as CEO of Edge Case Research, he apply this experience to lead Edge Case Research with the goal of providing validation technology for autonomy across a range of industries including self-driving cars, materials handling, and robotic work cells.

 

Philip Koopman

As associate professor of Carnegie Mellon University, Philip Koopman is the Dependable Embedded System thrust leader for GM/CMU Vehicular Technology Collaborative Research Lab through 2015, the principal investigator for Stress Test for Autonomy Architectures project and follow-ons at the National Robotics Engineering Center, and faculty member of Robotics Institute and Institute for Software Research. Now he lead the Commercialization of robust embedded software services and consulting for multiple clients including government, startup companies, and Fortune-500 companies.

 

报名方式

 

会议时间:2018年5月10日

会议地点:北京

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