邀請函:人工智能在安全關鍵領域的應用現狀及發展趨勢研討會
對于航空航天、軌道交通、汽車電子等安全關鍵領域,隨著人工神經網絡的日臻完善和成熟,人工智能也正在逐漸的發揮日益重要的作用, 為這些系統的制造者和使用者帶來了更多的便捷和更可靠的安全。許多業界的巨頭都在投入巨大資金和人力不斷探索人工智能技術。近年來, 包括中國在內的許多國家都開始研究并運用人工智能來提高鐵路信號控制和列車自動駕駛的安全。
目前,人工智能在安全關鍵領域中的應用還只是剛剛起步,面臨的挑戰還很多,比如對于基于人工智能的系統,如何保證其滿足相關安全標準確定性的要求;如何保證其魯棒性的決策;如何有效驗證自主控制系統的安全性;如何快速對海量數據作出分析響應滿足其實時性要求等。
ANSYS公司作為全球數字化仿真領域的領導者,此次攜手創景科技,邀請到了卡內基梅隆大學人工智能領域的專家,共同舉辦“人工智能在安全關鍵領域的應用現狀及發展趨勢研討會”。在此,我們誠邀您的加入,與大家共同探討人工智能在安全關鍵領域應用的現狀、方向、挑戰與前景。
本會議免費報名,但只有通過審核的報名才能收到正式邀請。如有不便,敬請原諒。

日程安排
08:30-09:00
參會者注冊登記
09:00-09:15
致歡迎詞
馬金梭 ANSYS China SBU亞太區區域銷售總監
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在智能交通的應用
秦煒 上海創景信息科技有限公司副總裁
17:00-17:15
答疑
演講人
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.

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會議時間:2018年5月10日
會議地點:北京
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