The blog is now maintaining a Google Calendar featuring upcoming notable artificial intelligence events. (If you would like to submit an event for inclusion, please contact Jodi Oley at firstname.lastname@example.org.)
The calendar will be updated on an ongoing basis, so check back or sync with your own calendar to stay in the loop. Here’s a quick preview of notable events happening in the next week:
PLM ReInvented MeetUp: Connected and Automated Vehicles – End-to-End Design, Traceability and Security
Tuesday, April 30, 6:00 to 8:30 p.m.
Microsoft Technology Center, 1 Campus Martius, Detroit, MI 48226, USA
Join us to discuss managing key functions of the product lifecycle for connected and automated vehicles (CAV). This event will focus on current strategies and solutions for CAV’s with an emphasis on solutioning trusted-platforms, connected services, and traceability of data generated necessary to build these vehicles. Hear Richard Doak, Chief Strategist for Automotive MFG at Microsoft, and Bill Bone, CTO for Automotive at Aras, present their views on business/technical challenges and solution opportunities for these vehicles in a casual environment.
Wednesday, May 1, 12:30 to 2:30 p.m.
Francois-Xavier Bagnoud Building, 1012 FXB, University of Michigan
The first half of this talk focuses on one aspect of this challenge, developing a mathematical model for a pedestrian’s behavior and studying its interaction with an automated vehicle at a mid-block, unsignalized intersection. By modeling pedestrian behavior through the concept of gap acceptance, we show that a hybrid controller with just four distinct modes allows an autonomous vehicle to successfully interact with a pedestrian across a continuous spectrum of possible crosswalk entry behaviors. The controller is validated through extensive simulation and compared to an alternate POMDP solution, with experimental results provided on a Hyundai research vehicle for a virtual pedestrian. The second half of this talk will focus on another contribution related to automated driving – a feedback-feedforward steering algorithm that enables an autonomous vehicle to accurately follow a specified trajectory at the friction limits while preserving robust stability margins. Experimental data collected from an Audi TTS driving at the handling limits (0.95 g) on a full length race circuit will demonstrate the performance of the controller design.
Thursday, May 2, 10:00 a.m. to 6:00 p.m.
Knocknarea Arena, Ash Ln, Ballytivnan, Sligo, F91 YW50, Ireland
This year’s Expo will concentrate on the exciting new developments facing industries in the coming decade. Labelled as Industry 4.0, businesses across the globe are having to adapt to new technology quicker than ever if they wish to thrive and even survive. Robotics, Artificial Intelligence, Internet of Things and Automation are all key buzzwords doing the rounds at the moment, but what do they mean and how will they affect industry and society in the near future?
Friday, May 3,⋅9:30 a.m. to 1:30 p.m.
Mohawk Valley Community College, Utica, NY 13501, USA
AAA New York State will host an Autonomous Vehicle Summit that will offer perspective on the future of self driving vehicles. Entitled “Navigating Our Transportation Future: Preparing New York for Autonomous Vehicles” the summit will bring together municipal planners, transportation professionals, business leaders, and lawmakers to discuss how autonomous vehicles will transform the state’s economy and transportation infrastructure and how New York’s policymakers should facilitate this new technology.
Friday, May 3, 10:40 to 11:30 a.m.
Ronald Reagan Building and International Trade Center, 1300 Pennsylvania Ave NW, Washington, D.C., 20004, USA
Mark Levy, one of the co-editors of the AI blog, will be on a panel discussing “Machine Learning, AI, and Digital Health” as part of the Food and Drug Law Institute’s Annual Conference in Washington, D.C., on May 2-3.
The panel will focus on digital health technologies, which are rapidly integrating into healthcare and life sciences – from wearables in clinical trials to digital tools for disease management and clinical decision support. Many of these technologies are and will deploy machine learning and artificial intelligence. This panel will discuss how these new technologies are being integrated and how FDA’s role in regulation will continue to evolve. FDA’s recent discussion paper on AI devices, as well as the challenges of AI regulation generally, such as liability, quality assurance, and approval pathways for a product that continually evolves will also be discussed.