Automated or Autonomous: What Might Today’s Vehicles Tell Us About the Future? Bryan Reimer
The concept of automating vehicles and removing the driver from direct control of the throttle, brake, and steering wheel was first explored nearly 100 years ago. Over the decades since automation has infiltrated the automobile. Today we are closer than ever to realizing aspirations of a century ago, but challenges remain. This talk will center on elements of what is known about automation in the vehicle today and our evolution towards self-driving. Through the talk, results from an ongoing naturalistic study of ADAS and ADS being undertaken as part of the Advanced Vehicle Technology (AVT) consortium at MIT will be highlighted.
Read more about Bryan here >
Learning for Human-Centered Autonomy and Beyond, Lex Fridman
In this talk you will be presented to a human-centered paradigm for building deep learning based driver-assistance, semi-autonomous, and fully-autonomous vehicle systems, contrasting it with how the problem is currently formulated and approached in academia and industry. The talk will include our work in driver state sensing, transfer of control, pedestrian interaction, driver functional vigilance in real-world AI-assisted driving with Tesla Autopilot, as well as discussion of the role of driver self-regulation, experiential learning, system imperfection, and driver monitor in successful deployment of AI-assisted driving.
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Moderator: Sofie Vennersten, Program Director Drive Sweden
11.30-12.30 Lunch break (Please note that lunch is not included)
12.30 - 14.30
Information driven healthcare – prerequisites, challenges and applied AI, Philip Anderson and Markus Lingman
If data is the new oil, the healthcare industry tends to leave the oil in the ground – data is scattered in indecipherable formats across myriad different databases with different formatting, administrative ownership and privacy concerns, limiting our ability to achieve the kinds of transformational improvements in effectiveness and efficiency that have been achieved in other industries.
A multi-year collaboration between Region Halland in Sweden and the Brigham and Women’s Hospital in Boston has produced novel approaches to value-based, population oriented analytics and machine learning-based AI predictive modeling that are informing new more effective strategies for managing healthcare systems and delivering personalized precision medicine, on both sides of the Atlantic.
In this talk, we lay out the challenges, results to date and future opportunities with information driven care.
Read more about Philip and Markus here >
Moderator: Johanna Bergman, AI Innovation of Sweden.