With major support from the ALFRED P. SLOAN FOUNDATION
TOTAL RECALL (1990) takes place in the year 2084. The film follows the bored construction worker Douglas Quaid (Arnold Schwarzenegger) who dreams of visiting the colonized Mars. He visits “Rekall,” a company that plants false memories into people’s brains, in order to experience the thrill of Mars without having to travel there. But something goes wrong during the procedure; Quaid discovers that his entire life is actually a false memory and that the people who implanted it in his head now want him dead.
Prior to the film, Professor Eshed Ohn-Bar , from Boston University, will give a presentation via SKYPE entitled: “Machine intelligence for real-world, embodied, assistive and autonomous systems”
“Total Recall is slick, sly and subversive, and if some of the special effects have aged somewhat, that only adds to the charm.” – Time Out
“As Quaid, Schwarzenegger continues to stretch beyond his reach as an actor, relying on physical prowess to keep him in character.” – Chicago Tribune
Eshed Ohn-Bar’s research is in machine intelligence for real-world, embodied, assistive and autonomous systems. Specifically, Eshed has developed and evaluated learning, perception, planning, and control systems for safety-critical applications in navigation and transportation–including autonomous driving and assisted navigation to people with visual impairments.
Eshed research lies at the intersection of machine perception, learning, and human-computer interaction. Specifically, he is interested in robot learning for the perception and decision-making of real-world assistive and autonomous systems, such as autonomous driving and assistive mobile robots. He has received the 2017 best PhD dissertation award from the IEEE Intelligent Transportation Systems Society. His team is a finalist at the 2022 Department of Transportation’s Inclusive Design Grand Challenge. He also regularly organizes workshops about challenges in intelligent vehicles and systems at the IEEE Intelligent Vehicles Symposium and the Conference on Computer Vision and Pattern Recognition. He is an Assistant Professor in the ECE department at Boston University. Eshed received the BS degree in mathematics from UC Los Angeles in 2010, MEd from UC Los Angeles in 2011, and the PhD degree in electrical engineering from UC San Diego in 2017.
