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a, has given him pause, because this method lacks transparency. While recognizing the impressive achievements in deep learning by colleagues such as Michael Jordan and Geoffrey Hinton, he feels uncomfortable with this kind of opacity. He set out to understand the theoretical limitations of deep-learning systems
hich might be waived—share with us natural conscious agents our vulnerability or our mortality. I once posed a challenge to students in a seminar at Tufts I co-taught with Matthias Scheutz on artificial agents and autonomy: Give me the specs for a robot that could sign a binding contract with you—not as
a, has given him pause, because this method lacks transparency. While recognizing the impressive achievements in deep learning by colleagues such as Michael Jordan and Geoffrey Hinton, he feels uncomfortable with this kind of opacity. He set out to understand the theoretical limitations of deep-learning systems
hich might be waived—share with us natural conscious agents our vulnerability or our mortality. I once posed a challenge to students in a seminar at Tufts I co-taught with Matthias Scheutz on artificial agents and autonomy: Give me the specs for a robot that could sign a binding contract with you—not as
Microsoft Word - NautilusEducationTextSets-1.docx
heir own hands. “Families have to advocate,” says Isa- bel Jordan, chair of the Rare Disease Foundation. She encour
ysicians in diagnosing muscular dystrophy subtypes. That year, Wrubel’s husband, Lee, who holds a medical degree and a master’s in public health from Tufts, an MBA from Columbia University, and 1s a venture cap1- talist in the medical field, tracked down a neurologist HOUSE_OVERSIGHT_015492 --- PAGE BR
Page: HOUSE_OVERSIGHT_015494 →Entities connected to both Michael Jordan and Tufts

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