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Google’s main scientist discusses artificial intelligence heritage and foreseeable future at Rice | Rice Information | Information and Media Relations

Google’s main scientist discusses artificial intelligence heritage and foreseeable future at Rice | Rice Information | Information and Media Relations


Jeff Dean, chief scientist at Google, spoke at Rice College Feb. 13 to explore trends in synthetic intelligence (AI) and equipment understanding (ML).

Dean was integral to developments in the fields of AI and ML and he continues to form the potential, explained Ken Kennedy Institute Director Lydia Kavraki, who offered an introduction. She explained the institute envisions a globe wherever investigate in AI, facts and computing empowers all persons and improves human practical experience.

Jeff Dean. Image by Jeff Fitlow.

Dean’s spots of target not only include things like AI and ML but the programs of AI to troubles that assistance billions of individuals in societally advantageous strategies. His operate has been elementary to quite a few generations of Google’s research motor, its preliminary advert serving program, dispersed computing infrastructure such as BigTable and MapReduce, and the Tensorflow open up-supply device mastering procedure as very well as several libraries and developer applications.

The packed auditorium of pupils, personnel and faculty listened to Dean present the get the job done of his teams and others at Google, showcasing above a 10 years of AI and ML progress as nicely as what he sees as thrilling trends on the horizon.

“In latest decades, I feel equipment finding out has truly modified our expectations of what we believe of personal computers becoming equipped to do,” Dean mentioned. “If you imagine again 10 or 15 years in the past, speech recognition kind of labored, but it wasn’t really seamless — it designed heaps of mistakes. Computer systems did not really recognize images from the pixel degree of what was in that picture. There was a bunch of work in organic language processing, but it was not genuinely a deep being familiar with of language concepts and multilingual information.

“But I feel we have moved from that stage to just one exactly where you basically expect personal computers to be in a position to see and perceive the earth around us in a a great deal far better way than they were being in a position to 10 many years in the past. And that opens up all varieties of awesome options in really much every single field of human endeavor.”

Photo by Jeff Fitlow.

This achievements can be attributed to scale — expanding the scale of the pc, knowledge or design measurement tends to deliver improved results, Dean spelled out. He also famous that new versions and techniques have had extraordinary implications for implementing ML to quite a few troubles in the entire world in science, engineering and health.

“Every time we scale issues up, things get improved,” he explained. “All of a sudden, new capabilities emerge or the accuracy of some problem reaches a threshold, wherever before it was sort of unusable and now all of a unexpected it results in being usable, and that enables new types of things.”

The speak was sponsored by the Ken Kennedy Institute, an interdisciplinary team that is effective collaboratively on groundbreaking exploration in AI, info and computing. View Dean’s lecture on the Ken Kennedy Institute’s YouTube below.



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Written by bourbiza mohamed

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