The Ledger, every show

“So it is going to happen in China. I have no doubt about it.”

“You know, our cities and the state have such dramatic issues, and yet you pull out the high tech sector. I mean, the state and the city of San Francisco will collapse.”

“So you care about energy efficiency even in these large data centers, and when it comes to that measure, the CISC architectures are far behind.”

“I think we're in a tricky position right now, especially around the machine learning AI area, where there are lots of faculty who are leaving, and that will hurt the industry in the long term, because that means we're eating the sea corn.”

“Rather than the industry converging on one risk architecture, they converged on three or four. That gave Intel a real lead up because they didn't have to beat anyone. They had to kind of beat these little three or four.”

“Yeah, the iPhone was really the taking-off point. Some of the earlier Nokia phones began to use the technology, but then when the iPhone came along... Boom.”

“The fascinating thing people don't realize is that after the cost of the physical servers themselves, The second biggest cost in a large data center is power.”

“We decide we need a very simple message, right? Your family makes less than a 100,000 dollars a year. Your tuition at Stanford is zero.”

“And the space where that works, sort of unsupervised learning, is such a small part of the giant ML space. It's relatively small. And most of its interesting applications are in the natural science world, not in real world applications.”

“Bell Labs and AT&T were not the major beneficiaries of the discovery of the transistor. Xerox was not the major beneficiary of the discoverer of modern personal computing, right?”

“They were building machines which were getting increasingly complicated rather than simpler. And they missed the whole importance of the microprocessor and VLSI and how we completely changed the industry.”

“Oh, more than that. Probably fifty billion.”

“Even though your tuition is zero, you have to work for the university 10 hours a week during the year and 20 hours a week during the summer and contribute that to your education.”

“We're moving very quickly towards a certification type model where you take a course or a sequence of courses, right? So you go and take the sequence of courses on cryptography and blockchain, and you become an expert on that, and by demonstrating that you've …”

“And this is a big gap right now because the senior people in the field, it's highly unlikely that most of Most of them are going to take a year or two out and go back and learn a bunch of things about computer science and statistics and machine learning ideas.…”

“I thought 10 years ago that computer science was going to become second to the biological sciences in terms of getting the best students, and that Everybody, the really best students were going to go do the biologicals, biotech, things like this. Well, that's …”

“And in this case, with the explosion of the mobile world and Internet of Things, Efficient process architectures became really crucial, and that really changed the world, and that's why our work has had such great impact over time.”

“Yes, that was one of the earliest breakthroughs for the RISC people in the embedded space were games, high-end network switches, places where there was really high-end color printers, where there was really a fair amount of performance demand, but also conside…”

“About 28% of the endowment vaporized in a six-month period.”

“You just see breakthroughs in biology and chemistry, in astrophysics. Coming out of various forms of machine learning. So all of a sudden it becomes this tool that is applicable to a whole range of things and is changing those fields.”