We are introducing students to artificial intelligence (A.I.), computer vision, data science, machine learning, robotics and blockchain technology.
Nearly all big tech companies have an artificial intelligence project, and they are willing to pay experts millions of dollars to help get it done.
Tech’s biggest companies are placing huge bets on artificial intelligence, banking on things ranging from face-scanning smartphones and conversational coffee-table gadgets to computerized health care and autonomous vehicles. As they chase this future, they are doling out salaries that are startling even in an industry that has never been shy about lavishing a fortune on its top talent.
Typical A.I. specialists, including both Ph.D.s fresh out of school and people with less education and just a few years of experience, can be paid from $300,000 to $500,000 a year or more in salary and company stock, according to nine people who work for major tech companies or have entertained job offers from them. All of them requested anonymity because they did not want to damage their professional prospects.
A computer science class at N.Y.U.’s Tandon School of Engineering, where some 80 percent of graduate students are from other countries. Credit Yana Paskova for The New York Times
There are two very different pictures of the students roaming the hallways and labs at New York University’s Tandon School of Engineering.
At the undergraduate level, 80 percent are United States residents. At the graduate level, the number is reversed: About 80 percent hail from India, China, Korea, Turkey and other foreign countries.
The dearth of Americans is even more pronounced in hot STEM fields like computer science, which serve as talent pipelines for the likes of Google, Amazon, Facebook and Microsoft: About 64 percent of doctoral candidates and almost 68 percent in master’s programs last year were international students…. In comparison, only about 9 percent of undergraduates in computer science were international students.
Want Your Children to Succeed?
Zaleik Walsh and Julian Harris programming the Raspberry Pi for the chess-playing robot.
The Raspberry Turk and the Ethereum Chess game are both completely open source. The Raspberry Turk is written almost entirely in Python, runs on a Raspberry Pi, and incorporates aspects of computer vision, data science, machine learning (a form of AI or Artificial Intelligence), robotics, 3D printing, and—of course—chess.
Ethereum is an open-source, public, blockchain-based distributed computing platform featuring smart contract (scripting) functionality. It provides a decentralized Turing-complete virtual machine, the Ethereum Virtual Machine (EVM), which can execute scripts using an international network of public nodes. Ethereum also provides a cryptocurrency token called “ether”, which can be transferred between accounts and used to compensate participant nodes for computations performed.
“In the past,” says Andrew Ng, chief scientist at Baidu Research and founder of the “Google Brain” project, “a lot of S&P 500 CEOs wished they had started thinking sooner than they did about their Internet strategy. I think five years from now there will be a number of S&P 500 CEOs that will wish they’d started thinking earlier about their AI strategy.”
Even the Internet metaphor doesn’t do justice to what AI with deep learning will mean, in Ng’s view. “AI is the new electricity,” he says. “Just as 100 years ago electricity transformed industry after industry, AI will now do the same.”
The new model of advertising and branding demands that companies improve public life and satisfy the needs of our higher sacred selves.
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A rough draft of Seven Magazine.