Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 10944

Artificial intelligence is not a vague concept we picked up from a science fiction novel. It is the single biggest technology trend since the Internet, and the money-making potential is huge.

Google, Amazon, and Microsoft are all ready to soar on the winds of change. Most people expect it to be a zero-sum game, but their varying strengths will allow them all to succeed.

Microsoft is likely going to own the enterprise segment. Amazon will probably win the consumer device fight, and Google could become a healthcare giant.

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And yet, as impressive and powerful as these new technologies and machines are—and they’re becoming more so all the time—I believe they’re an opportunity to be embraced by accountants.

Computers and software have evolved to a point where they can populate spreadsheets, crunch numbers, and generate financial statements and earnings reports more quickly and accurately than any human accountant. In fact, machines are already taking on many of an accountant’s old, routine, administrative chores—on-line tax returns, and book-keeping software, are great examples of routine work that accountants no longer have to do.

This is a good thing. It is already allowing for human accountants to be more sophisticated advisors and planners. In this way, technology can be best used as a tool that gives humans more space to focus on analysis, interpretation, and strategy. In other words, computers have enormous potential to empower—rather than displace—accountants.

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We’ve created the world’s first Spam-detecting AI trained entirely in simulation and deployed on a physical robot.

Our vision system successfully flagging a can of Spam for removal. The vision system is trained entirely in simulation, while the movement policy for grasping and removing the Spam is hard-coded. Our detector is able to avoid other objects, including healthy ones such as fruit and vegetables, which it never saw during training.

Deep learning-driven robotic systems are bottlenecked by data collection: it’s extremely costly to obtain the hundreds of thousands of images needed to train the perception system alone. It’s cheap to generate simulated data, but simulations diverge enough from reality that people typically retrain models from scratch when moving to the physical world.

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EVER since ENIAC, the first computer that could be operated by a single person, began flashing its ring counters in 1946, human beings and calculating machines have been on a steady march towards tighter integration. Computers entered homes in the 1980s, then migrated onto laps, into pockets and around wrists. In the laboratory, computation has found its way onto molars and into eyeballs. The logical conclusion of all this is that computers will, one day, enter the brain.

This, at least, is the bet behind a company called Neuralink, just started by Elon Musk, a serial technological entrepreneur. Information about Neuralink is sparse, but trademark filings state that it will make invasive devices for treating or diagnosing neurological ailments. Mr Musk clearly has bigger plans, though. He has often tweeted cryptic messages referring to “neural lace”, a science-fictional concept invented by Iain M. Banks, a novelist, that is, in essence, a machine interface woven into the brain.

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Before each job interview, Alex Ren offers the following advice to his clients to ensure their success: “Be humble and appreciate the opportunity to fully demonstrate your strength and what you can offer”.

The advice is not for potential employees. Rather, it is for Chinese technology companies trying to hire top-tier Silicon Valley talent in artificial intelligence (AI) in competition with the likes of Alphabet, Uber Technologies and Facebook.

“Chinese companies are obsessed with hiring Silicon Valley talent because winning talent here is like reaching the commanding heights of the AI battlefield,” said Ren, founder of TalentSeer, a San Francisco-based headhunting company focused on AI expert recruitment.

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