Archive for January 26th, 2018

Carrol Amrich was already buckled into her seat when the online agency that had sold her ticket canceled it. Her mother died before she could say goodbye.

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Users were outraged when Google's smart speaker Home couldn't tell users who Jesus Christ was. Here's why it happened and what that means for Google.

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Coincheck says it lost about 523 million of the cryptocurrency exchange's NEM coins, according to a Google translate of a Japanese transcript from Logmi.

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This man is concerned that his new mother-in-law will plunder the family estate.

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Users were outraged when Google's smart speaker Home couldn't tell users who Jesus Christ was. Here's why it happened and what that means for Google.

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<p>The stock was trading more than 9 percent lower Friday after the report, which cited multiple women accusing the Las Vegas magnate of pressuring them into sex and sexualizing the workplace.</p>

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The relentless gush of cash into the market is sending a powerful "sell" signal, according to a reliable Bank of America Merrill Lynch gauge.

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Ethan Miller/Getty Images Wynn Resorts CEO Steve Wynn was accused of sexual misconduct by dozens of employees in a story by the Wall Street Journal on Friday. Shares of the company plummeted after the report. Wynn is…

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World stocks were set for their longest weekly winning streak since 1999 on Friday, while the dollar buckled again as its weakest run since 2010 reverberated through almost every major asset class.

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The outdoor gear industry brought its biggest winter marketplace to Denver this week as it faces slipping sales and shifting U.S. consumer habits.

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Stocks will rise in the short term, but investors will be worse off in the long term, writes Nigam Arora.

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A-list investors placed a big bet on Outcome Health despite multiple warning signs, a Wall Street Journal examination shows, illustrating how even the savviest investors can gloss over potential issues in pursuit of a big score.

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The U.S. economy expanded at a slower-than-projected pace in the fourth quarter on drags from trade and inventory depletion, offsetting strength in consumer spending and business investment that signals solid momentum entering 2018.

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Housing in America’s most expensive region is going to get even pricier.

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Google is pushing hard to make artificial intelligence as easy to access as cloud computing, building services that reduce both costs and the technical skill required from users. To my mind, there is a strong parallel with how Amazon Web Services made it easier and cheaper for companies to build web apps.

Throughout 2017 they made steady advances, releasing Google Cloud Machine Learning Engine and grew Kaggle, their community of data scientists and ML researchers, to more than one million members. They now have more than 10,000 businesses using Google Cloud AI services, including companies BoxRolls Royce MarineKewpie and Ocado.

And now they are introducing Cloud AutoML, which promises to:

Help businesses with limited ML expertise start building their own high-quality custom models by using advanced techniques like learning2learn and transfer learning

Google seems to be in the vanguard, but Amazon and Microsoft are pursuing similar agendas. For AI startups this means that machine learning expertise will become relatively less important whilst access to data and customer understanding will rise in significance. Given that ML expertise has been in short supply we can expect to see a sharp rise in the number of high-quality startups using machine learning to make better products (as distinct from low-quality startups that claim to use machine learning but don’t really). It also means that the opportunity space will tip towards applications and away from infrastructure.

At Forward Partners we’ve had “Applied AI” as one of our two focus areas for investments for around six months now. We define Applied AI as anything that mimics human cognition (that’s the AI bit) in an application applied to real-world problems using well-understood technologies. We insist on ‘well-understood technologies’ because as an early stage investor we want to be funding companies that can get products to market in predictable time-frames rather than what I sometimes unkindly refer to as research projects. From our perspective, services like Cloud AutoML are great because they add to the available suite of well-understood technologies and therefore increase the range of startups we can back. This is a trend we can expect to continue as Google, Amazon and Microsoft offer more services in this area as they compete to keep people inside their ecosystems.



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