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Tag Archives: data

Uber is sharing curbside data with cities

As part of Uber's image redemption, the company has joined groups like, say, the International Association of Public Transport to improve relations with the public and civic administrations. And while the ride-hailing company has had poor relationshi...

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How artificial intelligence will take over the supermarket produce aisles

Artificial intelligence is about more than asking Alexa or Siri to turn on the lights at home and add a reminder to the calendar about getting some milk at the store later in the afternoon. The true power of AI and machine learning is how it can democratize expertise, lowering the barriers to entry for tasks that once could only be performed by a small group of specialists. The result, one day, will be that your self-driving car drops you off at the supermarket, where you will find higher-quality foods available at prices lower than they’ve ever been. It will happen through the use of machine learning algorithms that absorb a large volume of data, recognize patterns and apply statistical probabilities to choose the course of action most likely to result in a successful outcome. For example , Google’s famous self-driving car used machine learning to catalog a number of interesting behaviors on the road. Whenever the car’s sensors recognized a garbage truck ahead, vehicles following behind tended to pull suddenly into the next lane to get around it — usually without signaling. So the Google car stored this pattern of behavior and adapted its position and speed to minimize the possibility that these “unexpected” lane changes would cause a collision. For humans, this is a common defensive driving skill, but replicating this level of awareness in a machine would have been unthinkable just a few years ago. Now, powerful algorithms can conquer the chaos of streets filled with drivers of all skill levels, including those paying more attention to their phones than the road ahead. Artificial intelligence and agriculture As amazing as that may be, the application of machine learning to the living fields of agriculture is an order of magnitude more complex. A road network is fixed, with a map that rarely changes and provides a solid foundation for the algorithm to make its decisions. No matter how calm and peaceful a wind-swept field of wheat might appear to the casual observer, agricultural fields are truly chaotic places. There’s unpredictable weather, changes in soil quality and the ever-present possibility that pests and disease may pay a visit. Conditions in one part of a field may be totally different from another part

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How artificial intelligence will take over the supermarket produce aisles

Artificial intelligence is about more than asking Alexa or Siri to turn on the lights at home and add a reminder to the calendar about getting some milk at the store later in the afternoon. The true power of AI and machine learning is how it can democratize expertise, lowering the barriers to entry for tasks that once could only be performed by a small group of specialists. The result, one day, will be that your self-driving car drops you off at the supermarket, where you will find higher-quality foods available at prices lower than they’ve ever been. It will happen through the use of machine learning algorithms that absorb a large volume of data, recognize patterns and apply statistical probabilities to choose the course of action most likely to result in a successful outcome. For example , Google’s famous self-driving car used machine learning to catalog a number of interesting behaviors on the road. Whenever the car’s sensors recognized a garbage truck ahead, vehicles following behind tended to pull suddenly into the next lane to get around it — usually without signaling. So the Google car stored this pattern of behavior and adapted its position and speed to minimize the possibility that these “unexpected” lane changes would cause a collision. For humans, this is a common defensive driving skill, but replicating this level of awareness in a machine would have been unthinkable just a few years ago. Now, powerful algorithms can conquer the chaos of streets filled with drivers of all skill levels, including those paying more attention to their phones than the road ahead. Artificial intelligence and agriculture As amazing as that may be, the application of machine learning to the living fields of agriculture is an order of magnitude more complex. A road network is fixed, with a map that rarely changes and provides a solid foundation for the algorithm to make its decisions. No matter how calm and peaceful a wind-swept field of wheat might appear to the casual observer, agricultural fields are truly chaotic places. There’s unpredictable weather, changes in soil quality and the ever-present possibility that pests and disease may pay a visit.

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Zuckerberg won’t give a straight answer on data downloads

What does Facebook know about you? Clearly a whole lot more than it’s comfortable letting on. Today, during testimony in front of the House Energy & Commerce committee, CEO Mark Zuckerberg was pressed by congressman Jerry McNerney on whether Facebook lets users download all their information — and he ended up appearing to contract its own  cookies policy , which — if you go and actually read it — states pretty clearly that Facebook harvests users’ browsing data. See, for e.g.: We use cookies if you have a Facebook account, use the  Facebook Products , including our website and apps, or visit other websites and apps that use the Facebook Products (including the Like button or other Facebook Technologies). Cookies enable Facebook to offer the Facebook Products to you and to understand the information we receive about you, including information about your use of other websites and apps, whether or not you are registered or logged in. Yet you won’t find your browsing data included in the copy of the information you can request from Facebook. Nor will you find a complete list of all the advertisers that have told Facebook they can target you with ads. Nor will you find lots of other pieces of personal information like images that Facebook knows you’re in but which were uploaded by other users, or a phone number you declined to share with it but which was uploaded anyway because one of your friends synced their contacts with its apps, thereby handing your digits over without your say so. And that’s just to name a few of the missing pieces of information that Facebook knows and holds about you — won’t tell you about if you ask it for a copy of “your information”. Here’s the key exchange — which is worth reading in full to see how carefully Zuckerberg worded his replies: McNerney: “Is there currently a place that I can download all of the Facebook information about me including the websites that I have visited?” Zuckerberg: “Yes congressman. We have a download your information tool, we’ve had it for years, you can go to it in your settings and download all of the content that you have on Facebook.” McNerney: “Well my staff, just this morning, downloaded their information and their browsing history is not in it. So are you saying that Facebook does not have browsing history?” Zuckerberg: “Congressman that would be correct. If we don’t have content in there then that means that you don’t have it on Facebook. Or you haven’t put it there.” McNerney: “I’m not quite on board with this.

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