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Comment Duh (Score 1) 183

by pontoffel (#52757949) Attached to: Facebook Knows Your Political Preferences
It's not like they try and hide that they're doing this (at least for me): if I don't use incognito mode, then go on any site even a little political or controversial that has facebook's trackers, I get flooded with suggestions related to whatever leanings that site has.

Submission + - Why Tech Support Is (Purposely) Unbearable

Submitted by HughPickens.com
HughPickens.com writes: Getting caught in a tech support loop — waiting on hold, interacting with automated systems, talking to people reading from unhelpful scripts and then finding yourself on hold yet again — is a peculiar kind of aggravation that mental health experts say can provoke rage in even the most mild-mannered person. Now Kate Murphy writes at the NYT that just as you suspected, companies are aware of the torture they are putting you through as 92 percent of customer service managers say their agents could be more effective and 74 percent say their company procedures prevented agents from providing satisfactory experiences. “Don’t think companies haven’t studied how far they can take things in providing the minimal level of service,” says Justin Robbins, who was once a tech support agent himself and now oversees research and editorial at ICMI. “Some organizations have even monetized it by intentionally engineering it so you have to wait an hour at least to speak to someone in support, and while you are on hold, you’re hearing messages like, ‘If you’d like premium support, call this number and for a fee, we will get to you immediately.’”

Mental health experts say there are ways to get better tech support or maybe just make it more bearable. First, do whatever it takes to control your temper. Take a deep breath. Count to 10. Losing your stack at a consumer support agent is not going to get your problem resolved any faster and being negative in your dealings with others can quickly paint you as a complainer no one wants to work with. Don’t bother demanding to speak to a supervisor, either. You’re just going to get transferred to another agent who has been alerted ahead of time that you have come unhinged. To get better service by phone, dial the prompt designated for “sales” or “to place an order,” which almost always gets you an onshore agent, while tech support is usually offshore with the associated language difficulties. Finally customer support experts recommended using social media, like tweeting or sending a Facebook message, to contact a company instead of calling. You are likely to get a quicker response, not only because fewer people try that channel but also because your use of social media shows that you know how to vent your frustration to a wider audience if your needs are not met.

Comment Curiosity (Score 2) 515

by pontoffel (#52250867) Attached to: Slashdot Asks: How Did You Learn How To Code?
One day when I was 10 or 11, I was super bored and aimlessly looking through all of the folders on my computer when suddenly, I wondered how the files on it were made. After some research, I went down to the book store with my dad and ended up getting a copy of C++ for Dummies, which I worked halfway through before just doing whatever I wanted.

Submission + - Google Unveils Neural Network with Ability to Determine Location of any Image (technologyreview.com)

Submitted by schwit1
schwit1 writes: Here's a tricky task. Pick a photograph from the Web at random. Now try to work out where it was taken using only the image itself. If the image shows a famous building or landmark, such as the Eiffel Tower or Niagara Falls, the task is straightforward. But the job becomes significantly harder when the image lacks specific location cues or is taken indoors or shows a pet or food or some other detail.

Nevertheless, humans are surprisingly good at this task. To help, they bring to bear all kinds of knowledge about the world such as the type and language of signs on display, the types of vegetation, architectural styles, the direction of traffic, and so on. Humans spend a lifetime picking up these kinds of geolocation cues.

So it's easy to think that machines would struggle with this task. And indeed, they have.

Today, that changes thanks to the work of Tobias Weyand, a computer vision specialist at Google, and a couple of pals. These guys have trained a deep-learning machine to work out the location of almost any photo using only the pixels it contains.

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