Just watch it:
Just watch it:
Raw Material Input | Bunch of Stuff Happens | Finished Goods Output
It is sad to see him leave, but also exciting to see what Eileen Naughton will change to make it an even better place. She has been at Google for 10 years now, so the company isn't new to her.
Thank you, .
Congratulations to and good luck!
Vedtages beslutningen, får din internetudbyder bl.a. mulighed for at bestemme, hvilken trafik og tjenester, der er "vigtige" (mod betaling) og omvendt nedprioritere trafik og tjenester, som "ikke er vigtige" (dem, der ikke har råd til at "køre på motorvejen").
Læs mere i linket herunder, og skriv under, hvis du er enig og vil være med til at bevare netneutraliteten, så mulighederne på nettet forbliver ens for alle.
For more on how our cars are mastering the hardest parts of driving, check out this blog post from our head of self-driving technology, Dmitri Dolgov.
The Moral Machine game http://moralmachine.mit.edu/ developed at and hosted by MIT presents a series of philosophical trolley problems https://en.wikipedia.org/wiki/Trolley_problem for people to determine what behaviour an autonomous vehicle should take in the case of its brakes failing and some combination of passengers and pedestrians being at risk. This follows recent coverage this year over whether autonomous cars might have to make decisions that affect innocent people’s lives. You’ll get 13 scenarios and can take the test multiple times before any chance of seeing the same scenario again.
Factors that influence your moral choices in the presented trolley problems include the number of people and their age, fitness, sex, pregnancy, criminality, social value, the presence of animals, and whether the pedestrians are breaking the law or not. Once done you’ll get a results page that compares your overall answers to the average of others who have played the game. This can sometimes vary however (low statistical sampling with only 13 scenarios at a time) as I found it sometimes said I had a bias to save women, whereas I felt I was gender-neutral on the whole and didn’t often consider sex as a factor.
Anyway, have a play and please share your results via a link in the comments if you can.
Some of my test results:
For the image for this post I chose one of the scenarios that I was presented that I found morally ambiguous or morally controversial because it might make for a good discussion. In this scenario I chose to stay straight and not swerve, potentially killing or harming a child and three adults including a pregnant woman. Oh, and a dog. And sparing the one man.
My rationale is that the innocence of that one man is more important. He is crossing the road legally and, if anything, would be looking out for traffic coming from the other direction and so less likely to see the autonomous car swerve to hit him and so more likely to be killed completely innocently. The others have all made the decision to break the law and cross the road illegally; in so doing they are probably more likely to be aware of traffic coming from that direction and more likely to have a chance to move out of the way of the car. They should be held personally responsible for their decision to cross when they shouldn’t and their collective negligent or criminal decision to cross should not cost the innocent man his life; if it does so then they might all be charged with manslaughter or at least as an accomplice to such. The dog is irrelevant.
Ikke mere 'Big Data'. Mere 'Small Data'
Jeg har læst Buyology og vidste fra det punkt at er den rette at kigge efter når det kommer til marketing.
I den her artikel kommer han lidt henover hvorfor 'Big Data' bare er blevet til et buzz-ord og hvorfor man skal fokusere mere på 'Small Data'. Kort sagt dog handler det om at 'Big Data' er for uoverskueligt mens at men med 'Small Data' kan gå ind i detaljerne og på den måde finde en løsning.
Jeg deler sjældent artikler fra BT, men jeg må sige at den her var god.
- IT SupermanFounder and CEO, 2012 - present
- Speech Data Specialist, 2014 - 2014I have been collecting data for Google. Managing volunteers and working with colleagues to reach the project goal.
- Data Specialist, 2012 - 2012
- Travian GmbHMultihunter, 2008 - 2010
- Computer PlanetMarketing Assistent, 2011 - 2011
- Tivoli/Amusement ParkIce-cream seller/cashier, 2008 - 2009
- NettoCashier, 2007 - 2009
- deemlyMarketing Intern, 2016 - presentMarket research, SEO, Google Analytics, KPI setups and other marketing related work
- CPH BusinessAP Degree in Marketing Mangement, 2015 - present
- Niels Brock HHXInnovation, 2011 - 2014
- Niels Brock HGEventcoordination, 1998 - 2007
- Christianshavn SkoleElementary school, 2007 - 2009
- Vestre SkoleElementary school, 2009 - 2011
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