I don’t go green street unless I need too..but I guess this is necessary lol
Yhh, alhamdulillah london’s generally ok though!
Watching BBC3’s EDL Girls…a minute orso in and an EDL member picks up a half finished loaf of Kingsmill says, “you can’t even buy a loaf of bread in the local shop that’s not halal…look, halal…and if you’re a Christian you cannot eat it. A few pennies of that went to the Taliban to put bullets in guns”
Lmao I can’t watch this
Where do I buy plain coloured hijabs from that aren’t so thin that they’re see-through and not expensive either??
In basic terms, a system has been designed that monitors how many pedestrians are waiting at a junction. If there are few, then the pedestrian crossing is left at the default setting. However, if they detect lots of people, and as crowds take longer to cross — add a few seconds to the crossing time. Two types of sensor will be used during the trials, which will be aware of the number of people waiting at a pedestrian crossing, and depending on how large the crowd is, and depending on the needs of the road traffic, may change how long people have left to cross the road. The sensors are off-the-shelf equipment that is often used in supermarkets and shopping centres to track shoppers, which have been modified by TfL.
This neural network—which you can read about here, basically it’s a computing network modeled on animal nervous systems—has eleven layers of neurons, which makes it possible to ID millions of house numbers a day from the Street View raw image data. “We can, for example, transcribe all the views we have of street numbers in France in less than an hour using our Google infrastructure,” write the engineers in a new Arxiv paper about the project. What about the numbers that are too blurry for this giant brain to make sense of? No prob—those are identified by humans as part of a second generation CAPTCHA program. So you may have already contributed to the cause, without even realizing it.
Kid logic works better for learning new gizmos
University of California, Berkeley Original Study
Preschoolers can be smarter than college students at figuring out how unusual toys and gadgets work because they’re more flexible and less biased than adults in their ideas about cause and effect, according to new research. The findings suggest that technology and innovation can benefit from the exploratory learning and probabilistic reasoning skills that come naturally to young children, many of whom are learning to use smartphones even before they can tie their shoelaces. The findings also build upon the researchers’ efforts to use children’s cognitive smarts to teach machines to learn in more human ways. (via Kid logic works better for learning new gizmos | Futurity)