BBC_Knowledge_Asia_Edition_-_May_2016_

(C. Jardin) #1

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PHOTOS: GETTY, DREAMSTIME ILLUSTRATION: SAM FALCONER



  1. LAVA FLOWS
    Hawaiian and Icelandic volcanoes produce
    slow-moving lava. Lava temperature is
    700-1,200°C, so it melts or ignites most
    things. A house on stilts of titanium or
    tungsten might survive, if the stilts were
    strong enough to withstand the lava
    pushing against them.

  2. AIRBORNE ASH
    Violent volcanoes, such as Vesuvius and
    Mount St Helens, tend to explode and
    throw up several cubic kilometres of ash
    and rock. A 30cm-thick ash layer can be
    heavy enough to cause roofs to collapse, so
    you’ll need a reinforced roof with a steep
    pitch to stop the ash building up too much.

  3. POISONOUS GAS
    After an eruption, pyroclastic flows can
    engulf a town in superheated steam and
    poisonous sulphur dioxide or asphyxiating
    carbon dioxide. To escape this, you’ll need
    an airtight home with an air supply –
    preferably underground. But ensure your
    access hatch doesn’t get blocked!


THE THOUGHT EXPERIMENT

Could I build a house that would survive a volcanic eruption?


To make
we use sof a e a
simulates neurons
connected in networks like in
a brain. These networks are
trained with data until they
can learn patterns or make
predictions about what data

of UK people actually have
coeliac disease, yet 7 per
cent believe they have a
gluten intolerance

1


per cent


was a T. rex’s top speed –
even a fairly fit human
could outrun it at full pelt

11


km/h


IN NUMBERS

g
lik h h l
understand speech or
recognise car number plates,
so in this respect computers
can learn a little bit like
humans. But humans are still
much better – we can learn

l d st
u be of d ffe e deas
As we still don’t fully
understand how brains work,
computers are unlikely to be
as good at learning as
humans for hundreds of
years. PB

e computers learn,
software that

might come next. Methods
like these help computers

complex concepts and a va
number of different ideas.

Can computers


learn like


humans?


Robots would definitely
love BBC Magazines
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