BBC Science Focus - 03.2020

(Romina) #1
20 IDEAS FE ATURE


  1. AI PSYCHIATRY


Social and health care systems are
under pressure wherever you are in
the world. As a consequence, doctors
are becoming increasingly interested
in how they can use smartphones to
diagnose and monitor patients. Of
course a smartphone can’t replace a
doctor, but given these devices are
with us at almost every moment of
the day and can track our every action,
it would be remiss to use this ability
for good. Several trials are already
under way. MindLAMP can compare
a battery of psychological tests with
health tracking apps to keep an eye on
your wellbeing and mental acuity. The
screenome project wants to establish
how the way you use your phone
affects your mental health, while an
app called Mindstrong says it can
diagnose depression just by how you
swipe and scroll around your phone.


  1. EMOTION-TRACKING


MACHINES
Amid ethical concerns,
scientists will strive to help
AI read feelings


  1. MAKING IT TO THE


MOON AND MARS

Will we see astronauts set foot on the
Moon in the next decade? Probably.
What about Mars? Definitely not. But if
NASA’s plans come off, astronauts will
be visiting the Red Planet by the 2030s.
There is no doubting NASA’s aspirations
to plant astronaut feet on Mars. In one
of its reports,NASA’s Journey to Mars,
they explain that the mission would
represent “the next tangible frontier
for expanding the human presence.”
The plan is to use the Moon and a small
space station in orbit around the Moon,
Gateway, as a stepping stone, allowing
the space agency to develop capabilities
that will help with the 34-million-mile
journey to the Red Planet.
An independent report into NASA’s
Martian ambitions lays out a timetable
that includes astronauts setting foot on
the Moon by 2028, and a mission to orbit
Mars less than a decade later, by 2037.

EmotionAI aims to peer into our
innermost feelings - and the tech is
already here. It’s being utilised by
marketing firms to get extra insight
into job candidates. Computer
vision identifies facial expressions
and machine learning predicts
the underlying emotions. Progress
is challenging, though, reading
someone’s emotions isreallyhard.
Professor Aleix Martinez, who was
involved in the research, sums it up
neatly, “not everyone who smiles
is happy, and not everyone who is
happy smiles.” He is investigating
whether emotional AI can measure
intent - something central to many
criminal cases. “The implications are
enormous,” he says.

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