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Real-life RoboCops patrolling the streets

Future Tech: Plus... solar water taxis & AI computer gamers

Real life RoboCops to join police force in Dubai

robocop robot cop dubai

From The Telegraph:

Robot police were once sci-fi fantasy, but soon the real thing will be patrolling the streets of Dubai. While the original RoboCop from the 1987 film, a superhuman cyborg law enforcer, could hunt down murderous criminals, the real-life version will be tackling more straightforward misdemeanours.

The first robot police officer will be on patrol in the wealthy United Arab Emirates city by May this year, Dubai Police have confirmed. Members of the public will be able to report crimes to the multilingual police robot using a touchscreen on its chest.

The friendly robot, which can salute and shake hands, can also be used by members of the public to pay traffic fines and submit paperwork.

Dubai Police, who unveiled the prototype at the Gulf Information Technology Exhibition last year, want 25 per cent of its force to be robots by 2030.

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These water taxis use solar and wave energy

From Design Boom:

This summer Paris will meet ‘Seabubbles’, the electric hydrofoil water taxis that aims to open up transportation infrastructures with zero emissions in big cities. The startup expects to launch its first full-size pilot boats in the French capital after June this year.

‘Seabubbles‘ has developed a futuristic looking water taxi that could be part of one of the very first water-based transportation systems. The ‘Seabubbles’ are electric hydrofoils that are powered with wave and solar energy, and ‘generate no waves at full speed’.

The vessel will be made of high-density foam and fiberglass, with a unique hydrofoil design rumored to be responsible for 40% less drag compared with a similar sized boats. The water taxis will recharge at their docking stations, where solar and wave energy will be converted to electricity. The electric motors are expected to achieve 6-8 knots in the water, with a range of 80-100 km per charge.

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AI uses memory to learn

From Wired:

When DeepMind burst into prominent view in 2014 it taught its machine learning systems how to play Atari games. The system could learn to defeat the games, and score higher than humans, but not remember how it had done so.

For each of the Atari games, a separate neural network had to be created. The same system could not be used to play Space Invaders and Breakout without the information for both being given to the artificial intelligence at the same time. Now, a team of DeepMind and Imperial College London researchers have created an algorithm that allows its neural networks to learn, retain the information, and use it again.

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Tom Connon

Tom is a previous small business owner/operator and now has over 17 years of telecom experience. As a Portfolio Manager he specializes in product/service development, managing technical workforces and Customer/Segment Marketing. Outside of the office, Tom can be found shuttling his kids around from Lacrosse, hockey and ringette practices at a rink near you.

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