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Category: robotics/AI

After 15 years of development, an Israeli tech firm is optimistic it will finally get its 1,500 kilogramme (1.5 tonne) passenger carrying drone off the ground and into the market by 2020.

The Cormorant, billed as a flying car, is capable of transporting 500 kilogrammes (around half a tonne) of weight and travelling at 185 kilometres per hour. It completed its first automated solo flight over terrain in November. Its total price is estimated at $14 million.

Developers Urban Aeronautics believe the dark green drone, which uses internal rotors rather than helicopter propellers, could evacuate people from hostile environments and/or allow military forces safe access.

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N” A boom in consumer drone sales has spawned a counter-industry of start-ups aiming to stop drones flying where they shouldn’t, by disabling them or knocking them out of the sky.

Dozens of start-up firms are developing techniques — from deploying birds of prey to firing gas through a bazooka — to take on unmanned aerial vehicles (UAVs) that are being used to smuggle drugs, drop bombs, spy on enemy lines or buzz public spaces.

The arms race is fed in part by the slow pace of government regulation for drones.

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In Brief

  • Princeton University researchers have developed the world’s first integrated silicon photonic neuromorphic chip, which contains 49 circular nodes etched into semiconductive silicon.
  • The chip could complete a math equation 1,960 times more quickly than a typical central processing unit, a speed that would make it ideal for use in future neural networks.

As developments are made in neural computing, we can continue to push artificial intelligence further. A fairly recent technology, neural networks have been taking over the world of data processing, giving machines advanced capabilities such as object recognition, face recognition, natural language processing, and machine translation.

These sound like simple things, but they were way out of reach for processors until scientists began to find way to make machines behave more like human brains in the way they learned and handled data. To do this, scientists have been focusing on building neuromorphic chips, circuits that operate in a similar fashion to neurons.

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There is no written rule-book to follow when it comes to career survival. The “Future of Work” is about making ourselves employable in a workforce where the priority of business leaders is to invest in automation and digital technology, more than training and developing their own workforces.

As our soon-to-be-released State of Operations and Outsourcing 2017 study, conducted in conjunction with KPMG across 454 major enterprise buyers globally, shows a dramatic shift in priorities from senior managers (SVPs and above), where 43% are earmarking significant investment in robotic automation of processes, compared with only 28% placing a similar emphasis on training and change management. In fact, the same number of senior managers are as focused on cognitive computing as their own people … yes, folks, this is the singularity of enterprise operations, where cognitive computing now equals employees’ brains when it comes to investment!

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In Brief

  • Kawasaki is developing AI for future bikes that will give it a personality with the hopes it will help reassure drivers.
  • AI is constantly being developed in new ways, ranging from the novel to the revolutionary.

Automotive company Kawasaki Heavy Industries, Ltd. (KHI) is developing next-generation motorcycles with an AI controlled-system that not only ensures safer rides, but also develops an emotional connection with the user.

The bikes use a system called the “Emotion Generation Engine and Natural Language Dialogue System”, developed by robotics teams from cocoro SB Corp. The driver can talk to the bike and it will be able to pick up cues on the rider’s emotional state and intents. In their press release, Kawasaki said that this “will open the door to a new world of unprecedented riding experiences.”

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