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Category: robotics/AI – Page 2,320

“I’m a political theory researcher at Sciences Po, and this talk draws on modern political theories of liberalism, the latest transhumanist literature, and ancient Greek theories of the good life.”

The Transhumanist Paradox.

Deciding between technological utopias in a liberal state.

How does a pluralist society – a society built to accommodate our irreconcilable differences – make a choice about the technological future of mankind? How can a liberal state dedicated to upholding individual liberty interfere in technological progress, and why should it?

Do we really want to leave our technological futures in the hands of the major AI researchers – Google, Facebook, and the US Defense Department?

Continue reading “The Transhumanist Paradox [33c3]” | >

In Brief

  • Microsoft is partnering with a prestigious eye hospital in India to help perfect AI powered computer diagnostics to the field of ophthalmology.
  • Artificial intelligence is continually making great strides to integrate more in various healthcare settings, hopefully increasing the quality and availability of patient care.

According to the World Health Organization, an estimated 285 million people are visually impaired, with 39 million living with blindness and the other 246 million having low vision.

In a world of modern technological advancements, visual impairment has been the subject of much medical research. Perhaps the most notable among these are those that use artificial intelligence (AI), specifically through machine learning. Google’s DeepMind has been working with the UK’s National Health Service to do ophthalmology research.

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Transparent, self-healing, conducting artificial muscle could power robots of the future…

December 23, 2016: Researchers create a self-healing, transparent, highly stretchable material that can be electrically activated and used to improve batteries, electronic devices, and robots.

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In Brief

  • The Taiwanese company that manufactures Apple’s iPhone has announced a three-part plan to fully automate its factories, with hopes to achieve 30% automation by 2020.
  • The move could put as many as a million people out of work, another example of automation’s major implications for the global workforce.

Foxconn Electronics, the Taiwanese manufacturing company behind some of the biggest electronic brands’ devices, including Apple’s iPhone, has announced that it will ramp up automation processes at its Chinese factories. The goal is to eventually achieve full automation.

In an article published in Digitimes, General Manager Dai Jia-peng of Foxconn’s Automation Technology Development Committee explains that the process will unfold in three phases.

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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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