Google’s AI Guru Says That Great Artificial Intelligence Must Build on Neuroscience

Google’s #AI guru says that great artificial intelligence must build on neuro science

  • Demis Hassabis knows a thing or two about artificial intelligence: he founded the London-based AI startup DeepMind, which was purchased by Google for $650 million back in 2014.
  • In a paper published today in the journal Neuron, Hassabis and three coauthors argue that only by better understanding human intelligence can we hope to push the boundaries of what artificial intellects can achieve.
  • But it also points out that more recent advances haven’t leaned on biology as effectively, and that a general intelligence will need more human-like characteristics—such as an intuitive understanding of the real world and more efficient ways of learning.
  • As Hassabis explains in an interview with the Verge, artificial intelligence and neuroscience have become “two very, very large fields that are steeped in their own traditions,” which makes it “quite difficult to be expert in even one of those fields, let alone expert enough in both that you can translate and find connections between them.”
  • (Read more: Neuron, The Verge, “Google’s Intelligence Designer,” “Can This Man Make AI More Human?”)

Inquisitiveness and imagination will be hard to create any other way.
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China announces goal of leadership in artificial intelligence by 2030

China announces goal of leadership in artificial intelligence by 2030

  • BEIJING — China’s government has announced a goal of becoming a global leader in artificial intelligence in just over a decade, putting political muscle behind growing investment by Chinese companies in developing self-driving cars and other advances.
  • Artificial intelligence is one of the emerging fields along with renewable energy, robotics and electric cars where communist leaders hope to take an early lead and help transform China from a nation of factory workers and farmers into a technology pioneer.
  • Already, Chinese companies including Tencent Ltd., Baidu Inc. and Alibaba Group are spending heavily to develop artificial intelligence for consumer finance, e-commerce, self-driving cars and other applications.
  • The announcement follows a sweeping plan issued in 2015, dubbed “Made in China 2025,” that calls for this country to supply its own high-tech components and materials in 10 industries from information technology and aerospace to pharmaceuticals.
  • China has had mixed success with previous strategic plans to develop technology industries including renewable energy and electric cars.

AI is one of the emerging fields — along with renewable energy, robotics and electric cars — where communist leaders hope to take an early lead
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I watched two robots chat together on stage at a tech event

I watched two #robots chat together on stage at a tech event  #RISEConf #Ai #bots

  • I watched two robots go on stage at a tech event to “debate” the future of humanity with each other.
  • The robots in question are Sophia and Han, and they belong to Hanson Robotics, a Hong Kong-based company that is developing and deploying artificial intelligence in humanoids.
  • The event organizers claimed a world first for two robots talking on stage, and it isn’t difficult to imagine that it could become a more common sight in the this is just the start of Hanson Robotics’ ambitious plans.
  • Company CEO and founder Dr David Hanson believes robots will become commonplace in homes and other aspects of our daily life within the next decade.
  • “We’ve got these early uses but our aspiration is Data from Star Trek,” Hanson told TechCrunch on the sidelines of the event following the robot debate.

I got a glimpse into the future world of our robot overlords today. It was nervy at times. I watched two robots go on stage at a tech event to “debate” the..
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Google’s plan to best Amazon rests on one particular piece of software

#Google's plan to best #Amazon rests on one piece of software  #aws #cloud #AI

  • Two years later the tool, which is used in building machine-­learning software, underpins many future ambitions of Google and its parent company, Alphabet.
  • But just months after TensorFlow was released to Google’s army of coders, the company also began offering it to the world for free, as an open source tactic.
  • S. Somasegar, a managing director at venture fund Madrona who was previously head of Microsoft’s developer division, says TensorFlow’s prominence poses a genuine challenge to Google’s cloud rivals.
  • The company has created specialized processors to make TensorFlow faster and reduce the power it consumes inside Google’s data centers.
  • Since Google released TensorFlow, its competitors in cloud computing, Microsoft and Amazon, have released, or started supporting, their own free software tools to help coders build machine-learning systems.

Google has pinned its cloud computing hopes on a bit of software that helps programmers build artificial intelligence apps called TensorFlow.
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The Self-Driving Project That Could Help China Leapfrog the West

The #Chinese plan to overtake all #selfdriving cars #baidu #AI

  • One of Baidu’s experimental self-driving

    The CEO of Baidu, Robin Li, arrived at his company’s first AI developer conference, held in Beijing this week, in a vehicle that has the potential to reshape the world of self-driving cars.

  • The vehicle was controlled using software that Baidu (50 Smartest Companies 2017) plans to offer for free in the coming years through a project called Apollo.
  • The Apollo platform consists of a core software stack, a number of cloud services, and self-driving vehicle hardware such as GPS, cameras, lidar, and radar.
  • Dawen Zhou, Apollo’s principle product manager, explained that the simulation platform being developed by Baidu would be used to test the code and also to train self-driving algorithms.
  • Since lots of real-world driving data is vital for the continued improvement for Baidu’s self-driving technology, one of the biggest benefits of opening up the Apollo platform is the data Baidu can receive from its partners.

Baidu opens up its software, a stark departure from the normally secretive world of commercial AI development.
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Artificial Intelligence at Next Gen 2017 and beyond

#AI is poised to become the defining technology of #finance. Find out how.

  • It is clear that Artificial Intelligence (AI) is the next big wave in computing, but it’s even bigger than that.
  • It’s poised to usher in a better world: Accelerating solutions to large-scale problems, unleashing new scientific discovery, extending our human senses and capabilities, and automating undesirable tasks.
  • To unleash the next wave of AI, there is much work to be done as an industry to move past challenges in performance, accessibility, and wariness of the technologies.
  • Financial institutions will have to navigate a complex array of techniques, overcome cultural challenges, and embrace new technology decisions.
  • This research paper brings together the views of AI experts across the financial industry, on the key opportunities and challenges you are likely to face as you embark on your AI journey.

It is clear that Artificial Intelligence (AI) is the next big wave in computing, but it’s even bigger than that. It’s poised to usher in a better world: Accelerating solutions to large-scale problems, unleashing new scientific discovery, extending our human senses and capabilities, and automating undesirable tasks.
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This machine-learning software has transformed Google, and the rest of the world may be next

Google Stakes Its Future on a Piece of Software #ML #AI #tensorflow #Google

  • Early in 2015, artificial-intelligence researchers at Google created an obscure piece of software called ­TensorFlow.
  • But just months after TensorFlow was released to Google’s army of coders, the company also began offering it to the world for free.
  • S. Somasegar, a managing director at venture fund Madrona who was previously head of Microsoft’s developer division, says TensorFlow’s prominence poses a genuine challenge to Google’s cloud rivals.
  • The company has created specialized processors to make TensorFlow faster and reduce the power it consumes inside Google’s data centers.
  • Since Google released TensorFlow, its competitors in cloud computing, Microsoft and Amazon, have released or started supporting their own free software tools to help coders build machine-learning systems.

Alphabet thinks it can wrest the cloud computing market away from Amazon by helping companies make use of machine learning with a tool called TensorFlow.
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