Macao, Alibaba to build smart city by cloud computing

Macao, #Alibaba to build smart city by  #CloudComputing, #Artificialintelligence

  • Macao Special Administrative Region (SAR) Chief Executive Office Director O Lam and President of Alibaba Cloud Hu Xiaoming sign the Strategic Cooperation Framework Agreement to Build Smart City at a ceremony presided by SAR Chief Executive Chui Sai On (2nd R) and the board of directors of Alibaba Group Jack Ma (2nd L), in Macao, south China, Aug. 4, 2017.
  • Macao and Alibaba Cloud will work together to upgrade the SAR into a smart city by applying cloud computing and artificial intelligence (AI), according to the agreement signed on Friday.
  • (Xinhua/Cheong Kam Ka)

    MACAO, Aug. 4 (Xinhua) — Macao and Alibaba Cloud will work together to upgrade the special administrative region (SAR) into a smart city by applying cloud computing and artificial intelligence (AI), according to an agreement signed on Friday by Macao SAR government and Alibaba Cloud.

  • Macao SAR Chief Executive Office Director O Lam and President of Alibaba Cloud Hu Xiaoming signed the Strategic Cooperation Framework Agreement to Build Smart City at a ceremony presided by SAR Chief Executive Chui Sai On and the board of directors of Alibaba Group Jack Ma.
  • O Lam told a press conference that the SAR government seriously considered the plan to build Macao as smart city with Alibaba and it was a strategic decision for economy development and people’s welfare.

Macao Special Administrative Region (SAR) Chief Executive Office Director O Lam and President of Alibaba Cloud Hu Xiaoming sign the Strategic Cooperation Framework Agreement to Build Smart City at a ceremony presided by SAR Chief Executive Chui Sai On (2nd R) and the board of directors of Alibaba Group Jack Ma (2nd L), in Macao, south China, Aug. 4, 2017. Macao and Alibaba Cloud will work together to upgrade the SAR into a smart city by applying cloud computing and artificial intelligence (AI), according to the agreement signed on Friday. (Xinhua/Cheong Kam Ka)
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BBC iPlayer

🤖 This is a genuine conversation with a #robot. #Ai

  • Ben meets one of the most humanlike robots in the world, Erica.
  • Professor Danielle George MBE, an electronics engineer from Manchester University and a robot supporter, and Dr Ben Garrod, an evolutionary biologist from Anglia Ruskin University and robo-sceptic, uncover whether the rise of the robots will enhance the progress of humanity or ultimately threaten the survival of the human race.
  • Ben is unashamedly unnerved by the tremendous rate that robots are evolving, whilst Danielle is welcoming them with open arms.
  • To make sense of Ben’s fears and Danielle’s optimism, they set out to investigate the evolution of robots – treating them as if they are an emerging ‘species’.
  • Ben meets one of the most humanlike robots in the world – the disarmingly charming Erica – who might be warm to the touch, but whose sense of humour falls decidedly flat.

Ben Garrod meets one of the most humanlike robots in the world, Erica.
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The Startup Rushing to Usher in the Self-Driving Era Even Faster

The #Startup Rushing to Usher in the #SelfDriving Era Even Faster  @driveai_ #Cars #AI

  • Drive.ai never set out to build the best self-driving car.
  • Instead of striking early deals with car manufacturers to see who can roll out the most robust working product—though Drive.ai says it has some secret deals in place already—the company has focused on creating the best possible, fully autonomous self-driving AI “brain” in the world.
  • The company’s test vehicles have shown promising results driving in cloudy and rainy conditions that continue to stump other self-driving cars, bringing the world that much closer to the true prize in self-driving tech: the ability to eliminate the human altogether.
  • For now, drivers are expected to maintain awareness at all times, ready to take control of mostly self-driving cars if conditions make the automated system screw up.
  • And by lowering the price tag on self-driving from the cost of a new futuristic vehicle to that of a retrofit kit that can hook up with your old Toyota Tercel, Drive.ai could create a mass market overnight.

Using a simple kit users can make their cars self-driving if Drive.Ai is able to make these work for all car models on the road.
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The Air Force and IBM are building an AI supercomputer

The Air Force and @IBM are building an #AI supercomputer #techradio

  • IBM and the USAF announced on Friday that the machine will run on an array of 64 TrueNorth Neurosynaptic chips.
  • The TrueNorth chips are wired together like, and operate in a similar fashion to, the synapses within a biological brain.
  • That is, these chips don’t require a clock, as conventional CPUs do, to function.VIDEOWhat’s more, because of the distributed nature of the system, even if one core fails, the rest of the array will continue to work.
  • This 64-chip array will contain the processing equivalent of 64 million neurons and 16 billion synapses, yet absolutely sips energy — each processor consumes just 10 watts of electricity.Like other neural networks, this system will be put to use in pattern recognition and sensory processing roles.
  • The Air Force wants to combine the TrueNorth’s ability to convert multiple data feeds — whether it’s audio, video or text — into machine readable symbols with a conventional supercomputer’s ability to crunch data.This isn’t the first time that IBM’s neural chip system has been integrated into cutting-edge technology.

Supercomputers today are capable of performing incredible feats, from accurately predicting the weather to uncovering insights into climate change, but they sti…
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Facebook Training AI Bots to Negotiate with Humans – News Center

See how Facebook used #GPUs + #AI to train bots to negotiate and compromise with humans.

  • In a new blog post, Facebook explains how existing chatbots can hold short conversations and perform simple tasks such as booking a restaurant – but building machines that can hold meaningful conversations with people is challenging because it requires a bot to combine its understanding of the conversation with its knowledge of the world, and then produce a new sentence that helps it achieve its goals.
  • To help build their training set, the team created an interface with multi-issue bargaining scenarios and crowdsourced humans on Amazon Mechanical Turk to negotiate in natural language to divide a random set of objects.
  • The models were trained end-to-end from the language and decisions that humans made, meaning that the approach can easily be adapted to other tasks.
  • Reinforcement learning was then used to reward the model when it achieved a good outcome which prevents the AI bot from developing its own language.
  • In their experiments, majority of the people didn’t know they were talking to a bot and FAIR’s best reinforcement learning negotiation agent matched the performance of human negotiators – achieving better deals about as often as worse deals.

Researchers at Facebook Artificial Intelligence Research (FAIR) published a paper introducing AI-based dialog agents that can negotiate and compromise.
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Innovation endorsed by Orange: welcome to tomorrow’s world

#Djingo #Chatbot #Watson… #AI is already everywhere in our lives #Vivatech

  • Sharing our vision of the future, including advances in research and innovation.
  • Our goal is to make our innovations accessible to as many people as possible.
  • When technology starts with people and serves people, it makes progress.
  • We also want to promote innovative and responsible uses of digital technologies – prudent innovation – that improve everyday life for everyone.
  • Innovation and periods of rapid change have always raised questions.

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Human-Level AI Is Right Around the Corner—or Hundreds of Years Away

#Human level #ai is in sight

  • Robin Hanson
    Martine Rothblatt
    Ruchir Puri
    Ray Kurzweil
    Carver Mead
    Nick Bostrom
    Rodney Brooks
    Gary Marcus
    JĂĽrgen Schmidhuber

    Robin Hanson
    Author of The Age of Em: Work, Love, and Life When Robots Rule the Earth
    When will we have computers as capable as the brain?

  • Ray Kurzweil
    Cofounder and chancellor, Singularity University
    When will we have computers as capable as the brain?
  • Carver Mead
    Professor emeritus, California Institute of Technology
    Do you have any qualms about a future in which computers have human-level (or greater) intelligence?
  • Since we won’t have intelligent computers like humans for well over 100 years, we cannot make any sensible projections about how they will change the world, as we don’t understand what the world will be like at all in 100 years.
  • Computers are already far more capable than brains in many respects (for example, arithmetic and memory), but I think it could still be 20 to 50 years before machines have the ability to read and comprehend and reason about novel situations as fluently as people can.

Ray Kurzweil, Rodney Brooks, and others weigh in on the future of artificial intelligence
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