Saudi Arabia becomes first country to grant citizenship to a robot

Saudi Arabia becomes the first country to grant citizenship to a robot #design #AI

  • Saudi Arabia has officially recognised a humanoid robot as a citizen, marking the first time in history that an AI device has been awarded such status.
  • Sophia, an intelligent humanoid robot created by Hanson Robotics, announced the citizenship herself during a panel discussion at the Future Investment Initiative conference in Saudi Arabia.
  • It is unclear whether she will receive the same rights as human citizens, or if Saudi Arabia will develop a specific system devoted to robots.
  • But she appeared to swerve questions directed at robots’ self-awareness, and instead poked fun at comments made by Elon Musk that AI is a “fundamental risk to human civilisation”.
  • Many in the design industry have already expressed concerns about the way humans and robots will live together.

Saudi Arabia has recognised a humanoid robot as a citizen of its country, marking the first time in history that an AI device has been awarded such status.
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New Smart Robots In The Neighbourhood — GadgTecs

New Smart Robots in The Neighborhood!  #Science #ArtificialIntelligence #ai

  • These are ‘Voltron‘ like smart robots that have the ability to choose their own leader.
  • The idea behind this invention is taken from the famous American animated television series – Voltron: Defender of the Universe, where five lion-shaped robots link up to form a giant robot that fights against evil.
  • A team of scientists has come up with robots that work together and choose their own leader.
  • However, the team of scientists, led by Marco Dorigo, head of a robotic lab in Brussels, built robots that can link up together, react to their surroundings, and can pass on authority to another member in the group.
  • The leader can decide to add new robots to the group and link it with everyone.

These are ‘Voltron’ like smart robots that have the ability to swarm togather and choose their own leader. Doesn’t that sound new and interesting?
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New Smart Robots In The Neighbourhood — GadgTecs

New Smart Robots In The Neighbourhood — @GadgTecs  #ai

  • These are ‘Voltron‘ like smart robots that have the ability to choose their own leader.
  • The idea behind this invention is taken from the famous American animated television series – Voltron: Defender of the Universe, where five lion-shaped robots link up to form a giant robot that fights against evil.
  • A team of scientists has come up with robots that work together and choose their own leader.
  • However, the team of scientists, led by Marco Dorigo, head of a robotic lab in Brussels, built robots that can link up together, react to their surroundings, and can pass on authority to another member in the group.
  • The leader can decide to add new robots to the group and link it with everyone.

These are ‘Voltron’ like smart robots that have the ability to swarm togather and choose their own leader. Doesn’t that sound new and interesting?
Continue reading “New Smart Robots In The Neighbourhood — GadgTecs”

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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Deep Learning: Definition, Resources, Comparison with Machine Learning

#DeepLearning: Definition, Resources, Comparison with #MachineLearning #abdsc

  • It is about designing algorithms that can make robots intelligent, such a face recognition techniques used in drones to detect and target terrorists, or pattern recognition / computer vision algorithms to automatically pilot a plane, a train, a boat or a car.
  • Many deep learning algorithms (clustering, pattern recognition, automated bidding, recommendation engine, and so on)  — even though they appear in new contexts such as IoT or machine to machine communication — still rely on relatively old-fashioned techniques such as logistic regression, SVM, decision trees, K-NN, naive Bayes, Bayesian modeling, ensembles, random forests, signal processing, filtering, graph theory, gaming theory, and many others.
  • Some are new, such as indexation algorithms to automate digital publishing, improve search engines, or create and manage large catalogs such as Amazon’s product listing.
  • Example of deep learning algorithms for clustering

    As a result, many deep learning practitioners call themselves data scientist, computer scientist, statistician, or sometimes engineer.

  • Below are some resources to help you get started with deep learning: articles on this topic started to appear in large numbers around 2015, though many date back to before 1990.

Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make…
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BBC

Garry Kasparov: Why the world should embrace AI  #ai

  • Not at all, says chess grandmaster and former World Chess Champion Garry Kasparov.
  • Kasparov has direct experience of being humbled by a machine, so it’s perhaps surprising that he has a pro-AI outlook.
  • Since then Kasparov has gone on to become something of an AI authority: his new book, Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins was released last month.
  • The BBC Click team caught up with Kasparov at this year’s Hay Festival in the UK.
  • In the video above, watch what he had to say about the inevitability of AI’s rise – and why it could actually be a revolution that will help humans work even better.

The chess grandmaster, who once saw his skills outstripped by artificial intelligence, explains why it’s time to welcome the era of smart machines.
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Nearly 1 in 4 fear robots taking over the world

Nearly 1 in 4 fear robots taking over the world  #robotics #AI MT @HopeFrank

  • The Pegasystems survey of 6,000 customers across six countries found that close to three quarters (68%) of Brits express some sort of fear about AI, with almost one quarter (23%) worried about robots taking over the world.
  • Further findings revealed the potential impact of these deep-rooted fears on businesses, with less than one in three (28%) of British consumers comfortable with businesses using AI to engage with them.
  • Robots and AI were also found to confuse consumers, with the survey exposing a basic misunderstanding of AI.
  • Less than a quarter (23%) of UK consumers who report no AI experience feel at ease with businesses using AI to engage with them.
  • But for UK AI consumer veterans, this number jumps to 56% – a full 33 points higher.

A Pegasystems survey has revealed the extent of consumer AI fears, with almost one quarter (23%) of Brits were worried about robots taking over the world.
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Taxing robots? This is why we might need to

Taxing robots? This is why we might need to @RobertJShiller  #AI

  • Optimists point out that there have always been new jobs for people replaced by technology; but, as the robot revolution accelerates, doubts about how well this will work out continue to grow.
  • A tax on robots, its advocates hope, might slow down the process, at least temporarily, and provide revenues to finance adjustment, like retraining programs for displaced workers.
  • But let’s not rule out so quickly at least modest robot taxes during the transition to a different world of work.
  • And while this would not tax individual human success, as income taxes do, it might in fact imply somewhat higher taxes on higher incomes, if high incomes are earned in activities that involve replacing humans with robots.
  • A moderate tax on robots, even a temporary tax that merely slows the adoption of disruptive technology, seems a natural component of a policy to address rising inequality.

The idea of a tax on robots was raised last May in a draft report to the European Parliament prepared by MEP Mady Delvaux from the Committee on Legal Affairs. Emphasizing how robots could boost inequality, the report proposed that there might be a “need to introduce corporate reporting requirements on the extent and proportion of the contribution of robotics and AI to the economic results of a company for the purpose of taxation and social security contributions.”
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Google and IBM: We Want Artificial Intelligence to Help You, Not Replace You

Google and IBM: We Want Artificial Intelligence to Help You, Not Replace You

  • In an era of maturing artificial intelligence technology, what does the future of the corporation look like?
  • This dynamic has become a mainstay of the dialogue around AI, with voices from technology visionaries such as Bill Gates and Stephen Hawking weighing in.
  • AI is intended to help—not hinder—the human workforce, they said.
  • “AI is actually not new for us,” said Vanitha Narayanan, chairman of IBM India, whose Watson supercomputer has risen to global acclaim.
  • But “technology always comes way ahead of policy.”

Google and IBM: We Want Artificial Intelligence to Help You, Not Replace You
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AI is learning to speed read

AI is learning to speed read

  • As clever as machine learning is, there’s one common problem: you frequently have to train the AI on thousands or even millions of examples to make it effective.
  • If Gamalon has its way, you could put AI to work almost immediately.
  • The startup has unveiled a new technique, Bayesian Program Synthesis, that promises AI you can train with just a few samples.
  • If you show it very short and tall chairs, for example, it should figure out that there are many chair sizes in between.

As clever as machine learning is, there’s one common problem: you frequently have to train the AI on thousands or even millions of examples to make it effective…
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