Meet the 13-year-old prodigy taking IBM and artificial intelligence by storm

Meet the 13-year-old prodigy taking IBM and #AI by storm:  #developers #kidswhocode #tech

  • Read the full ABC article and watch the video interview to learn more about Tanmay and his work in the field of AI.
  • The Australian Broadcasting Corporation (ABC) recently profiled 13-year-old Canadian tech prodigy Tanmay Bakshi who started using computers at age five, launched his first app at age nine, and has been working with IBM’s AI and cognitive APIs for a couple of years now.
  • ABC notes: “the Canadian teen has become a global force in programming and commands more than 20,000 subscribers on his YouTube channel that teaches computer coding.”
  • He is currently in Australia for the IBM Watson Summit, which brings together experts in artificial intelligence to discuss how the technology can help people and businesses in the future.
  • You can also watch Tanmay’s video, “IBM Watson, Machine Learning: How to use the “Retrieve and Rank” service in IBM Bluemix”, one of 80 tutorials he has created and made available on the “Tanmay Teaches” YouTube channel.

A profile of 13-year-old Canadian tech prodigy Tanmay Bakshi who started using computers at age five and works with IBM’s AI and cognitive APIs.
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Elon Musk and Mark Zuckerberg disagree about the future of AI

Elon Musk and Mark Zuckerberg are waging a war of words over the future of AI

  • Tesla CEO Elon Musk and Facebook CEO Mark Zuckerberg are waging a public debate over the merits of AI.
  • Musk has said in the past that AI could be potentially very damaging to humans, and Zuckerberg recently called such doomsday predictions “irresponsible.”
  • Musk responded on Twitter, calling Zuckerberg’s understanding of AI “limited.”

Elon Musk and Mark Zuckerberg are currently embroiled in a public debate over the future of AI.
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Demand for artificial intelligence goes global

Demand for artificial intelligence goes global
#AI #MachineLearning #Fintech #ML #tech

  • ‘The financial sector understands the value of innovation and there is real ambition to implement artificial intelligence around the world, especially in Europe and the US’

    Synechron Inc., the global financial services consulting and technology services provider, has announced that nearly 60 financial institutions are set to implement artificial intelligence (AI) technology – with interest spanning across four continents.

  • Currently, 57 financial institutions based in Europe, the US, Middle East and Asia are being helped to adopt AI technology by Synechron: 28% of these firms are based in Europe with UK headquartered institutions accounting for nearly half (45%) of the interest in Europe, and 23% of interest worldwide.
  • >See also: 5 ways AI will impact the global business market in 2017

    A further 26% involve natural language processing or natural language generation.

  • Most (54%) of the interest from the UK is centered on robotic process automation, while 43% of US firms and 30% of firms based on the European continent are interested in adopting natural language processing or natural language generation technology.
  • >See also: Digital investment doubles in the UK, led by IoT and AI

    Faisal Husain, Synechron co-founder and CEO, said: “The financial sector understands the value of innovation and there is real ambition to implement artificial intelligence around the world, especially in Europe and the US.

Demand for artificial intelligence reaches four continents in three months, new figures from Synechron show
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AI Financing Is Seven Times Higher in US Than China

#AI Financing Is Seven Times Higher in #US Than #China

  • AI Financing Is Seven Times Higher in US Than China

    (Yicai Global) July 28 — Total financing in America’s artificial intelligence sector totaled USD20.7 billion from 2001 through 2016, making up 71.8 percent of AI financing worldwide, a new report from Chinese digital industry think tank Wuzhen Institute said.

  • Despite possessing great potential for AI development, China’s overall strength in the field significantly lags behind the US in terms of both the number of companies and the scale of financing.
  • AI in China has developed most rapidly during the last three years, with new firms formed during that time making up 55.38 percent of the total number of AI companies in China from 2000 through 2016, the report finds.
  • Financing of China’s AI companies over the last three years also accounts for 93.59 percent of total domestic financing since 2000.
  • Regionally, Beijing ranks first in China in terms of new AI companies and financing, representing 50 percent of the country’s total financing.

Total financing in America’s artificial intelligence sector totaled USD20.7 billion from 2001 through 2016, making up 71.8 percent of AI financing worldwide, a new report from Chinese digital industry think tank Wuzhen Institute said.
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Russia is building an AI-powered missile that can think for itself

Russia is building an AI-powered missile that can think for itself — via @futurism

  • Today’s most advanced weapons are already capable of “making decisions” using built-in smart sensors and tools.
  • However, while these weapons rely on some sort of  artificial intelligence (AI)  technology, they typically don’t have the ability to choose their own targets.
  • Creating such weapons is now Russia’s goal, according to the country’s defense officials and weapons developers.
  • Russia certainly isn’t the first nation to explore militarized AI.
  • The US plans to incorporate AI into long-range anti-ship missile, and China is supposedly working on its own AI-powered weapons.

“As of today, certain successes are available, but we’ll still have to work for several years to achieve specific results.”
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Artificial Intelligence, Real Food

Artificial Intelligence ~ Real food
#ai #machinelearning #recipes #watson
In @HarvardBiz

  • Chef Watson can’t chop, dice, or julienne.
  • But ask the chef for a recommendation on cooking with green olives, and his knowledge is vast, incorporating data points from a library of recipes and an encyclopedia of flavor profiles.
  • One of the early applications of IBM’s Watson technology, Chef Watson’s intelligence is in food.
  • The goal for Chef Watson, IBM says, is to “surprise and delight human chefs.”
  • HBR enlisted two cooks to partner with Watson in the kitchen: Ming Tsai, a renowned professional chef, and Gretchen Gavett, an HBR editor and kitchen novice.

We asked IBM’s AI to create recipes and then had celebrity chef Ming Tsai cook them. Watch what happened.
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