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Long way before AI systems take over humans jobs: Study

Researchers at university of California, Los Angeles (UCLA) in the US conducted various experiments which showed that it is easy to fool the deep learning neural networks.​​​​​​​”The machines have severe limitations that we need to understand,” said Philip Kellman, a UCLA professor and senior author of the study published in the journal PLOS Computational Biology 

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Skills gap puts $1.97 trillion growth at risk in India: Report

“We must offer more experiential on-the-job training and help people adopt life-long learning as their jobs are transformed. Digital tools and applications — like Artificial Intelligence, analytics and Blockchain — will be essential in delivering these new learning approaches,” said Rekha M Menon, Chairman and Senior Managing Director at Accenture in India

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How Big Tech is using Artificial Intelligence to stop Hackers

Hackers are themselves famously adaptable, of course, so they too could harness machine learning to create fresh mischief and overwhelm the new defenses. For example, they could figure out how companies train their systems and use the data to evade or corrupt the algorithms. The big cloud services companies are painfully aware that the foe is a moving target but argue that the new technology will help tilt the balance in favor of the good guys.

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Robots haven’t eliminated many jobs – so far: World Bank

In its report, the World Bank instead stresses that the nature of work in the future will evolve. While technological advances in automation are starting to handle thousands of routine tasks and will eliminate many low-skill jobs in advanced economies and developing countries, it’s also creating opportunities for different, more productive and more creative jobs

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Competition in Artificial Intelligence Is like new space race: Viewpoint

Improved image-recognition has worked wonders in some fields of medicine. For example, Google has developed a system for grading prostate cancer that does it more accurately than U.S. pathologists, and a Stanford team has achieved similar success with skin cancer. Where lots of data exist and precision is valued, AI can help humans make better decisions, even though it still messes up regularly when trained on biased data sets or is intentionally tricked. Humans are less prone to misidentifying objects and are better able to correct for their biases.

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What does the future hold for data privacy?

A group of mobile telephone operators in India has begun a pilot project with the World Health Organisation to identify whether their network data can provide insights into population volume and movement patterns and be used to improve planning to control the spread of tuberculosis – one of the biggest killers in the country.

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