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A remotely-operated robot reproducing the minutest particulars of a human doing complicated work will be taken into space to do dangerous jobs in orbit. An operational prototype has been demonstrated to the Russian government’s military sci-tech curator.

Military robots under development in Russia won’t be limited to the battlefield only: space applications will have priority, Deputy Prime Minister Dmitry Rogozin told reporters last weekend.

“We’ve launched work to create an avatar that will become a crewmember of the Russian national orbital station,” Rogozin said.

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This is very true; everyone knows in order for AI to truly be embraced by both consumers and industry; that Cyber Security on multiple fronts will need to be invested in to ensure better adoption of all the great technology on the horizon.


Though the cyber security industry has lost its momentum in the past several months, partially due to the weakness in the broad technology sector, it is poised for exponential growth in the coming years in the face of increasing cybercrime and the need to protect against these threats. According to Gartner, global security spending will increase 4.7% year over year to $75.4 billion in 2015 with some analysts projecting the global market to grow from $77 billion in 2015 to $170 billion by 2020.

The Q4 earnings reports of several industry players reflect this trend as most of them have beaten our earnings and revenue estimates with an encouraging outlook. Yet, they failed to drive the space and its ETFs higher that might suggest attractive entry point at the current level (read: 16 Bold ETF Predictions for 2016 ).

Let’s dig into the earnings results of some of the cyber security firms that have the largest allocation to the ETFs in this industry:

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Are you feeling confident about those robots and other AI machines and apps connected to the cloud environments self managing themselves?


The latest round of embarrassing federal data breaches struck the very agencies charged with protecting Americans, evidence one leading member of Congress believes is proof that throwing money at a problem doesn’t solve much unless there’s accountability to go with it.

Last week, the personal data of some 20,000 FBI employees and more than 9,000 Department of Homeland Security workers was released.

Days later, the story took on additional embarrassment when authorities arrested the perpetrator, a 16-year-old boy in Great Britain. The teen said he gained access to the information through weak security in the Department of Justice email system.

I was waiting for this HIPAA’s new guidelines for mobile apps (focuses a lot on IAM); this is only the first wave. We will see more when more AI is launched.


Federal regulators have issued new guidance, including material to clarify for healthcare entities and software developers various scenarios where HIPAA regulations might apply to mobile health applications, including situations when patients use smartphones to collect or transmit personal health data.

See Also: 2015 Breach Preparedness and Response Study: The Results

Some privacy and security experts say the new mobile application guidance material from the Department of Health and Human Services’ Office for Civil Rights addresses a topic that is not only a current source of confusion for many covered entities and business associates, but also is likely to become increasingly complex as more consumers use smartphones and other devices to help manage chronic illnesses and other health issues.

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I believe that AI holds a lot of promise and many great things; however, we have to correct some very critical issues 1st before compound a huge issue that we have today. And, that is Cyber Security and re-establish trust with our consumers and customers. Without these 2 being fully addressed; you will compound these two challenges with AI plus run the risk of having an IoT that most people will not wish to use due to hackers, bad data, etc. Not to mention lawsuits for Wi-Fi connected robotics that were hacked and injured or worse some innocent person.

I believe need to ensure priorities are in order before we make things worse.


Unexpected convergent consequences…this is what happens when eight different exponential technologies all explode onto the scene at once.

This post (the second of seven) is a look at artificial intelligence. Future posts will look at other tech areas.

This is one that truly depends on the targeted audience. I still believe that the 1st solely owned & operated female robotics company will make billions.


Beyond correct pronunciation, there is the even larger challenge of correctly placing human qualities like inflection and emotion into speech. Linguists call this “prosody,” the ability to add correct stress, intonation or sentiment to spoken language.

Today, even with all the progress, it is not possible to completely represent rich emotions in human speech via artificial intelligence. The first experimental-research results — gained from employing machinelearning algorithms and huge databases of human emotions embedded in speech — are just becoming available to speech scientists.

Synthesised speech is created in a variety of ways. The highest-quality techniques for natural-sounding speech begin with a human voice that is used to generate a database of parts and even subparts of speech spoken in many different ways. A human voice actor may spend from 10 hours to hundreds of hours, if not more, recording for each database.

“We need to start thinking very seriously—what will humans do when machines can do almost everything?” Vardi said. “We have to redefine the meaning of good life without work.”


And increase inequality.

Robots and artificial intelligence have long posed a threat to humans’ jobs, but a group of scientists on Sunday issued an especially dire warning about the impact of such machines.

Several academics told a meeting of the American Association for the Advancement of Science that further advances in automation could result in mass unemployment across a whole spectrum of industries, from transportation to sex work.

The article entitled “Yes Robots Will Steal Our Jobs, But Don’t Worry We’ll Get New Ones” published by Rawstory is a very Interesting Article; however, again, I see too many gaps that will need to be address before AI can eliminate 70% of today’s jobs. Below, are the top 5 gaps that I have seen so far with AI in taking over many government, business, and corporate positions.

1) Emotion/ Empathy Gap — AI has not been designed with the sophistication to provide personable care such as you see with caregivers, medical specialists, etc.

2) Demographic Gap — until we have a more broader mix of the population engaged in AI’s design & development; AI will not meet the needs for critical mass adoption; only a subset of the population will find will connection in serving most of their needs.

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Lack of good Cyber Security across the net, will continue to be a key reason why AI in general will not deliver the return on new AI tech products and robots / devices. $3+ million in ranson may not be that large to mid size and large tech companies; however, it is everything to small businesses and small businesses and consumers is what keeps tech in business.


Hospital staff severely impeded in their day-to-day work.

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