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Archive for the ‘robotics/AI’ category: Page 2362

Feb 12, 2016

Curious AI Wants To Make The Singularity A Reality

Posted by in categories: robotics/AI, singularity, transportation

Over the last few years tech companies both large and small have developed programs that can “dream”; and understand and process information; and even write articles; but nothing has come close to the holy grail of artificial intelligence — developing software that can learn independently.

At least, not until now.

Helsinki might seem like an unlikely potential birthplace for this new era of intelligent machines. Yet it’s there — on a side street blocks from the central train station — that a team of roboticists, neuroscientists, and graphics programmers planted the seed that would become the new artificial intelligence software developer, The Curious AI Company.

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Feb 12, 2016

Electronic luggage tag lets travelers check-in bags from home

Posted by in categories: mobile phones, robotics/AI, transportation

Expensive travel bags should do more than look good, and German high-end luggage manufacturer Rimowa would seem to agree. The company has developed an electronic luggage tag which displays baggage info in the same format, size and appearance of typical paper labels, but on a digital screen built into the unit and located near the handle.

The Rimowa e-tag is similar to a device tested by British Airways in 2013, which allowed travelers to attach it to any piece of luggage.

Continue reading “Electronic luggage tag lets travelers check-in bags from home” »

Feb 12, 2016

‘Summon’ Feature Lets Tesla Vehicles Park Themselves With No Driver In The Seat

Posted by in categories: robotics/AI, sustainability, transportation

Tesla Version 7.1 adds driverless automatic parking to Tesla Model S and Model X vehicles.

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Feb 12, 2016

Yes, robots will steal our jobs — but don’t worry, we’ll get new ones

Posted by in categories: biotech/medical, business, economics, employment, ethics, neuroscience, robotics/AI, security

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.
3) Ehtics & Morale Code Gap — AI still cannot understand at a full cognitive level ethics & empathy to a degree that is required.
4) Trust and Compliance Gap — companies need to feel that their IP & privacy is protected; until this is corrected, AI will not be able to replace an entire back office and front office set of operations.
5) Security & Safety Gap — More safeguards are needed around AI to deal with hackers to ensure that information managed by AI is safe as well as ensure public saftey from any AI that becomes disruptive or hijacked to cause injury or worse to the public

Until these gaps are addressed; it will be very hard to eliminate many of today’s government, office/ business positions. The greater job loss will be in the lower skill areas like standard landscaping, some housekeeping, some less personable store clerk, some help desk/ call center operations, and some lite admin admin roles.

Continue reading “Yes, robots will steal our jobs — but don’t worry, we’ll get new ones” »

Feb 12, 2016

Using stories to teach human values to artificial agents

Posted by in categories: computing, ethics, robotics/AI

DARPA’s efforts to teach AI “Empathy & Ethics”


The rapid pace of artificial intelligence (AI) has raised fears about whether robots could act unethically or soon choose to harm humans. Some are calling for bans on robotics research; others are calling for more research to understand how AI might be constrained. But how can robots learn ethical behavior if there is no “user manual” for being human?

Researchers Mark Riedl and Brent Harrison from the School of Interactive Computing at the Georgia Institute of Technology believe the answer lies in “Quixote” — to be unveiled at the AAAI-16 Conference in Phoenix, Ariz. (Feb. 12 — 17, 2016). Quixote teaches “value alignment” to robots by training them to read stories, learn acceptable sequences of events and understand successful ways to behave in human societies.

Continue reading “Using stories to teach human values to artificial agents” »

Feb 12, 2016

New computer chip could make artificial intelligence mobile

Posted by in categories: computing, robotics/AI

The new mobile AI Chip.


MIT researchers have designed a computer chip that will be able to power a truly mobile artificial intelligence device.

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Feb 12, 2016

Carnegie Mellon invests $12M into AI to ‘reverse-engineer the brain’

Posted by in categories: neuroscience, robotics/AI

A research project at Carnegie Mellon will try to emulate the brain to gain insights to apply to machine learning. Here’s what you should know.

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Feb 12, 2016

Google Wants to Take the Steering Wheel out of Its Autonomous Cars, Doesn’t Trust Humans

Posted by in categories: law, robotics/AI, transportation

Robots could be considered legal drivers in the United States. This means human occupants inside the vehicle wouldn’t require a valid license in order to ride inside—the software would be the vehicle’s legal “driver.”

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Feb 12, 2016

Half Helicopter, Half Plane Drone Could Be The Future Of Delivery

Posted by in categories: robotics/AI, transportation

More Videos by NowThis Future.

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Feb 11, 2016

Faster Than Thought: DARPA, Artificial Intelligence, & The Third Offset Strategy

Posted by in categories: internet, robotics/AI

ARLINGTON: The Defense Advanced Research Projects Agency (DARPA) is developing artificial intelligence that can help humans understand the floods of data they unleashed 50 years ago with the Internet and make better decisions, even in the heat of battle. Such “human-machine collaboration” — informally known as the centaur model — is the high-tech holy grail of the Defense Department’s plan to counter Russian and Chinese advances, known as the Third Offset Strategy.

“We’ve had some great conversations with the deputy,” said DARPA director Arati Prabhakar, referring to the chief architect of Offset, Deputy Defense Secretary Bob Work. “In many of our programs you’ll see some of the technology components” of the strategy. But it’s more than specific technologies, however exotic: It’s about a new approach to technology.

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