Headline Jan 28, 2018/ ''' *ROBOTICS* FOR ROMANTICS '''

''' *ROBOTICS* FOR ROMANTICS '''

*PROUD TO PAKISTAN* : From and on behalf the entire world, and over, the World Students Society gives the students of Pakistan a standing ovation

Merium, Rabo, Haleema, Saima, Zilli, Dee, Sameen, Paras, Sorat, Sarah, Aqsa, Seher, Eman, Tooba,  Armeen, Hussain, Shahzaib, Sharayar, Mustafa, Bilal, Salar, Zaeem, Haider- Danyial/UK, and Ghazi

The students of Pakistan in turn thank the students of the entire world, in particular, the students of Indonesia, Malaysia, North Korea, Singapore. India, China, Israel and Cambodia......

And....... make preparations to go attend some real Robotic marriages.........

*HONG KONG : OH  -DEAR, Lifelike robots made in Hong Kong meant to win over humans as artist and robotics scientist, Hanson continues to grapple with-

Animatronic theme park shows, sculpting props and characters for Disney attractions like Pooh's Hunny Hunt and Mermaid Lagoon.

He studied film, animation and video, eventually earning a doctorate in interactive arts and technology from the University of Texas at Dallas.

Hanson says he makes his robots as human-like as possible to help alleviate fears about robots, artificial intelligence and automation. That runs contrary to a tendency in the industry to use cute robo-pets or overtly machine like robots like-

Star Wars R2-D2 to avoid the ''uncanny valley'' problem with human likenesses such as wax models and robots that many people find a bit creepy.

Some experts see Sophia as mainly a clever marketing gimmick.

''It's a good advertising tool, whatever that company produces as a business plan,'' said Roland Chin,  chair professor of computer science at Hong Kong Baptist University.

Global market revenue for service robotics is forecast to grow from $3.7 billion in 2015 to $15 billion in 2020 according to IHS Markit.

That includes both professional and domestic machines like warehouse automatons, smart vacuums and fuzzy companion robots. 

But as these machines train themselves through hours of data analysis, they may also find their way to unexpected, unwanted and perhaps even very harmful behavior.

That's a concern as these techniques move into online services, security devices and robotics.

Now, a small community of A.I. researchers, including Mr. Amodel, is beginning to explore mathematical techniques that aim to keep the worst from happening.

At OpenAI, Mr. Amodel and his colleagues Paul Christiano are developing algorithms that can not only learn tasks through hours of  trial and error, but also receive regular guidance from human teachers along the way.

With a few clicks here and there, the researchers now have a way of showing the autonomous system that it needs to win points in Coast Runners while also moving toward the finish line.

They believe that these kinds of algorithms -a blend of human and machine instruction -can help keep automated systems safe.

FOR YEARS, Mr. Musk, along with the other pundits, philosophers and technologists, have warned that machines could spin outside our control and somehow learn malicious behavior their designers didn't anticipate.

At times, these warnings have seemed overblown, given that today's autonomous car systems can even get tripped up by the most basic tasks, like recognizing a fake lane or a red light.

But researchers like Mr. Amodel are trying to get ahead of the risks. In some ways, what these scientists are doing is a bit like a parent teaching a child right from wrong.

Many specialists in the A.I. field believe a technique called reinforcement learning -a way for machines to learn specific tasks through extreme trial and error -could be a primary path to artificial intelligence.

Researchers specify a particular reward the machine should strive for, and as it navigates a task at random, the machine keeps a close track of what brings the reward and what doesn't.

WHEN OpenAI trained its bot to play Coast Runners, the reward was more points.

The video game training has real world implications.

If a machine can learn to navigate a racing game like Grand Theft Auto, researchers believe, it can learn to drive a real car.

If it can learn to use a web browser and other common software apps, it can learn to understand natural language and maybe even carry on a conversation.

At places like Google and University of California, Berkeley, robots have already used the techniques to learn simple tasks like picking things up or opening a door.

The Honor and Serving of the latest Operational Technology on Robotics continues.

With respectful dedication to the Future, Scientists, Inventors and Students, Professors and Teachers of the world. See Ya all ''register'' on !WOW!  -the World Students Society and Twitter -!E-WOW! -the Ecosystem 2011:

''' Cue the Crown '''

Good Night and God Bless

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