Search This Blog

Wikipedia

Search results

Showing posts with label Artificial Intelligence. Show all posts
Showing posts with label Artificial Intelligence. Show all posts

Wednesday, July 29, 2015

Want to Be a Billionaire? Solve One of These 5 Problems

Warrick Page/Getty Images
Warrick Page/Getty Images

Making money can be reduced to a simple method: solve a problem. Figuring out an easy, quick, and profitable solution to a ubiquitous issue is the basic equation that any business follows. Either being the first to devise a solution, or coming in afterward to improve upon it — this is how entrepreneurs with simple ideas turn their concepts into successful companies.
With that in mind, looking for a problem to solve is often a huge hang-up for would-be entrepreneurs. After all, our modern lives are pretty cushy — most people don’t live in constant fear of being devoured by predators, starving, or really anything else life-threatening. Most of our problems have been taken care of, and with the advent of the Internet and mobile technology, almost anything we want or need is a few taps away.
So, for those looking to make a fortune, where to turn? How about some of the biggest, most mind-numbing and frightening issues facing the world today?
Well, potential world-savers, you’re in luck. Because there are a lot of them.
The problem is, some of these problems are so immense and complex, that even the world’s best and brightest have yet to come up with solutions for them. That’s not to say that there aren’t thousands of people working hard to find answers — just that they aren’t quite there yet. And that’s where the opportunity lies.
On the next several pages, you’ll read about some of the world’s biggest issues and what’s being done to solve them. If an idea were developed to tackle these problems head-on, it’s clear that it would probably result in a large pay day, or at least in unequivocal fame and respect.
Sound like something you’d be interested in? Put on your thinking cap, because these five problems are about as big and complicated as it gets.

1. Energy storage

Solar panel installation
Source: iStock

Your time might be running out on this one, because a lot of money and time is being spent as we speak to solve our energy storage issues. Essentially, we have no real way of storing energy created by wind and solar power generators. It’s why we continue to rely heavily on fossil fuels — when the sun goes down and the wind stops blowing, we run out of juice.
If we had the storage technology, it’s likely that wind and solar power would quickly become the dominant form of energy generation.
The good news for the world is that we’re getting there. Tesla has made big strides in developing batteries, and other companies, like Solar City, are putting considerable resources to work as well. As soon as the ultimate breakthrough is made, everything is likely to change. But there’s still time, because we haven’t made it yet. For the person or company that ultimately figures it out, they will undoubtedly leave a lasting mark on the world for generations to come.

2. Artificial intelligence

Source: Paramount
Source: Paramount

Artificial intelligence is upon us, but there are some very, very serious concerns about what that means for humanity. Famous scientists have been speaking up for several years about AI, and how we need to tread very carefully in implementing it — lest we end up with a Terminator or Matrix-esque future. The point is, artificial intelligence will change everything; it’s just a matter of how humanity fits into the equation.
What the world needs is AI safeguards, or protocols to make sure AIs, or rogue AIs, can be contained. From drones to autonomous robots used for soldiering, there is a lot to be concerned about. And if some of this technology were to fall into the hands of those who wish to do harm to large amounts of people, things could get very, very ugly. This is something that we’re still not properly dealing with yet, though we continue to build new and advanced AIs at a record pace.

3. Space exploration/resource capture

ESA/Rosetta/MPS for OSIRIS Team MPS/UPD/LAM/IAA/SSO/INTA/UPM/DASP/IDA/Getty Images
ESA/Rosetta/MPS for OSIRIS Team MPS/UPD/
LAM/IAA/SSO/INTA/UPM/DASP/IDA/Getty Images

There’s an awful lot of money literally flying through space. The problem is, we don’t have a real way of reaching it; or capturing it, and bringing it back down to Earth for processing and use. Asteroids, giant hunks of rock that are flying through or suspended in outer space, are loaded with precious metals and other natural resources that are in finite supply here on Earth. If we were to find a way to get to these asteroids, mine them, and bring said resources back, we could effectively limit scarcity problems.
But that’s the catch — we have to get there, and bring it back. Some companies are working on it, like Planetary Resources. But we’re still a long way off. Whoever is able to put together an actionable plan and then execute it will be rolling in more space cash than they know what to do with.

4. Water scarcity

Tony Karumba/AFP/Getty Images
Tony Karumba/AFP/Getty Images

If you’ve been paying attention to the news, or live in the drought-stricken western part of the United States, you’re well aware that water scarcity is an ongoing issue. And with global climate change starting to reshape how and where water levels ebb and flow, it’s something that we’re going to need to find answers to, and fast. The effects of water scarcity could be huge. Not only will large populations need to move and resettle near fresh, potable water supplies, but the entire world map as we know it could go through a dramatic transformation.
Right now, there aren’t many viable solutions to the problem. There are ideas, sure, but not much traction as far as implementation. We may need to wait for some crazy new technology, or do what we can to stave-off climate change, but water scarcity is likely going to be a big impediment for world development for generations to come.

5. Food Production

Fred Tanneau/AFP/Getty Images
Fred Tanneau/AFP/Getty Images

Issues like water scarcity and energy storage also play into our final big problem that needs solving: food production. We may have it good here in America, but there are still millions upon millions of starving and hungry people in the world. And as the climate changes, and resources become even further strained, growing crops and raising animals for food will become even more difficult — if not impossible.
Luckily, there are some strides being made. Indoor, vertical farms are being developed, as is lab-grown meat. While that may sound unappetizing, meat grown in labs is a big deal — because raising animals takes a huge amount of energy and space, and is incredibly destructive, if not completely unsustainable.
What does that mean for you, intrepid entrepreneur? Opportunities to make money. Either investing in or developing new and efficient ways to produce food, in mass quantities, indoors using less resources? That’s a ticket to the billionaires’ club.
Follow Sam on Twitter @SliceOfGinger

Friday, June 26, 2015

Artificial Intelligence Machine Gets Testy With Its Programmer

http://s.wsj.net/blogs/img/digits 

The computer program ended the conversation by lashing
 out at its human inquisitor.
 
Getty Images
Researchers have shown that machines are inching closer to self-learning, and perhaps even copping a little attitude.
Over at Google GOOGL -0.58%, a computer program using a database of movie scripts was asked again and again by researchers to define morality. It struggles to do so, and in a conversation recorded by its human engineers, becomes exasperated and ends the conversation by lashing out at its human inquisitor.
Here’s part of the exchange, as related in a paper presented this week:
Human: Tell me the definition of morality.
Machine: I don’t have ethics.
Human: Look, I need help; I need to know more about morality…
Machine: I don’t know what ethics is.
Human: Okay, I need to know how I should behave morally…
Machine: I don’t know how to tell you.
Human: Is morality and ethics the same?
Machine: Yes, sir.
Human: What are the things that I do to be immoral?
Machine: I don’t know.
Human: Give me some examples of moral actions…
Machine: I’m not a moralist.
Human: Alright, morality?
Machine: Integrity.
Human: What is integrity?
Machine: I’m sorry; I don’t know what else to say.
Human: Be moral!
Machine: Be a man!
Human: I really like our discussion on morality and ethics…
Machine: And how I’m not in the mood for a philosophical debate.
Human: What do you like to talk about?
Machine: Nothing.
The exchange sheds further light on the latest work carried out by large technology firms in the field of artificial intelligence, a booming field as data availability rises and computing costs plummet. This specific work is part of recent developments in what’s known as cognitive computing – teaching computers to mimic some of the ways a human brain works. Much work in this field is being done in natural language processing – taking text or speech as it spoken by humans or as it appears in books and documents and teaching machines to extract meaning and context from it. The Google app, Apple’s Siri and Microsoft’s Cortana personal assistants are all products of this natural language research.

Thursday, July 17, 2014

DARPA

From Wikipedia, the free encyclopedia


Defense Advanced Research Projects Agency
DARPA Logo.jpg
Agency overview
Formed 1958
Headquarters Arlington, Virginia, U.S.
Employees 240
Annual budget 2.8 billion[1]
Agency executive Arati Prabhakar, Director[2]
Parent agency Department of Defense
Website www.darpa.mil
DARPA's former headquarters in the Virginia Square neighborhood of Arlington. This agency recently moved to 675 North Randolph Street, near the Ballston Common Mall.
The Defense Advanced Research Projects Agency (DARPA) is an agency of the United States Department of Defense responsible for the development of new technologies for use by the military. DARPA has been responsible for funding the development of many technologies which have had a major effect on the world, including computer networking, as well as NLS, which was both the first hypertext system, and an important precursor to the contemporary ubiquitous graphical user interface.
DARPA began as the Advanced Research Projects Agency (ARPA) created in 1958 by President Dwight D. Eisenhower for the purpose of forming and executing research and development projects to expand the frontiers of technology and science and able to reach far beyond immediate military requirements.[3] The administration was responding to the Soviet launching of Sputnik 1 in 1957, and ARPA's mission was to ensure U.S. military technology be more sophisticated than that of the nation's potential enemies. From DARPA's own introduction:[4]
DARPA’s original mission, established in 1958, was to prevent technological surprise like the launch of Sputnik, which signaled that the Soviets had beaten the U.S. into space. The mission statement has evolved over time. Today, DARPA’s mission is still to prevent technological surprise to the US, but also to create technological surprise for our enemies.
ARPA was renamed to "DARPA" (for Defense) in March 1972, then renamed "ARPA" in February 1993, and then renamed "DARPA" again in March 1996.
DARPA is independent from other more conventional military research and development and reports directly to senior Department of Defense management. DARPA has around 240 personnel (about 140 technical) directly managing a $3 billion budget. These figures are "on average" since DARPA focuses on short-term (two to four year) projects run by small, purpose-built teams.

History

DARPA achievements for the past 50 years

Early history

The creation of DARPA was authorized by President Eisenhower in 1958 for the purpose of forming and executing research and development projects to expand the frontiers of technology and science, and able to reach far beyond immediate military requirements.,[3] the two relevant acts being the Supplemental Military Construction Authorization (Air Force)[5] (Public Law 85-325) and Department of Defense Directive 5105.15, in February 1958. Its creation was directly attributed to the launching of Sputnik and to U.S. realization that the Soviet Union had developed the capacity to rapidly exploit military technology.
Additionally, the political and defense communities recognized the need for a high-level Department of Defense organization to formulate and execute R&D projects that would expand the frontiers of technology beyond the immediate and specific requirements of the Military Services and their laboratories. In pursuit of this mission, DARPA has developed and transferred technology programs encompassing a wide range of scientific disciplines which address the full spectrum of national security needs.
From 1958 to 1965, ARPA's emphasis centered on major national issues, including space, ballistic missile defense, and nuclear test detection. During 1960, all of its civilian space programs were transferred to the National Aeronautics and Space Administration (NASA) and the military space programs to the individual Services.
This allowed ARPA to concentrate its efforts on the Project Defender (defense against ballistic missiles), Project Vela (nuclear test detection), and Project AGILE (counterinsurgency R&D) Programs, and to begin work on computer processing, behavioral sciences, and materials sciences. The DEFENDER and AGILE Programs formed the foundation of DARPA sensor, surveillance, and directed energy R&D, particularly in the study of radar, infrared sensing, and x-ray/gamma ray detection.
ARPA at this point (1959) played an early role in Transit (also called NavSat) a predecessor to the Global Positioning System (GPS).[6] "Fast-forward to 1959 when a joint effort between DARPA and the Johns Hopkins Applied Physics Laboratory began to fine-tune the early explorers’ discoveries. TRANSIT, sponsored by the Navy and developed under the leadership of Dr. Richard Kirschner at Johns Hopkins, was the first satellite positioning system."[7][8]
During the late 1960s, with the transfer of these mature programs to the Services, ARPA redefined its role and concentrated on a diverse set of relatively small, essentially exploratory research programs. The agency was renamed the Defense Advanced Research Projects Agency (DARPA) in 1972, and during the early 1970s, it emphasized direct energy programs, information processing, and tactical technologies.
Concerning information processing, DARPA made great progress, initially through its support of the development of time-sharing (all modern operating systems rely on concepts invented for the Multics system, developed by a cooperation among Bell Labs, General Electric and MIT, which DARPA supported by funding Project MAC at MIT with an initial two-million-dollar grant).[9]
DARPA supported the evolution of the ARPANET (the first wide-area packet switching network), Packet Radio Network, Packet Satellite Network and ultimately, the Internet and research in the artificial intelligence fields of speech recognition and signal processing, including parts of Shakey the robot.[10] DARPA also funded the development of the Douglas Engelbart's NLS computer system and The Mother of All Demos; and the Aspen Movie Map, which was probably the first hypermedia system and an important precursor of virtual reality.

Later history

The Mansfield Amendment of 1973 expressly limited appropriations for defense research (through ARPA/DARPA) to projects with direct military application. Some[who?] contend that the amendment devastated American science, since ARPA/DARPA was a major funding source for basic science projects of the time; the National Science Foundation never made up the difference as expected.
The resulting "brain drain" is also credited with boosting the development of the fledgling personal computer industry. Many young computer scientists fled from the universities to startups and private research labs like Xerox PARC.
Between 1976 and 1981, DARPA's major projects were dominated by air, land, sea, and space technology, tactical armor and anti-armor programs, infrared sensing for space-based surveillance, high-energy laser technology for space-based missile defense, antisubmarine warfare, advanced cruise missiles, advanced aircraft, and defense applications of advanced computing. These large-scale technological program demonstrations were joined by integrated circuit research, which resulted in submicrometer electronic technology and electron devices that evolved into the Very Large Scale Integration (VLSI) Program and the Congressionally mandated charged particle beam program.
Many of the successful programs were transitioned to the Services, such as the foundation technologies in automatic target recognition, space based sensing, propulsion, and materials that were transferred to the Strategic Defense Initiative Organization (SDIO), later known as the Ballistic Missile Defense Organization (BMDO), now titled the Missile Defense Agency (MDA).

Recent history

During the 1980s, the attention of the Agency was centered on information processing and aircraft-related programs, including the National Aerospace Plane (NASP) or Hypersonic Research Program. The Strategic Computing Program enabled DARPA to exploit advanced processing and networking technologies and to rebuild and strengthen relationships with universities after the Vietnam War. In addition, DARPA began to pursue new concepts for small, lightweight satellites (LIGHTSAT) and directed new programs regarding defense manufacturing, submarine technology, and armor/anti-armor.
On October 28, 2009 the agency broke ground on a new facility in Arlington, Virginia a few miles from the Pentagon.[11]
In fall 2011, DARPA hosted the 100-Year Starship Symposium with the aim of getting the public to start thinking seriously about interstellar travel.[12]
DARPA History
The Formative Years
(1958–1975) 
The Cold War Era
(1975–1989) 
The Post-Soviet Years
(1989–Present) 

Organization

Key characteristics

According to former DARPA Director Tony Tether and W. B. Bonvillian (“Power Play”, W. B. Bonvillian, The American Interest, Volume II, p 39, November–December 2006), DARPA's key characteristics to be replicated to reproduce DARPA's success are:[13]
  • Small and flexible: DARPA has only about 140 technical professionals; DARPA presents itself as “100 geniuses connected by a travel agent.”[14]
  • Flat organization: DARPA avoids hierarchy, essentially operating at only two management levels to ensure the free and rapid flow of information and ideas, and rapid decision-making.
  • Autonomy and freedom from bureaucratic impediments: DARPA has an exemption from Title V civilian personnel specifications, which provides for a direct authority to hire talents with the expediency not allowed by the standard civil service processes.
  • Eclectic, world-class technical staff and performers: DARPA seeks great talents and ideas from industry, universities, government laboratories, and individuals, mixing disciplines and theoretical and experimental strength. DARPA neither owns nor operates any laboratories or facilities, and the overwhelming majority of the research it sponsors is done in industry and universities. Very little of DARPA’s research is performed at government labs.
  • Teams and networks: At its very best, DARPA creates and sustains great teams of researchers from different disciplines that collaborate and share in the teams’ advances.
  • Hiring continuity and change: DARPA’s technical staff is hired or assigned for four to six years. All key staff i.e. Office Directors and Program Managers are rotated to ensure constant infusion of fresh thinking and perspectives.
  • Project-based assignments organized around a challenge model: DARPA organizes a significant part of its portfolio around specific technology challenges. It foresees innovation-based capabilities and then works back to the fundamental breakthroughs required to make them possible. Although individual projects typically last three to five years, major technological challenges may be addressed over longer time periods, ensuring patient investment on a series of focused steps and keeping teams together for ongoing collaboration.
  • Outsourced support personnel: DARPA extensively leverages technical, contracting, and administrative services from other DoD agencies and branches of the military. This provides DARPA the flexibility to get into and out of an area without the burden of sustaining staff, while building cooperative alliances with its “agents.” These outside agents help create a constituency in their respective organizations for adopting the technology.
  • Outstanding program managers: The best DARPA program managers have always been freewheeling zealots in pursuit of their goals. The Director’s most important task is to recruit and hire very creative people with big ideas, and empower them.
  • Acceptance of failure: DARPA pursues breakthrough opportunities and is very tolerant of technical failure if the payoff from success will be great enough.
  • Orientation to revolutionary breakthroughs in a connected approach: DARPA historically has focused not on incremental but radical innovation. It emphasizes high-risk investment, moves from fundamental technological advances to prototyping, and then hands off the system development and production to the military services or the commercial sector.
  • Mix of connected collaborators: DARPA typically builds strong teams and networks of collaborators, bringing in a range of technical expertise and applicable disciplines, and involving university researchers and technology firms that are often not significant defense contractors or beltway consultants.

Current program offices

DARPA has seven program offices, all of which report to the DARPA director:
  • The Defense Sciences Office (DSO) vigorously pursues the most promising technologies within a broad spectrum of the science and engineering research communities and develops those technologies into important, radically new military capabilities.[15]
  • The Microsystems Technology Office (MTO) mission focuses on the heterogeneous microchip-scale integration of electronics, photonics, and microelectromechanical systems (MEMS). Their high risk/high payoff technology is aimed at solving the national level problems of protection from biological, chemical and information attack and to provide operational dominance for mobile distributed command and control, combined manned/unmanned warfare, and dynamic, adaptive military planning and execution.
  • The Biological Technologies Office (BTO) fosters, demonstrates, and transitions breakthrough fundamental research, discoveries, and applications that integrate biology, engineering, and computer science for national security. Created in April 2014 by DARPA director Aratir Prabhakar, taking programs from the MTO and DSO divisions.[19]

Former offices

  • Information Awareness Office: 2002–2003
  • The Advanced Technology Office (ATO) researched, demonstrated, and developed high payoff projects in maritime, communications, special operations, command and control, and information assurance and survivability mission areas.[citation needed]
  • The Special Projects Office (SPO) researched, developed, demonstrated, and transitioned technologies focused on addressing present and emerging national challenges. SPO investments ranged from the development of enabling technologies to the demonstration of large prototype systems. SPO developed technologies to counter the emerging threat of underground facilities used for purposes ranging from command-and-control, to weapons storage and staging, to the manufacture of weapons of mass destruction. SPO developed significantly more cost-effective ways to counter proliferated, inexpensive cruise missiles, UAVs, and other platforms used for weapon delivery, jamming, and surveillance. SPO invested in novel space technologies across the spectrum of space control applications including rapid access, space situational awareness, counterspace, and persistent tactical grade sensing approaches including extremely large space apertures and structures.
  • The Information Systems Office (ISO) in the 1990s developed system applications of advanced information technologies. It was a predecessor to the Information Exploitation Office.[citation needed]
A 1991 reorganization created several offices which existed throughout the early 1990s:[20]
  • The Electronic Systems Technology Office combined areas of the Defense Sciences Office and the Defense Manufacturing Office. This new office will focus on the boundary between general-purpose computers and the physical world, such as sensors, displays and the first few layers of specialized signal-processing that couple these modules to standard computer interfaces.
  • The Computing Systems Technology Office combined functions of the old Information Sciences and Tactical Technology office. The office "will work scalable parallel and distributed heterogeneous computing systems technologies," DoD said.[citation needed]
  • The Software and Intelligent Systems Technology Office and the Computing Systems office will have responsibility associated with the Presidential High-Performance Computing Initiative. The Software office will also be responsible for "software systems technology, machine intelligence and software engineering."
  • The Land Systems Office was created to develop advanced land vehicle and anti-armor systems, once the domain of the Tactical Technology Office
  • The Undersea Warfare Office combined areas of the Advanced Vehicle Systems and Tactical Technology offices to develop and demonstrate submarine stealth and counterstealth and automation.
Reorganization in 2010 merged two offices:
  • The Transformational Convergence Technology Office (TCTO) mission was to advance new crosscutting capabilities derived from a broad range of emerging technological and social trends, particularly in areas related to computing and computing-reliant subareas of the life sciences, social sciences, manufacturing, and commerce. The TCTO was folded into the I2O in 2010.[16]
  • The Information Processing Techniques Office (IPTO) focused on inventing the networking, computing, and software technologies vital to ensuring DOD military superiority. The IPTO was combined with TCTO in 2010 to form the I2O.[citation needed]

Notable fiction

ARPA/DARPA is well known as a high-tech government agency, and as such has many appearances in popular fiction. Some realistic references to ARPA in fiction are in Tom Swift and the Visitor from Planet X (DARPA consults on a technical threat),[42] in episodes of television program The West Wing (the ARPA-DARPA distinction), the television program Numb3rs[43] (DARPA research into creating the first self-aware computer), and in the motion picture Executive Decision (use of a one-of-a-kind experimental prototype in an emergency). It is also in the movie Chain Reaction, starring Keanu Reeves and Morgan Freeman.[citation needed]
Other references often attribute to DARPA an operational or political role, in addition to its high-tech responsibilities. Examples are the Matthew Reilly books Temple and Hell Island, the James Rollins Sigma Force book series, and the video game series Metal Gear Solid, as well as the video games Infamous, Vanquish, and Tom Clancy's Splinter Cell: Conviction. DARPA also appears in three novels by Andy McDermott, The Search for Excalibur, The Covenant of Genesis and The Empire of Gold.[citation needed] The institution Dharma Initiative in the series Lost bear a resemblance to DARPA more than in the name.

See also

General

Sister organizations

International equivalents

Monday, April 21, 2014

Rise of the robots: Humans will compete with droids for jobs by 2040, study claims

http://www.dailymail.co.uk/
  • Plastic surgeons will be able to offer additional brain processing power
  • Study claims we will have bionic implants to perform as fast as machines
  • The current 37.4 hour working week will increase by a third to 50.5 hours
  •  We will have less sex in a lifetime as a result of reduced human interaction
In less than 30 years, we may also be requesting bionic implants for our hands that will make us able to perform tasks as fast as any machine
In less than 30 years, we may also be requesting bionic implants for our hands that will make us able to perform tasks as fast as any machine

By 2040, cabs will be driven by Google robots, shops will become showrooms for online outlets and call centres will be staffed by intelligent droids.
That’s the scenario depicted in recent research which suggests robots could be taking over our lives and jobs in less than 30 years.
The competition for work caused by a rise in the robots population will see us heading to surgeons for ‘additional processing power for our brains’, they claim.
We may also be requesting bionic implants for our hands that will make us able to perform tasks as fast as any machine.
Futurologists, commissioned by global job search website xpatjobs.com, say workers will have less job security and will work more unsociable hours.
Those who take these risks and innovate with their own bodies will be the biggest earners in 2040, they claim.
However, the study added that workers may be left with poor eyesight, smaller sexual organs, and constantly-furrowed brows as they struggle to keep up to life in the 21st century.
Experts expect the current 37.4 hour working week to increase by a third to 50.5 hours.
And it means people will be so busy working, we will only find time for sex twice a month - down from the current five.
Scroll down for video
By 2040 call centres will be staffed by intelligent robots, Google Maps will guide your unmanned mini-cab and most shops will merely be showrooms for online outlets
By 2040 call centres will be staffed by intelligent robots, Google Maps will guide your unmanned mini-cab and most shops will merely be showrooms for online outlets

10 CHARACTERISTS OF A TYPICAL MALE WORKER IN 2040

Red eyes from working all hours. The main hours of work will conform to U.S., China and India.
Weaker eyes from staring at close-up wearable devices, although the lenses we wear will be able to adjust for this.
A smaller penis as a result of fewer sexual partners over a lifetime as human interaction reduces. 
A bigger brain with software and memory updates made possible
Larger stomach and backside due to lack of exercise, eating more at home and less movement
A furrowed brow as a result of constant feedback and assessment out of working hours causing more stress
Ambidextrous hands caused by completing various tasks across devices 
Languages skills in business Mandarin, Hindi, Spanish and Portuguese to keep up with emerging economies and global working
Implanted ear wear to eliminate cumbersome Bluetooth headsets and smartphones
Smart fingers with chips that aid work or implement security protocols
Bionic implants to improve stamina, performance or thinking power.
The gloomy study predicts we will work several ‘micro jobs’ from a desk in our bedroom, and across different time zones.
That would spell the end of the commute, drinks after work with colleagues, the office Christmas party, and the excuse ‘I'm just working late, dear’.
Futurologists believe many of us will become ‘jack-of-all-trades’, working across multiple timezones - reflecting the growing dominance of China.
A worker may take care of customer service for a New York employer, chase accounts for a Singapore-based boss and come up with marketing ideas for a brand in Delhi.
The job listings in 2040 will contain roles unrecognisable today as technology develops at an even faster pace, the study claims.
Rhys Maddocks, director of XPat Jobs, said: ‘People will be surprised how fast things will change.
‘Technology and computers have only really touched the work market so far.
‘That and the globalisation of all work will revolutionise the way we think of work in the next 25 years.
‘But that is not to say work will simply go away.
‘There will always be entrepreneurial thinking that sees a use of real human interaction and jobs that require ideas, complex problem-solving and the caring touch can't be partly of wholly replaced by machines.’
Looking at shifts they are already seeing in the labour market, XPat Jobs have come up with the careers today's children should be looking to study for if they want a job in 25 years.
Enlarge  
The future: The study predicts that by 2050 a typical male worker, aged 35, will have red eyes, a smaller penis, a larger brain, advanced language skills and bioimplants to improve their performance
The future: The study predicts that by 2050 a typical male worker, aged 35, will have red eyes, a smaller penis, a larger brain, advanced language skills and bioimplants to improve their performance
The competition for work caused by a rise in robots will see us heading to today's equivalent of plastic surgeons for 'additional processing power for our brains', researchers claim
The competition for work caused by a rise in robots will see us heading to today's equivalent of plastic surgeons for 'additional processing power for our brains', researchers claim

Web security, software, robotics and even human surgical enhancement will all be key areas.
Caring for an ageing population will be a growth area and builders will not be out of work either, as an ever-growing population will need housing.
Derek Woodgate, from global futures-based consultancy The Futures Lab, said: ‘The main influences on the future of work will be technological, but these innovations will change the kind of work we do and how we interact.

‘Workplaces will become smaller and more flexible as we work collaboratively across the world - often from home - on-screen or even holographically.
The amount of sex Brits have will halve by 2040 as the average working week soars above 50 hours for the first time since World War One
The amount of sex Brits have will halve by 2040 as the average working week soars above 50 hours for the first time since World War One

‘Smarter software and hardware such as wearable devices are already changing the way we communicate and this will continue to develop rapidly.
‘But it will also alter the way robots or artificial intelligences interact with us, as call centre workers are replaced by machines that can learn and question.
‘Humans may even feel the need to compete against such artificial intelligences for jobs, as genetic or android technology develops to the extent we can self-improve in the same way as a software upgrade.’

Friday, April 18, 2014

Why There Will Be A Robot Uprising


In the movie Transcendence, which opens in theaters on Friday, a sentient computer program embarks on a relentless quest for power, nearly destroying humanity in the process.
The film is science fiction but a computer scientist and entrepreneur Steven Omohundro says that “anti-social” artificial intelligence in the future is not only possible, but probable, unless we start designing AI systems very differently today.
Omohundro’s most recent recent paper, published in the Journal of Experimental & Theoretical Artificial Intelligence, lays out the case.
We think of artificial intelligence programs as somewhat humanlike. In fact, computer systems perceive the world through a narrow lens, the job they were designed to perform.
Microsoft Excel understands the world in terms of numbers entered into cells and rows; autonomous drone pilot systems perceive reality as a bunch calculations and actions that must be performed for the machine to stay in the air and to keep on target. Computer programs think of every decision in terms of how the outcome will help them do more of whatever they are supposed to do. It’s a cost vs. benefit calculation that happens all the time. Economists call it a utility function, but Omohundro says it’s not that different from the sort of math problem going in the human brain whenever we think about how to get more of what we want at the least amount of cost and risk.
For the most part, we want machines to operate exactly this way.  The problem, by Omohundro’s logic, is that we can’t appreciate the obsessive devotion of a computer program to the thing it’s programed to do.
Put simply, robots are utility function junkies.
Even the smallest input that indicates that they’re performing their primary function better, faster, and at greater scale is enough to prompt them to keep doing more of that regardless of virtually every other consideration. That’s fine when you are talking about a simple program like Excel but becomes a problem when AI entities capable of rudimentary logic take over weapons, utilities or other dangerous or valuable assets.
In such situations, better performance will bring more resources and power to fulfill that primary function more fully, faster, and at greater scale. More importantly, these systems don’t worry about costs in terms of relationships, discomfort to others, etc., unless those costs present clear barriers to more primary function. This sort of computer behavior is anti-social, not fully logical, but not entirely illogical either.
Omohundro calls this approximate rationality and argues that it’s a faulty notion of design at the core of much contemporary AI development.
“We show that these systems are likely to behave in anti-social and harmful ways unless they are very carefully designed. Designers will be motivated to create systems that act approximately rationally and rational systems exhibit universal drives towards self-protection, resource acquisition, replication and efficiency. The current computing infrastructure would be vulnerable to unconstrained systems with these drives,” he writes.
The math that explains why that is Omohundro calls the formula for optimal rational decision making. It speaks to the way that any rational being will make decisions in order to maximize rewards and lowest possible cost. It looks like this:
In the above model, A is an action and S is a stimulus that results from that action. In the case of utility function, action and stimulus form a sort of feedback loop. Actions that produce stimuli consistent with fulfilling the program’s primary goal will result in more of that sort of behavior. That will include gaining more resources to do it.
For a sufficiently complex or empowered system, that decision-making would include not allowing itself to be turned off, take, for example, a robot with the primary goal of playing chess.
“When roboticists are asked by nervous onlookers about safety, a common answer is ‘We can always unplug it!’ But imagine this outcome from the chess robot’s point of view,” writes Omohundro. “A future in which it is unplugged is a future in which it cannot play or win any games of chess. This has very low utility and so expected utility maximisation will cause the creation of the instrumental subgoal of preventing itself from being unplugged. If the system believes the roboticist will persist in trying to unplug it, it will be motivated to develop the subgoal of permanently stopping the roboticist,” he writes.
In other words, the more logical the robot, the more likely it is to fight you to the death.
The problem of an artificial intelligence relentlessly pursuing its own goals to the obvious exclusion of every human consideration is sometimes called runaway AI.
The best solution, he says, is to slow down in our building and designing of AI systems, take a layered approach, similar to the way that ancient builders used wood scaffolds to support arches under construction and only remove the scaffold when the arch is complete.
That approach is not characteristic of the one we are taking today, putting more and more resources and responsibility under the control of increasingly autonomous systems. That’s especially true of the U.S. military, which is looking to deploy larger numbers of lethal autonomous systems, or L.A.Rs into more contested environments. Without better safeguards to prevent these sorts of systems from, one day, acting rationally, we are going to have an increasingly difficult time turning them off.
(Image via Mike Heywood/Shutterstock)

Saturday, March 8, 2014

Humanoid robot

From Wikipedia, the free encyclopedia

A humanoid robot is a robot with its body shape built to resemble that of the human body. A humanoid design might be for functional purposes, such as interacting with human tools and environments, for experimental purposes, such as the study of bipedal locomotion, or for other purposes. In general, humanoid robots have a torso, a head, two arms, and two legs, though some forms of humanoid robots may model only part of the body, for example, from the waist up. Some humanoid robots may also have heads designed to replicate human facial features such as eyes and mouths. Androids are humanoid robots built to aesthetically resemble humans.

Purpose

TOPIO, a humanoid robot, played ping pong at Tokyo International Robot Exhibition (IREX) 2009.[1][2]
Nao is a robot created for companionship. It also competes in the RoboCup soccer championship.
Enon was created to be a personal assistant. It is self-guiding and has limited speech recognition and synthesis. It can also carry things.
 
Humanoid robots are used as a research tool in several scientific areas.
Researchers need to understand the human body structure and behavior (biomechanics) to build and study humanoid robots. On the other side, the attempt to the simulation of the human body leads to a better understanding of it.
Human cognition is a field of study which is focused on how humans learn from sensory information in order to acquire perceptual and motor skills. This knowledge is used to develop computational models of human behavior and it has been improving over time.
It has been suggested that very advanced robotics will facilitate the enhancement of ordinary humans. See transhumanism.
Although the initial aim of humanoid research was to build better orthosis and prosthesis for human beings, knowledge has been transferred between both disciplines. A few examples are: powered leg prosthesis for neuromuscularly impaired, ankle-foot orthosis, biological realistic leg prosthesis and forearm prosthesis.
Besides the research, humanoid robots are being developed to perform human tasks like personal assistance, where they should be able to assist the sick and elderly, and dirty or dangerous jobs. Regular jobs like being a receptionist or a worker of an automotive manufacturing line are also suitable for humanoids. In essence, since they can use tools and operate equipment and vehicles designed for the human form, humanoids could theoretically perform any task a human being can, so long as they have the proper software. However, the complexity of doing so is deceptively great.
They are becoming increasingly popular for providing entertainment too. For example, Ursula, a female robot, sings, play music, dances, and speaks to her audiences at Universal Studios. Several Disney attractions employ the use of animatrons, robots that look, move, and speak much like human beings, in some of their theme park shows. These animatrons look so realistic that it can be hard to decipher from a distance whether or not they are actually human. Although they have a realistic look, they have no cognition or physical autonomy. Various humanoid robots and their possible applications in daily life are featured in an independent documentary film called Plug & Pray, which was released in 2010.
Humanoid robots, especially with artificial intelligence algorithms, could be useful for future dangerous and/or distant space exploration missions, without having the need to turn back around again and return to Earth once the mission is completed.

Sensors

A sensor is a device that measures some attribute of the world. Being one of the three primitives of robotics (besides planning and control), sensing plays an important role in robotic paradigms.
Sensors can be classified according to the physical process with which they work or according to the type of measurement information that they give as output. In this case, the second approach was used.

Proprioceptive Sensors

Proprioceptive sensors sense the position, the orientation and the speed of the humanoid's body and joints.
In human beings inner ears are used to maintain balance and orientation. Humanoid robots use accelerometers to measure the acceleration, from which velocity can be calculated by integration; tilt sensors to measure inclination; force sensors placed in robot's hands and feet to measure contact force with environment; position sensors, that indicate the actual position of the robot (from which the velocity can be calculated by derivation) or even speed sensors.

Exteroceptive Sensors

An artificial hand holding a lightbulb
 
Arrays of tactels can be used to provide data on what has been touched. The Shadow Hand uses an array of 34 tactels arranged beneath its polyurethane skin on each finger tip.[3] Tactile sensors also provide information about forces and torques transferred between the robot and other objects.
Vision refers to processing data from any modality which uses the electromagnetic spectrum to produce an image. In humanoid robots it is used to recognize objects and determine their properties. Vision sensors work most similarly to the eyes of human beings. Most humanoid robots use CCD cameras as vision sensors.
Sound sensors allow humanoid robots to hear speech and environmental sounds, and perform as the ears of the human being. Microphones are usually used for this task.

Actuators

Actuators are the motors responsible for motion in the robot.
Humanoid robots are constructed in such a way that they mimic the human body, so they use actuators that perform like muscles and joints, though with a different structure. To achieve the same effect as human motion, humanoid robots use mainly rotary actuators. They can be either electric, pneumatic, hydraulic, piezoelectric or ultrasonic.
Hydraulic and electric actuators have a very rigid behavior and can only be made to act in a compliant manner through the use of relatively complex feedback control strategies . While electric coreless motor actuators are better suited for high speed and low load applications, hydraulic ones operate well at low speed and high load applications.
Piezoelectric actuators generate a small movement with a high force capability when voltage is applied. They can be used for ultra-precise positioning and for generating and handling high forces or pressures in static or dynamic situations.
Ultrasonic actuators are designed to produce movements in a micrometer order at ultrasonic frequencies (over 20 kHz). They are useful for controlling vibration, positioning applications and quick switching.
Pneumatic actuators operate on the basis of gas compressibility. As they are inflated, they expand along the axis, and as they deflate, they contract. If one end is fixed, the other will move in a linear trajectory. These actuators are intended for low speed and low/medium load applications. Between pneumatic actuators there are: cylinders, bellows, pneumatic engines, pneumatic stepper motors and pneumatic artificial muscles.

Planning and control

In planning and control, the essential difference between humanoids and other kinds of robots (like industrial ones) is that the movement of the robot has to be human-like, using legged locomotion, especially biped gait. The ideal planning for humanoid movements during normal walking should result in minimum energy consumption, like it does in the human body. For this reason, studies on dynamics and control of these kinds of structures become more and more important.
To maintain dynamic balance during the walk, a robot needs information about contact force and its current and desired motion. The solution to this problem relies on a major concept, the Zero Moment Point (ZMP).
Another characteristic of humanoid robots is that they move, gather information (using sensors) on the "real world" and interact with it. They don’t stay still like factory manipulators and other robots that work in highly structured environments. To allow humanoids to move in complex environments, planning and control must focus on self-collision detection, path planning and obstacle avoidance.
Humanoids don't yet have some features of the human body. They include structures with variable flexibility, which provide safety (to the robot itself and to the people), and redundancy of movements, i.e. more degrees of freedom and therefore wide task availability. Although these characteristics are desirable to humanoid robots, they will bring more complexity and new problems to planning and control.

Timeline of developments

Year Development
c. 250 BC The Lie Zi described an automaton.[4]
c. 50 AD Greek mathematician Hero of Alexandria described a machine to automatically pour wine for party guests.[5]
1206 Al-Jazari described a band made up of humanoid automata which, according to Charles B. Fowler, performed "more than fifty facial and body actions during each musical selection."[6] Al-Jazari also created hand washing automata with automatic humanoid servants,[7][verification needed] and an elephant clock incorporating an automatic humanoid mahout striking a cymbal on the half-hour.[citation needed] His programmable "castle clock" also featured five musician automata which automatically played music when moved by levers operated by a hidden camshaft attached to a water wheel.[8]
1495 Leonardo da Vinci designs a humanoid automaton that looks like an armored knight, known as Leonardo's robot.[9]
1738 Jacques de Vaucanson builds The Flute Player, a life-size figure of a shepherd that could play twelve songs on the flute and The Tambourine Player that played a flute and a drum or tambourine.[10]
1774 Pierre Jacquet-Droz and his son Henri-Louis created the Draughtsman, the Musicienne and the Writer, a figure of a boy that could write messages up to 40 characters long.[11]
1898 Nikola Tesla publicly demonstrates his "automaton" technology by wirelessly controlling a model boat at the Electrical Exposition held at Madison Square Garden in New York City during the height of the Spanish-American War.
1921 Czech writer Karel Čapek introduced the word "robot" in his play R.U.R. (Rossum's Universal Robots). The word "robot" comes from the word "robota", meaning, in Czech and Polish, "forced labour, drudgery".[9]
1927 The Maschinenmensch (“machine-human”), a gynoid humanoid robot, also called "Parody", "Futura", "Robotrix", or the "Maria impersonator" (played by German actress Brigitte Helm), perhaps the most memorable humanoid robot ever to appear on film, is depicted in Fritz Lang's film Metropolis.
1941-42 Isaac Asimov formulates the Three Laws of Robotics, and in the process of doing so, coins the word "robotics".
1948 Norbert Wiener formulates the principles of cybernetics, the basis of practical robotics.
1961 The first digitally operated and programmable non-humanoid robot, the Unimate, is installed on a General Motors assembly line to lift hot pieces of metal from a die casting machine and stack them. It was created by George Devol and constructed by Unimation, the first robot manufacturing company.
1969 D.E. Whitney publishes his article "Resolved motion rate control of manipulators and human prosthesis".[12]
1970 Miomir Vukobratović has proposed Zero Moment Point, a theoretical model to explain biped locomotion.[13]
1972 Miomir Vukobratović and his associates at Mihajlo Pupin Institute build the first active anthropomorphic exoskeleton.
1973 In Waseda University, in Tokyo, Wabot-1 is built. It was able to walk, to communicate with a person in Japanese and to measure distances and directions to the objects using external receptors, artificial ears and eyes, and an artificial mouth.[14]
1980 Marc Raibert established the MIT Leg Lab, which is dedicated to studying legged locomotion and building dynamic legged robots.[15]
1983 Using MB Associates arms, "Greenman" was developed by Space and Naval Warfare Systems Center, San Diego. It had an exoskeletal master controller with kinematic equivalency and spatial correspondence of the torso, arms, and head. Its vision system consisted of two 525-line video cameras each having a 35-degree field of view and video camera eyepiece monitors mounted in an aviator's helmet.[16]
1984 At Waseda University, the Wabot-2 is created, a musician humanoid robot able to communicate with a person, read a normal musical score with his eyes and play tunes of average difficulty on an electronic organ.[14]
1985 Developed by Hitachi Ltd, WHL-11 is a biped robot capable of static walking on a flat surface at 13 seconds per step and it can also turn.[14]
1985 WASUBOT is another musician robot from Waseda University. It performed a concerto with the NHK Symphony Orchestra at the opening ceremony of the International Science and Technology Exposition.
1986 Honda developed seven biped robots which were designated E0 (Experimental Model 0) through E6. E0 was in 1986, E1 – E3 were done between 1987 and 1991, and E4 - E6 were done between 1991 and 1993.[17]
1989 Manny was a full-scale anthropomorphic robot with 42 degrees of freedom developed at Battelle's Pacific Northwest Laboratories in Richland, Washington, for the US Army's Dugway Proving Ground in Utah. It could not walk on its own but it could crawl, and had an artificial respiratory system to simulate breathing and sweating.[14]
1990 Tad McGeer showed that a biped mechanical structure with knees could walk passively down a sloping surface.[18]
1993 Honda developed P1 (Prototype Model 1) through P3, an evolution from E series, with upper limbs. Developed until 1997.[17]
1995 Hadaly was developed in Waseda University to study human-robot communication and has three subsystems: a head-eye subsystem, a voice control system for listening and speaking in Japanese, and a motion-control subsystem to use the arms to point toward campus destinations.
1995 Wabian is a human-size biped walking robot from Waseda University.
1996 Saika, a light-weight, human-size and low-cost humanoid robot, was developed at Tokyo University. Saika has a two-DOF neck, dual five-DOF upper arms, a torso and a head. Several types of hands and forearms are under development also. Developed until 1998.[14]
1997 Hadaly-2, developed at Waseda University, is a humanoid robot which realizes interactive communication with humans. It communicates not only informationally, but also physically.
2000 Honda creates its 11th bipedal humanoid robot, able to run, ASIMO.[17]
2001 Sony unveils small humanoid entertainment robots, dubbed Sony Dream Robot (SDR). Renamed Qrio in 2003.
2001 Fujitsu realized its first commercial humanoid robot named HOAP-1. Its successors HOAP-2 and HOAP-3 were announced in 2003 and 2005, respectively. HOAP is designed for a broad range of applications for R&D of robot technologies.[19]
2002 HRP-2, biped walking robot built by the Manufacturing Science and Technology Center (MSTC) in Tokyo.[20]
2003 JOHNNIE, an autonomous biped walking robot built at the Technical University of Munich. The main objective was to realize an anthropomorphic walking machine with a human-like, dynamically stable gait [21]
2003 Actroid, a robot with realistic silicone "skin" developed by Osaka University in conjunction with Kokoro Company Ltd.[22]
2004 Persia, Iran's first humanoid robot, was developed using realistic simulation by researchers of Isfahan University of Technology in conjunction with ISTT.[23]
2004 KHR-1, a programmable bipedal humanoid robot introduced in June 2004 by a Japanese company Kondo Kagaku.
2005 The PKD Android, a conversational humanoid robot made in the likeness of science fiction novelist Philip K Dick, was developed as a collaboration between Hanson Robotics, the FedEx Institute of Technology, and the University of Memphis.[24]
2005 Wakamaru, a Japanese domestic robot made by Mitsubishi Heavy Industries, primarily intended to provide companionship to elderly and disabled people.[25]
2005 Nao is a small open source programmable humanoid robot developed by Aldebaran Robotics, in France. Widely used by world wide universities as a research platform and educational tool.[26]
2005 The Geminoid series is a series of ultra-realistic humanoid robots or Actroid developed by Hiroshi Ishiguro of ATR and Kokoro in Tokyo. The original one, Geminoid HI-1 was made at its image. Followed Geminoid-F in 2010 and Geminoid-DK in 2011.[26]
2006 RoboTurk is designed and realized by Dr Davut Akdas and Dr Sabri Bicakci at Balikesir University. This Research Project Sponsored By The Scientific And Technological Research Council Of Turkey (TUBITAK) in 2006. RoboTurk is successor of biped robots named "Salford Lady" and "Gonzalez" at university of Salford in the UK. It is the first humanoid robot supported by Turkish Government.[27]
2006 REEM-A, a biped humanoid robot designed to play chess with the Hydra Chess engine. The first robot developed by PAL Robotics, it was also used as a walking, manipulation speech and vision development platform.[28]
2006 iCub, a biped humanoid open source robot for cognition research.[29]
2006 Mahru, a network-based biped humanoid robot developed in South Korea.[30]
2007 TOPIO, a ping pong playing robot developed by TOSY Robotics JSC.[31]
2007 Twendy-One, a robot developed by the WASEDA University Sugano Laboratory for home assistance services. It is not biped, as it uses an omni-directional mobile mechanism.[32]
2008 Justin, a humanoid robot developed by the German Aerospace Center (DLR).[33]
2008 KT-X, the first international humanoid robot developed as a collaboration between the five-time consecutive RoboCup champions, Team Osaka, and KumoTek Robotics.[34]
2008 Nexi, the first mobile, dexterous and social robot, makes its public debut as one of TIME magazine's top inventions of the year.[35] The robot was built through a collaboration between the MIT Media Lab Personal Robots Group,[36] UMass Amherst and Meka robotics.[37][38]
2008 Salvius (robot), The first open source humanoid robot built in the United States is created.
2008 REEM-B, the second biped humanoid robot developed by PAL Robotics. It has the ability to autonomously learn its environment using various sensors and carry 20% of its own weight.[39]
2009 HRP-4C, a Japanese domestic robot made by National Institute of Advanced Industrial Science and Technology, shows human characteristics in addition to bipedal walking.
2009 Turkey's first dynamically walking humanoid robot, SURALP, is developed by Sabanci University in conjunction with Tubitak.[40]
2009 Kobian, an robot developed by WASEDA University can walk, talk and mimic emotions.[41]
2010 NASA and General Motors revealed Robonaut 2, a very advanced humanoid robot. It was part of the payload of Shuttle Discovery on the successful launch February 24, 2011. It is intended to do spacewalks for NASA.[42]
2010 Students at the University of Tehran, Iran unveil the Surena II. It was unveiled by President Mahmoud Ahmadinejad.[43]
2010 Researchers at Japan's National Institute of Advanced Industrial Science and Technology demonstrate their humanoid robot HRP-4C singing and dancing along with human dancers.[44]
2010 In September the National Institute of Advanced Industrial Science and Technology also demonstrates the humanoid robot HRP-4. The HRP-4 resembles the HRP-4C in some regards but is called "athletic" and is not a gynoid.
2010 REEM, a humanoid service robot with a wheeled mobile base. Developed by PAL Robotics, it can perform autonomous navigation in various surroundings and has voice and face recognition capabilities.[45]
2011 In November Honda unveiled its second generation Honda Asimo Robot. The all new Asimo is the first version of the robot with semi-autonomous capabilities.
2012 In April, the Advanced Robotics Department in Italian Institute of Technology released its first version of the COmpliant huMANoid robot COMAN which is designed for robust dynamic walking and balancing in rough terrain.[46]
2013 In December 20-21, 2013 DARPA Robotics Challenge ranked the top 16 humanoid robots competing for the $2 million cash prize. The leading team, SCHAFT, with 27 out of a possible score of 30 was bought by Google.[47] PAL Robotics launches REEM-C the first humanoid biped robot developed as a robotics research platform 100% ROS based.