when on November 1st in 2008 a mysterious paper appeared on an obscure cryptography listserv describing details for a new digital currency called bitcoin.
to 3d printing of parts and objects, to next generation food printers. These aren t the artificial food devices that science fiction movies have been promising.
or via tiny sensors built into their eyewear, clothes, watch, ring or bracelet. Full immersion video gaming is a hit pastime.
and robots cultivate fruit and vegetables for home and overseas markets. In a world where technology has replaced people in many roles,
Effective language technologies (natural language processing, speech recognition and speech synthesis) are in common use. According to Android vice president Hugo Barra, these were near-perfect for some languages in 2013.
and from Google glass. Innovega led the early work here, eventually collaborating with a number of Qatari start-ups.
The search engine giant wanted them on the roads by 2020 but safety experts warned as early as 2012 that the failure of governments to agree on objective performance standards would delay their arrival significantly.
altering the economy as products (from micro-batteries to phones and medical implants) can be produced for a fraction of their traditional manufacture costs.
With the national obesity and diabetes epidemics of the 2010s a distant memory, fastfood chains are a thing of the past.
It s surmounted by a spinning laser turret and knobbed with cameras, radar, antennas, and G. P. S. It looks a little like an ice-cream truck, lightly weaponized for inner-city work.
recording their maneuvers in his car s sensor logs, analyzing traffic flow, and flagging any problems for future review.
#oei m a robot.##What separates Levandowski from the nerds I knew is this: his wacky ideas tend to come true.#
As a sophomore, he won a national robotics competition with a machine made out of Legos that could sort Monopoly money#fair analogy for what he s been doing for Google lately.
It ends with robots harvesting our bodies for energy.##Levandowski understands the sentiment. He just has more faith in robots than most of us do.#
#oepeople think that we re going to pry the steering wheel from their cold, dead hands, #he told me,
but driverless cars still putter along in prototype. Human beings, as it turns out, aren t easy to improve upon.
and sensors were ready for us.##Almost from the beginning, the field divided into two rival camps:
They needed sensors to guide them, computers to steer them, digital maps to follow. In the nineteen-eighties, a German engineer named Ernst Dickmanns, at the Bundeswehr University in Munich, equipped a Mercedes van with video cameras and processors,
#the roboticist Sebastian Thrun told me.##oethe sensors weren t there, the computers weren t there,
and the mapping wasn t there. Radar was a device on a hilltop that cost two hundred million dollars.
It wasn t something you could buy at Radio shack.##Thrun, who is forty-six, is the founder of the Google Car project.
he took a job at the country s leading center for driverless car research: Carnegie mellon University.
He went on to build robots that explored mines In virginia, guided visitors through the Smithsonian,
What he didn t build was driverless cars. Funding for private research in the field had dried up by then.
His favorite example is from a robotics contest at M. I t. in 1991. Tasked with building a machine that could shoot the most Ping-pong balls into a tube,
Charlie, this is robotics. Nothing actually works.##Finally, a year into the project, a Russian engineer named Alex Krasnov cracked the code.
Its robotic Humvee, Sandstorm, drove just seven and a half miles before careering off course. A helicopter later found it beached on an embankment,
the robots just weren t smart enough. In the wrong light, they couldn t tell a bush from a boulder, a shadow from a solid object.
a roboticist at Carnegie mellon, had hit upon an unusually efficient way to do this: he let his car teach itself.
Pomerleau equipped the computer in his minivan with artificial neural networks, modelled on those in the brain.
Machine learning is an idea nearly as old as computer science#lan Turing, one of the fathers of the field, considered it the essence of artificial intelligence.
and refine than machine learning. The trick, as in any educational system, is to combine the two in proper measure.
The C. M. U. team was led by the legendary roboticist William (Red) Whittaker. Pomerleau had left the university by then to start his own firm.
His robots had crawled over Antarctic ice fields and active volcanoes, and inspected the damaged nuclear reactors at Three Mile Island and Chernobyl.
Both teams used similar sensors and software, but Thrun and Montemerlo concentrated more heavily on machine learning.#
#oeit was our secret weapon, #Thrun told me. Rather than program the car with models of the rocks
putting something together that had never been done in robotics before, and some were insanely impressive.#
The driverless car project occupies a lofty, garagelike space in suburban Mountain view. It s part of a sprawling campus built by Silicon graphics in the early nineties and repurposed by Google, the conquering army, a decade later.
dulled somewhat by his Google glass eyewear. At one point, he asked if I d like to try the glasses on.
despite his victory in the second Grand Challenge, didn t think that driverless cars could work on surface streets#here were just too many variables.#
#And a few yards away in the laboratory, robotic arms mix together some compounds to produce the desired cells.
He has a chauffeur and it s a robot. Levandowski backs out of his suburban driveway in the usual manner.
it has used its GPS and other sensors to determine its location in the world. On the dashboard
right in front of the windshield, is a low-profile heads-up display. manual, it reads, in sober sans serif font, white on black.
The graphics are reminiscent of Pong. But the game play? Pure Frogger. There are two buttons on Levandowski s steering wheel, off and on,
Google has a small fleet of driverless cars now plying public roads. They are test vehicles,
The best way to execute that robot-to-human hand-off remains an open question.
#oeit ends with robots harvesting our bodies for energy.##Google is still not saying much to reporters (including this one) about its plans,
and it works on the same principle that radar and sonar do#ut today s most advanced lidar is much more accurate,
Who has control of a driverless car? For the autonomous vehicle that now drives Levandowski to work, the answer (according to Smith) is logical:
Peter Stone, an artificial-intelligence expert at the University of Texas at Austin, thinks that intersecting streams of automated traffic will essentially flow through one another, controlled by a new piece of road infrastructure#he computerized intersection manager.
Both use a combination of radar and computer vision to center the vehicle in the lane
The problem is that even the best radar -and vision-based pedestrian-avoidance systems fail to see the proverbial child running into the road 1 or 2 percent of the time.#
working with low-cost radar and camera components, will never adequately bridge that gap. It s chosen a different technical path,
A small Photo Voltaic solar panel provides power for the micro controller, sensors, various valves, etc.
and is designed to work with PV solar panels and batteries, to continually generate water even in emergency situations.
and weight issues of previous prototypes. 9. Agriculture Robots Agricultural robotics are, somewhat surprisingly, still in their infancy.
Many companies worldwide are attempting to bring various types of robot farmhands to market, but in robotics (where government and academic projects still lead the way) it tends to take longer than in some other,
more commercial industries for such projects to obtain funding, produce a product, and prove its viability.
One Boston company that was able to raise nearly $8 billion in private funds in 2011 has developed a robot that it claims could perform 40 percent of the manual labor currently performed on farms.
A Japanese research company has developed a robot that performs stereo imaging of strawberries to determine their ripeness before picking them,
and MIT has a cherry tomato garden that is managed by a small crew of robots equipped with vision sensors.
the main advantage to robot farm workers is the fact that they can work around the clock and never get tired. 8. Sunscreen Pills An effective sunscreen that can be administered orally has been sought after for some time now.
it could bring about an end to batteries as we know them. 2. Ultra-High Speed Tube Trains Magnetic levitation,
Even before the preliminary design hit the. pdf#which he released open-source, no strings attached-Musk had made clear that the Hyperloop remained#oeextremely speculative.#
and juiced with 3, 400 pounds of batteries. The compressor s job is to blow onrushing air behind the capsule-otherwise,
and 3d printers cranking out spacecraft parts. Then he went toe-to-toe with Musk in a discussion of evacuated-tube transport.
Using a fleet of surveillance drones, equipped with special infrared cameras, fires can be spotted during the earliest moments of a containment window,
signaling a fleet of extinguisher drones to douse the blaze before anything serious happens. Drones specifically designed for extinguishing forest fires have the potential to eliminate virtually 100%of the devastating fires that blanket newspaper headlines every summer.
Naturally there s a downside to eliminating forest fires altogether so how should we proceed? The True Cost of Forest fires In 2012 the U s. Forest Service had a budget of $948 million for fire suppression, a decrease of nearly $500 million from 2011.
the heat plume coming out of the back of the rocket produces a distinct heat signature instantly detectable by satellites tens of thousands of miles away with infrared sensors.
I can only assume today s technology is hundreds of times more precise than anything we were working with back then. 2007 NASA image of forest fires in California The above photo was infrared taken with thermal imaging sensors on NASA s Ikhana unmanned research
They recently purchased a state of the art airborne mapping system that included a Lidar (Light Imaging Detection and Ranging) system with integrated thermal sensors and high-resolution cameras.
Onboard thermal sensors record infrared measurements capable of showing heat loss in buildings and monitoring pipelines.
However, this same technology can be modified to work on flying drones to monitor fire activity on forestlands.
Oil exploration drone used in Norway Aerial drone technology is advancing exponentially and much of
high altitude aircraft, low attitude drones, or some combination of these, monitoring hotspots and instantly determining the danger level is well within our grasp.
Illustration of a fire extinguisher drone Final Thoughts I began this line of thinking looking for a solution to the wildfires we re currently experiencing here in my home state of Colorado.
Admittedly, managing a 24/7-drone fleet over our massively huge forestlands will be no small undertaking.
Surveillance drones will likely be separate from fire-suppression drones. Extinguishing a fire under several layers of tree canopy will also be a challenge.
Operating drones day and night through inclement conditions like wind hail, and rain will require an enormous effort.
Experimental projects are even testing how to dispatch farm drones (crop-spying quadcopters for example) that measure everything from reflectivity to water loss to optimize the efficiency of a farm s operations.#
a relatively straightforward technological innovation#GPS-equipped free-range cows that can be nudged back within virtual bounds by ear-mounted stimulus-delivery devices#has implications that could profoundly reshape our relationships with domesticated animals,
in this case, apportioning) digital information under the influence of the various media technologies#satellite imagery, RFID tags, algorithmic glitches, and so on#through
Our discussion ranged from robotic rats and sheep laterality to the advantages of GPS imprecision and the possibility of high-tech herds bred to suit the topography of particular property.
The edited transcript appears below.#¢#¢#Nicola Twilley: I thought I d start with a really basic question,
A GPS SYSTEM in the device detects when the animal wanders into the 200m-wide virtual boundary band.
So that s the reason why we are using GPS satellites to define the perimeter of the polygon.
or other sensors and sent into earthquake areas or fires or where there were environmental issues that humans really shouldn t be exposed to.
everything we do can be stored in memory, so you can learn about each animal, and modify your stimulus accordingly.
Going back to something you said earlier about animal memory #and this may be too speculative a question to answer
#The other thing is that the consumer-level GPS RECEIVERS I have used in my DVFDEVICES do not have the capability to have the fixes corrected using DGPS,
But I think the variability in that GPS signal could be an advantage for virtual paddocks that spatially
and multimedia narratives to bring to life United states history. Using this technology, users are able to hold up their mobile phones
memory kits for those with Alzheimers; and activity kits and games for Activity Directors, including a Karaoke Machine.
and graphic novels convention for teens#oecombines hands-on workshops, cultural demonstrations, gaming (open play and tournaments),
and LEGO Robotics programs for youth. California alt+library:##oeour programming initiative designed for (but by no means limited to) people in their 20s and 30s.
New york Competitive LEGO robotics team (Fayetteville Free Library, Fayetteville, NY) Mad Men discussion group (Half Hollow Hills Community Library, Dix Hills and Melville
Would it somehow be molded, pressed, 3d printed, or simply sprayed onto a form? The process I ve just described is what I callsituational futuring,
so here are some examples of starting points designed to begin the conversational thread of situational futuring. 1. 3d Ice Printers A 3d printer designed to work exclusively with ice could be used to make ice sculptures, ice containers, ice cubes with your favorite liquor inside
analyses will increasing be made in real-time through sensor networks that pull data over an extended period of time from our skin, organs,
6. Swarmbots Groups of flying drones that move like flocks of birds, schools of fish,
8. Driverless cars How long will it be before we see the first highway in the U s. to be designated as adriverless-cars only highway?
Self-Cleaning House This long-time dream of housewives is finally within reach as smart home technology,
combined with the Internet of things, begins to invade our lives. What are the current missing pieces and
But 3d printing of replacement bodies will likely be a quicker option. How long will it be before someone 3d prints their own replacement body,
Hyper-Individualized Medicine Professor Lee Cronin at the University of Glasgow believes we will soon be using 3d printers to replace traditional pharmaceuticals with hyper-individualized medicines that are printed specifically for the person at the time they ordered them.
Large scale 3d printing In April the Chinese company, Winsun Decoration Design Engineering, created the first 3d printed house.
Crowdsourced Court System If a court system were developed using crowdsourcing to form its jury decisions,
Who are some of todays best-known celebrities that would likely show up as downloadable personalities for your computer, car, or robot?
Robotic Earthworms The most valuable land on the planet will soon be the landfills because that is where we have buried our most valuable natural resources.
In the future, robotic earthworms will be used to silently mine the landfills and replace whatever is extracted with high-grade soil. 43.
#Top 15 emerging agriculture technologies that will change the world Automation will help agriculture via large-scale robotic and microrobots.
Sensors, Food, Automation and Engineering. Sensors help agriculture by enabling real-time traceability and diagnosis of crop, livestock and farm machine states.
Food may benefit directly from genetic tailoring and potentially from producing meat directly in a lab. Automation will help agriculture via large-scale robotic
and microrobots to check and maintain crops at the plant level. Engineering involves technologies that extend the reach of agriculture to new means, new places and new areas of the economy.
Of particular interest will be synthetic biology, which allows efficiently reprogramming unicellular life to make fuels, byproducts accessible from organic chemistry and smart devices.
Sensors Air & soil sensors: Fundamental additions to the automated farm, these sensors would enable a real time understanding of current farm, forest or body of water conditions.
Scientifically viable in 2013; mainstream and financially viable in 2015. Equipment telematics: Allows mechanical devices such as tractors to warn mechanics that a failure is likely to occur soon.
Collars with GPS, RFID and biometrics can automatically identify and relay vital information about the livestock in real time.
Crop sensors: Instead of prescribing field fertilization before application, high-resolution crop sensors inform application equipment of correct amounts needed.
Optical sensors or drones are able to identify crop health across the field (for example, by using infrared light).
Scientifically viable in 2015; mainstream in 2018; and financially viable in 2019. Infrastructural health sensors:
Can be used for monitoring vibrations and material conditions in buildings, bridges, factories, farms and other infrastructure.
Coupled with an intelligent network, such sensors could feed crucial information back to maintenance crews or robots.
Building on existing geolocation technologies, future swath control could save on seed, minerals, fertilizer and herbicides by reducing overlapping inputs.
Agricultural robots: Also known as agbots, these are used to automate agricultural processes, such as harvesting, fruit picking, ploughing,
With satellite imagery and advanced sensors, farmers can optimize returns on inputs while preserving resources at ever larger scales.
Further understanding of crop variability, geolocated weather data and precise sensors should allow improved automated decision-making and complementary planting techniques.
Robotic farm swarms: The hypothetical combination of dozens or hundreds of agricultural robots with thousands of microscopic sensors,
which together would monitor, predict, cultivate and extract crops from the land with practically no human intervention.
Precision Drone Via Business Insider Share Thissubscribedel. icio. usfacebookredditstumbleupontechnorati e
#Post college towns teem with college-educated young adults, jobs Young adults spend leisurely time at Marion Square in Charleston, SC.
Jessica Duggan grew up in this starchy historic city in the 1990#s. She remembers field trips with her mother to the historic Battery neighborhood,
and played retro coin-operated video games. They re in Charleston to live in Charleston says Crowley.
Just as data storage and software development formed some of the Information Economy markets, things like sustainable energy and resource sharing are emerging as Purpose Economy markets.
But perhaps as importantly, he would need to find a solution for the incredibly expensive battery technology needed for the car to work.
Just the battery for an electric car costs more than double the price of an entry-level car in the market.
The battery range is still too short, the price too high, and their charging stations are limited mostly to corridors with high concentrations of early adopters (i e.
and connected to venture funding, a proximity that ultimately increased investment in batteries and renewable energy.
#The future of drones expected to transform agriculture 80%of the commercial market for drones will eventually be for agricultural uses.
Drones are moving quickly from the battlefield to the farmer s field. They are on the verge of helping growers oversee millions of acres throughout rural America and saving them big money in the process.
While much of the attention regarding drones has focused recently on Amazon and UPS seeking to use them to deliver packages,
much of the future for drones is expected to come on the farm. That s because agriculture operations span large distances and are mostly free of privacy
and users of drones and other robotic equipment, predicts that 80%of the commercial market for drones will eventually be for agricultural uses.
the drone industry said it expects more than 100,000 jobs to be created and nearly half a billion in tax revenue to be generated collectively by 2025, much of it from agriculture.
a Denver-based company that sells drones and analyzes the data collected on corn, soybean and other field crops.
Drones which range in cost from $2, 000 for a plane the farmer puts together up to around $160,
sensors and other technology controlled by a pilot on the ground. The sticker shock may be steep
Farmers also can use drones to tailor their use of pesticides, herbicides, fertilizer and other applications based on how much is needed at a specific point in a field a process known as precision agriculture saving the grower money from unnecessarily overusing resources
a corn and soybean farmer in Calhoun County in central Iowa, purchased a drone in 2013 for $30, 000 that is already paying dividends on his 900-acre farm.
While some farmers could join Johnson and buy their own drones, most are expected to hire companies that specialize in this niche market.
has positioned itself to sell drones in much the same way as General motors works with its dealers to peddle cars.
but said the firm is on pace to posttriple-digit growth in both hardware and (drone) sales.
Still, he said for drones to have a meaningful and long-lasting impact in agriculture, they need to be retrofitted with additional devices to collect more information such as thermal sensors to identify early signs of plant stress that can later be parsed,
analyzed and used by farmers. We need to do more than just generate pretty pictures, he said.
drone use has been relegated largely to the military, but law enforcement and other government agencies can apply to the FAA for special permission to use them in civil airspace.
This year alone nearly three dozen states are considering legislation that would place restrictions on drone use and data collection.
Lawmakers say they feel compelled to start working on the issue as a wave of drones are starting to be considered for purposes ranging from finding missing children to delivering pizzas,
and others have protested the way the U s. military uses drones for operations overseas, they concede the technology could be beneficial for some with the proper oversight.
There are good uses for drones, I m not saying there s not, but we need to get a handle on it,
As farmers press ahead using drones, there is some uncertainty over how much flexibility the federal government has given really agriculture to use the aircraft.
Even farm operators and drone companies are divided over how much authority they have been given to fly the aircraft.
Later this year, the FAA is expected to propose rules for drones weighing less than 55 pounds.
Until then, the agency said some operators will continue to incorrectly assume they can operate drones under the guise of existing model aircraft rules
whether a farmer who decides to use his own drone to survey as part of his effort to run his business
The FAA does not allow drones to be used for commercial operations unless they apply for a special exemption.
Government and universities can operate drones as long as they get a waiver and fly them within a specific area.
The Association for Unmanned Vehicle Systems International has been pressing the FAA to allow limited drone use for some operations like farmers
As federal regulators struggle to define how drones can be used for commercial purposes, many countries around the world have loose guidelines for how these devices can be used.
Drones are being used for agriculture in a slew of countries including Canada, Australia, Japan and Brazil.
told farm conference attendees in January that farmers should begin learning how to use drones rather than wait until the FAA acts.
A recent article in The Economist quotes Bill gates as saying at least a dozen job types will be taken over by robots and automation in the next two decades
Super Baby Advocates Commercial Drone Industry The U s. Congress has mandated the FAA develop a plan to incorporate drones into national airspace by Sept. 30,2015.
Drone Classification Gurus Different laws will apply to different classifications of drone vehicles. 41. Drone Standards Specialists 42.
Drone Docking Designers and Engineers 43. Operator Certification Specialists 44. Environmental Minimizers Sound diminution engineers, visual aesthetic reductionists, etc. 45.
Drone Traffic Optmizers 46. Automation Engineers 47. Backlash Minimizers Ever new technology has its detractors
this perhaps more than most. On the path to a trillion sensors Our Trillion-Sensor Future Industry experts are now projecting that we will reach 1 trillion sensors in the world by 2024,
and 100 trillion by 2036.48. Sensor Inventors, Designers, and Engineers 49. Data Stream Organizers 50.
Failure Point Assessors 51. Data transmission Optimizers 52. System Anthropologists 53. Data Actuaries 54. Last Milers People who specialize in bridging the gap between where the data fields end
me action figure 3d printing 3d printing was named recently by Goldman sachs as one of eight technologies destined to creatively destroy how we do business.
3d printing will be bigger than the Internet. 55. Automation Auditors Assessing what parts, processes, and systems can be automated. 56.
3d printed Clothing Fashion designers, Material Specialists, and Stylists 63. Organ Agents 3d printed organs are now being created
and are in hot demand. 64. Manufacturing Process Consultants 65. Maintenance Guys Redefining our relationship withthings Internet of things Seventy-five billion is the number of devices that Morgan stanley has calculated will be connected to the Internet of things by 2020.
That s 9 4 devices for every one of the 8 billion people that will be on earth in only seven years.
Big data Social media, blogs, web browsing, and company s security systems are all generating enormous quantities of data,
Achieving more streamline data storage in the future will require de-duplication specialists who can rid our data centers of needless copies and frivolous clutter. 75.
Backlash Minimizers 3d printed Houses Contour Crafted Houses Many people think of contour crafting as 3d printing for houses,
Driverless Everything Driverless technology will initially require a driver, but it will quickly creep into everyday use
This image will become a distant memory as automated machines, drones, and swarmbots enter the pictures.
Swarmbot and Drone Operators and Managers 135. Plant Educators An intelligent plant will be capable of re-engineering itself to meet the demands of tomorrow s marketplace.
Robotic Earthworm Drivers The most valuable land on the planet will soon be the landfills
In the future, robotic earthworms will be used to silently mine the landfills and replace whatever is extracted with high-grade soil. 147.
Time Hackers If we think cyber terrorists are a pain it will seem like nothing compared to devious jerry-riggers who start manipulating the time fabric of our lives. 150.
Memory Augmentation Therapists Entertainment is all about the great memories it creates. Creating a better grade of memories can dramatically change who we are
the 2010 Makerbot s Thing-O-Matic 3d printer gave birth to desktop manufacturing. Automation is no longer the domain of the elite few
Overtext Web Module V3.0 Alpha
Copyright Semantic-Knowledge, 1994-2011