Amazing Computer Technology of the Near Future


Amazing Computer Technology of the Near Future


Amzing Computer Technology of the Near Future, future technology in computer


Millions of people around the world use them a day. Nearly every company and lots of jobs depend upon it. Cars, iPods, cell phones, cruise ships, satellites, and lots of other gadgets wouldn't work without it. Practically anything electronic that's in use today uses it. Computers have changed the way we live, and, now, most folks wouldn’t know what to try to without them. These electronic computing machines have advanced tons since their beginning within the 1940s. At that point, one computer filled up an area and had a little fraction of the computing power of an iPhone. Yes, computers have come quite far away from their humble origins, but if computers within the future improve as researchers say they're going to, the improvements since the 1940s are going to be nothing in comparison. The developments and ideas for the longer term of technology are really quite amazing. Before we glance at the long term of computers, let’s take a fast glimpse of the past.

In 1938, Konrad Zuse invents the Z1 Computer. This primitive machine is an early binary computer. Unlike later computers, his invention wasn't capable of memory storage. Us military created the ENIAC (Electronic Numerical Integrator and Computer) in 1945 (4). This early computer, like modern computers, could store and save data. A few decades later, in 1970, the primary RAM (random-access memory) chip and therefore the first microprocessor, the Intel 4004, came into existence, replacing vacuum-tube technology (4). A year earlier, the military developed a network that might be the origin of the internet: ARPANET. ARPANET is an acronym for Advanced Research Projects Agency Network. It was a network of computers meant to share the burden of computing in order that one computer, with the assistance of a couple of others within the network, could perform its computations faster (12). It is also thought to be a network for preserving information just in case of a nuclear attack.

Twenty-two years later, in 1991, the planet Wide Web was available to the general public (4). According to James Coates of the Chicago Tribune, during the “Great Holiday Blowout of 1995,…more people bought personal computers than ever in history” (3). During the ‘90s computers became more commonplace and websites multiplied in number.

Since the web boom of the ‘90s, computers ready to access the web have shrunk so small that they will easily slot in a pocket. The iPhone and other smartphones can access the web, snap and save pictures, record videos, and perform most of the functions of a personal computer. The invention of touch-sensitive screens was also a big improvement and was necessary for smartphones. The smart-phone market has seen even the program company, Google, adding their own phone, the Nexus One.

Google’s CEO, Eric Schmidt, has some interesting opinions about the longer term of computing. He believes that a computer 50 years from now will have a “computational capability that's with great carefree then amazing that folks will assume that it's an assistant. It knows who you are, it knows what you do, it makes suggestions, it intuits things for you” (1). In a similar way that the Google program makes suggestions once you start to enter an inquiry phrase, the computers of the longer term are going to be ready to accurately guess what you want and will provide you with suggestions. Schmidt also believes that computers of the longer term are going to be much faster than today.

Computer processing speed today is restricted by the speed of electrons moving through metal and electronic components. Research into a replacement sort of circuit is being made by Queen’s University Belfast and Imperial College London (13). Like modern circuits, the new circuit would also use metal, but on a way smaller scale than what's achieved today. The components being developed are more than 100 times smaller than the width of a human hair (13) and consist of arrangements of metal structures that interact with light in a unique way. The researchers call the small components of “nanoplasmonic devices” (13). Instead of electrons passing through the small circuits, light particles (photons) would transmit data at lightning speeds. The team is developing nanoscale waveguides to direct light along a desired route and nanoscale light detectors to detect the sunshine signals (13). The belief is that computers in the future may run at much higher speeds, allowing for greater processing power and much smaller size. Having high-speed and smaller components is not the only goal for future computers. Some believe that components of the human body, such as neurons and DNA, can one day be used to advance computer technology to a new level. Researchers from I.B.M. and four universities are currently working on a project to create a computer that mimics the brain. The four universities--Cornell University; the University of California, Merced; Columbia University; and the University of Wisconsin--and I.B.M. started the project in 2008 (8). A large and complex project with a broad goal to use the brain as an inspiration for a computer, the project, over time, began to focus on developing a computer that somewhat resembled the brain in its structure.

Unlike modern computers, the brain is made of billions of neurons, synapses, and complex pathways. The synapses act as data storage centers and link the neurons to each other. Electrical impulses rapidly pass through the axons--cores of the neurons--and get stored and transmitted by the synapses. In a computer, the data storage center is separate from the processor (8). A communications channel, a bus, links the two together (8).

The team from the four universities and I.B.M. has developed a “neuromorphic” computer chip that attempts to copy the structure of the brain (8). It contains 256 neuron-like nodes connected to 262,000 data storage modules resembling synapses (8). When connected to a computer, the chip allows it to recognize numbers written by a person. The computer connected to the chip has also learned how to play Pong, a primitive computer game. The computer is still in the developmental stages, but its future applications are numerous. According to scientists on the team, neuromorphic computers could guide robots through battlefields and allow robots to be trained instead of just programmed; neuromorphic computers in health-care monitors could alert nursing-home staff when a resident is sick, and neuromorphic computers could provide sight to blind people through a high-tech prosthetic eye (8). Even if these concepts become realities, scientists admit that neuromorphic computers will not be able to exactly resemble the structure or functioning of the human brain. The brain is an organ we still do not fully understand. Copying it exactly would be impossible.

Another interesting idea for the future of computing that relies on components of the human body is being pursued by Jian-Jun Shu at the Nanyang Technical University in Singapore. Shu’s idea is that computers may one day be based on DNA. One problem with modern computer circuits is that as computer components get smaller, they tend to heat up faster. Another problem is that the binary system--zeros and ones--used by all computers today has limits when computers are trying to solve highly complex equations. She told PhysOrg.com, “With DNA-based computing, you can do more than have ones and zeroes. DNA is made up of A, G, C, T, which gives it more range. DNA-based computing has the potential to deal with fuzzy data, going beyond digital data” (10).

Shu and his students are able to manipulate DNA strands by combining or splitting them. The DNA strands will, according to Shu’s model, store information that can then be retrieved and used for computation. Shu explained to PhysOrg.com that, “We can join strands together, creating an addition operation, or we can divide by making the DNA smaller by denaturalization. We expect that more complex operations can be done as well” (10). At this point in time, DNA computers are just a concept, without any real prototype. One day, DNA, the very substance that controls how we look and how we grow, might be used to speed up computers. The range of applications of such DNA computers really is beyond what we can perceive right now. The processing power of such a computer would be tremendous.

While the full range of the applications for DNA and neuromorphic computers is really beyond our full comprehension right now, the applications for our current technology are starting to be realized. The first long-distance test drive of autonomous, or self-driving, vehicles was done in 2010 during the VisLab Intercontinental Autonomous Challenge (5). A number of vans, equipped with a sophisticated array of equipment, drove from Italy to China with little human intervention, for the 2010 World Fair in Shanghai (5). That same year, Google rolled out its own fleet of autonomous vehicles.

Now, imagine for a moment that you are driving through California, down Highway 1. You look to your left and see a grey Toyota Prius with a strange device mounted to the roof. Two people are inside, but the guy sitting in the driver’s seat doesn’t appear to be driving. His hands are resting on his lap, but the car is staying perfectly in its own lane. You’ve seen one of Google’s seven autonomous test cars. As if to prove that it was not only limited to the search engine and software business, Google has launched its own fleet of self-driving cars.

Google’s Toyota Priuses are each equipped with a high tech array of sensors, processors, and cameras (9). A device called a lidar, attached to the top of the experimental car, records a detailed map of the surroundings. Hanging from the car ceiling and aimed toward the front of the car, through the window, a video camera provides video of the road ahead. Through it, the onboard computer can recognize obstacles and people in its path and respond appropriately. Three radar sensors in the front and one in the rear provide input about the positions of cars and other objects nearby. And, if that’s not enough, a position estimator measures movement made by the car and helps the onboard computer to accurately locate its position on a map.

A technician, seated in the front passenger’s seat, monitors a computer screen while a hired “driver” sits in the driver’s seat and watches the Prius drive itself (9). If something were to go wrong, the “driver” could tap on the break and regain control of the car. The system that Google developed for its self-driving cars has proven to be very reliable. The seven test cars drove a total of 140,000 miles with little human intervention (9). It is estimated that it will be more than eight years from now when self-driving cars will be on the market, but Google’s cars have proven that computer-controlled vehicles can be very safe. Because of Google and other tech companies experimenting with self-driving vehicles, Nevada has become the first state to legalized self-driving cars (6). Five other states, including California, are considering legalizing the novelty as well (6).

Google is not the only software company to use the software in applications apart from the desktop computer. Microsoft has been attempting to visualize what the future may hold for the home. A project that started in the 1990s, the “Microsoft Home” contains gadgets that Microsoft believes may found in homes of the future. The house is located at Microsoft’s campus in Redmond, Washington. First built in 1994, the house has undergone a number of changes and updates over the years (11). The latest version is 2011 Microsoft Home. That year, Jonathan Clubs, director of consumer prototyping and strategy at Microsoft, led a tour through the house, demonstrating its amazing features. Placing his hand on a hand scanner at the door, he waited briefly for it to unlock before stepping through.

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