The Future Of Technology

The Future Of Technology

It is exciting to look into the future of technology. In an age of continuous innovation and invention, when the discovery of today loses its sheen tomorrow, it is not easy to pinpoint technologies that will transform our future.

Engineering and technical developments are everyone’s concern, as they will not be confined to industry, university classrooms, and R&D labs. Instead, they will make a tremendous difference in our day-to-day lives. Here I will attempt to identify some of the technologies that will revolutionize our lives and our values in the coming years.

1. Quantum Computers
Unlike current PCs, quantum computers will have switches that can be in an on or off state simultaneously. The mechanism that will make this possible is known as superposition, and the switches are referred to as quantum bits. The system will make quantum computers operate very fast. A basic quantum computer is likely to be operational by 2020.

2. Programmable Matter
Scientists are in the midst of creating a substance that can take a specific shape to perform a specific task. The substance is known as claytronics, and it consists of catoms. Individual catoms are programmed to move in three dimensions and position themselves so that they assume different shapes. This technology is likely to have numerous applications ranging from medical use to 3D physical rendering. It may take around two decades to become a reality.

3. Terascale Computing
Techies are working on a project that would make our PCs able to contain tens to hundreds of parallel working cores. The device will have the capability to process huge amounts of information. To create this technology, Intel is exploring the possibility of using nanotechnology and allowing for billions of transistors.

4. Repliee Robots
Repliee is one of the most advanced life-like robots ever created. Repliee, an android, is covered with a substance which is very similar to human skin. Sensors placed inside the robot control its movements and enable it to respond to its environment. Astonishingly, the robot can flutter its eyelids and replicate breathing. Repliee operates best in a static condition.

5. Organic Computers
To further advance the computing realm, techies need to create a hybrid CPU that is silicon based but contains organic parts as well. The most promising progress in information processing concerns a neurochip that places organic neurons onto a network of silicon or other materials. Future computers will be able to bridge the silicon and organic spheres to utilize processors that incorporate both of these elements.

6. “Spray-On” Nanocomputers
The “spray-on” nanocomputer would consist of particles that can be sprayed onto a patient. It would monitor the patient’s medical condition and communicate wirelessly to other machines.

7. Carrier Ethernet
Carrier Ethernet is a business service/access technology. It can serve as a transport method for both business and residential service. Ethernet will dominate the metro space in the future and will slowly displace SONET/SDH over the next 10 to 20 years.

Development sustains life. However, techies cannot afford to forget that technological advancement will remain inadequate in the absence of contributions from all branches of knowledge and will not flourish if it does not benefit society.

www.orkin-design.de The device of the flexible display allows a new concept in notebook design growing out of the traditional bookformed laptop into unfurling and convolving portable computer. By virtue of the OLED-Display technology and a multi touch screen the utility of a laptop computer with its weight of a mini-notebook and screen size of 13 inch easily transforms into the graphics tablet, which with its 17-inch flat screen can be also used as a primary monitor. On top of everything else all computer utilities from power supply through the holding belt to an interactive pen are integrated in Rolltop. This is really an all-in-one gadget. Support by Schlagheck-Design
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The Future of Coding

The Future of Coding

The number system is actually a system of codes to represent information that is not intrinsic to the code itself. So is the alphabet.

Since encryption also involves coding, some people confuse between codes and encryption. While there are elements common to both, the purpose of coding is to represent information efficiently, enabling arithmetical and logical manipulation, while the purpose of encryption is to hide information from unauthorized people. In that sense, code is information that is potentially available to all who who know the rules of coding and code-manipulation, while encryption is the process of restricting the meaning of the code to a select few. A good example of code would be DNA where the information is coded but not hidden. An example of encryption would be the way user-passwords are stored by most website databases.

Our concern in this article is with coding, and the use of technology for coding, and not with encryption. Since all encryption rides upon coding, knowing about the past and future of coding would automatically open up the way to understand the past and future of encryption, which can then be explained more efficiently in forthcoming write-ups devoted exclusively to encryption.

The arrival of computers made manipulation of codes easy, even when there are several levels of codes riding one on top of the other. So much so that what a man can do with paper and pencil in a thousand years can be done by a super computer in one second. However, contrary to what was expected in the last few decades, it has become clear that this raw increase in computational power and corresponding code-handling capacity has not resulted in a proportional capacity to mimic the human thought process.

If computers have to effectively take over all what men have envisaged them doing, then they need to mimic the human thought process. Raw computation power of a million supercomputers might be able to do that, we do not know, but then nobody in his right mind ever envisages a situation where a million supercomputers are connected together to guide a robot to sweep the house or go shopping. It has become increasingly clear that for the so-called Artificial Intelligence to arrive one needs more efficient ways of handling code and that is the bottleneck where things more or less the  stand today.

Algorithms: The Demand For Future

Machines with better efficiency will be needed to handle code-manipulation in future. Better efficiency here means both the raw computing power as well as the  ways in which code is handled to arrive at results.

Man handles code through addition, subtraction multiplication etc. But he also handles multiplication blazingly fast through tables, memorizing which at least up to the table of 30 was compulsory in Indian schools. In a previous generation stone masons also used to memorize tables of fractions, and were able to mentally compute area and volumes which for most of us requires books of references and calculators. Thus tables gave them unusual efficiency for mental computation in that bygone generation. What was done in these generation through tables is a good example of ”algorithms”.

An algorithm is a technique, method, or approach for solving a computational problem in an unusually efficient way. It is also a technique, method or approach for solving problems that demand complex logic. Mathematical tables are a good example. Logarithm that reduce very large multiplication and division to very simple addition and subtraction is another example. There are numerous other algorithms, some of which might look very complex to the reader, but which are easy for computers to handle. These algorithms give tremendous speed and accuracy to computers. However, even the best algorithm has not yet come to a point where it can mimic human thought even remotely. This is where the future

Designing the Future: The Computer in Architecture and Design

Designing the Future: The Computer in Architecture and Design

This book shows the full creative potential of the computer. Packed both with practical applications and new concepts, it demonstrates that computers do not simply perform old tasks more efficiently, but enable us to generate whole new worlds. Robin Baker shows how the computer is potentially the firmest bridge ever built between the two cultures of art and science: once simply a tool for handling abstract symbols, it has engendered – with the advent of VDU technology – the electronic image, and

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