Information technology and innovation

Innovative approaches in education for instance, involves the use of multimedia teaching aids and electronic manual and specifications of learning objects and evolution, this same approach teaching facility .

Innovative approach in medicine is the use of modern diagnostic methods such as Modern imaging studies such as computed tomography , magnetic resonance , and finally the use of genetic testing and implementation of the principle of first diagnosis , therapy later .

Innovative approach almost by increasing the legal awareness of citizens and good -access to the courts and the rapid resolution of disputes and the possibility of submitting e- claims in e – court.

Innovative approaches in computing involves the use of different methods of requirements specification , design and implementation and creation of distributed systems. Often, the application runs in the cloud and access it via a browser is implemented . The importance of innovation are larger quantum computers and quantum algorithms , already used by Google for example for image processing . Quantum algorithms is a completely new approach to data processing and computationally complex problems . Innovative are also increasingly available mobile devices .

Innovation is perhaps best seen in physics and computer science, and generally in the areas of technology , and the least in the legislation – many regulations derived from Roman law . Still, that does not mean it is bad , apply certain provisions of the beginning of the century . Which indicates that they are good regulations and changes in the law should be like the rarest . Modern technologies such are used more organizational matters : e- case list , e- court etc. .

Of course it is another innovation in medicine, and in general in the natural sciences , which involves getting a better exploration , measurement , imaging and modeling of what nature has created , and another is innovation in computer science, where the language and methods of specification are created by human . Of course, such a division is also blurred because what nature has created such as natural selection has been used in computer science in the form of genetic algorithms and genetic programming . The idea of ​​a neural network is derived from the processing of stimuli by neurons . Algorithms and quantum computers use the principles of quantum mechanics theory of the nature created by physicists. Medicine increasingly uses computers to collect and process data , eg from sensors in computer tomography .

On the one hand, make it increasingly narrower scientific specializations , and on the other many areas of the meshes of computer science such as physics on the basis of just these computers and quantum algorithms .

So far the computer for good entered into physics (processing of measurement results , simulations etc. . ) Medicine (eg, imaging , workflow in the hospital ) , education (eg LCMS systems for distance learning , educational programs, e – journals e- books ) . Information systems enable you to work e-court . Now physics and its basic theories are entering into science, which allows the processing of large amounts of data , which will accelerate further research .