The future of computing

Being able to simulate events with a high precision will give access to a limited capacity to view in the future and predict certain phenomena. Most of them will be natural, but statistically distributed social simulations will also give many clues about human evolution. In a few decades, we will be able to simulate every reaction between sub-atomic particles of a physical system. It will allow much better management of primary and secondary economic functions as agronomy and molecular engineering knowledge will allow precise and energy-efficient farming and manufacturing.

At one point we will be able to capture every detail relevant to a realistic simulation from every improbability wave and simulate concurrent outcomes that will answer questions involving chaotic communication functions. The faster we are capable of resolving improbability waves, the more precise our capacity to understand the consequences and benefits of a decision. When humans will form a computer that is capable of solving every improbability, genetic algorithm simulations explaining statistical outcomes of the best decisions will reduce the margin of error in every field of human influence and will enable scientific political decision-making.

One after another, every obstacle we face will evolve enough developments to work flawlessly. Starting with the simplest, the most complex will all be within the reach of the distributed intelligent system that will succeed the Internet. Human politics will evolve into a science when the basic aspects of an economy will be automatically regulated. At this point, permanent communications will be universal and computation will be capable of solving larger improbability functions, such as those involved in social interactions. Chaotic functions will be computable and achieve the creation of the mathematical functions of communications.

Computer-assisted decision-making is a crucial part of the semiconductor industry roadmap, whose performance is an achievement that should be followed. "Increasingly, new materials need to be introduced in technology development due to physical limits that otherwise would prevent further scaling. This is required especially for gate stacks and interconnect structures. Modeling related to reliability and process variations is needed. In consequence, equipment, process, device, and circuit models must be extended to include these new materials. Furthermore, computational material science needs to be developed and applied to contribute to the assessment and selection of new materials in order to reduce experiment effort." (International Technology Roadmap for Semiconductors, executive summary, p. 30). Multi-core systems, with over 100 processors per chip in aproximately 10 years, will scale the grid enormously. The combined computing resources of billions of processors will provide such power in a few years, provided required investments are made in key telecommunications technologies.