By Kate Le Grand at November 27 2018 22:25:24
Many scientists remain doubtful that true AI can ever be developed. The operation of the human mind is still little understood, and computer design may remain essentially incapable of analogously duplicating those unknown, complex processes. Various routes are being used in the effort to reach the goal of true AI. One approach is to apply the concept of parallel processing-interlinked and concurrent computer operations. Another is to create networks of experimental computer chips, called silicon neurons, that mimic data-processing functions of brain cells. Using analog technology, the transistors in these chips emulate nerve-cell membranes in order to operate at the speed of neurons.
Define the starting point of the process of project. This is the first step that starts of the process. For example, the first step could be project planning or research. Write down the starting point and the end result. Both of these should be in boxes with some space in between them. Adjust this space according to the number of steps and sub-steps involved in the process. Draw an arrow from the starting point to the end result. Along this arrow, list the various steps in order that are needed to go from the starting point to the end result. Include any sub-steps as needed.
For the production of rice, the energy consuming equipments used include blowers, elevators, motors, boilers and steam distribution and many more. The efficiency of the product (rice) depends on the utilities maintained by the rice production mills such as electricity, air, water, labour, etc. Many of the rice plants in India and also in the different parts of the world adhere to several procedures for rice processing such as drying of rice, cleaning of rice, milling, whitening, polishing, grading, blending, sorting and packaging. There are different types of sorters and separators used for the rice to be free from any type of dust, fungal infections, plastic granules, unwanted grain, etc.
Knowledge workers carry out these processes by taking into account multiple inputs (generally a wide set of unstructured data and information) to perform difficult tasks and make complex decisions among multiple possible ways of doing the work, each one implying different levels of risk and possible benefits. They are dependent on individuals and it is not possible to automate them. One example of a knowledge process is "Marketing a new product". The same steps are followed each time a new product is launched (benchmarking competitors, deciding pricing strategy, planning promotion, etc...), but it is the experience, knowledge and intuition of the people that drive the process to success.