Steve Paul Jobs
That was such an excellent speech. It is really truly outstanding to hear the stories about how people got to where they are now. I feel inspired by listening to Steve Jobs talk about his life in the past and how he has turned into such a successful person. I like the fact that Jobs never gave up on what he loved. Even after dropping out of college, he still found a way to do what he loved; being around technology. The fact that at twenty years of age, Steve Jobs had the ability to create Apple in his parents garage is amazing. I also liked the fact that after 10 years as the CEO of Apple, the board fired Jobs. But he did not give up right there. He took the time to find his love of his life, start a new business, and become part of Pixar. The quote of this speech what really inspired me is "I'm convinced that the only thing that kept me going was that I loved what I did. You've got to find what you love." I wrote this quote on a sticky note and placed it on my desktop. So I will read it every morning when I wake up to go to class and work. I still believe the only reason Apple is so big now is because of Steve Jobs. The fact that he went back to Apple after being fired just shows he is fully committed to what he started. Steve Jobs even beat cancer! I'm glad that there was a cure for his cancer. It is going to be interesting in the future to see what Apple does with Jobs taking a leave of absence.
Wednesday, April 27, 2011
Tuesday, April 19, 2011
Blog Assignment 9 Post a blog to answer any one of the two questions listed above.
How can knowledge management support design-driven innovation?
There is many ways that knowledge managment can support design-driven innovation. We have to first see how the design thinking happens. The three main ideas are inspiration, ideation, and implementation. Inspiration for the cicumstances (be they a problem, an opportunity, or both) that motivates the search for solutions; 'ideation' for the process of generating, developing, and testing ideas that may lead to solutions; and 'implementation', for the charting of a path market. Projects will loop back through these spaces - particulary the first two - more than once as ideas are refined and new directions taken. Another good that knowledge management can support design-driven innovation is through taking a systems view. Many of the world's most successful brands create breakthrough ideas that are inspired by a deep understanding of consumer's lives and use the principles of design to innovate and build value. Sometimes innovation has to account for vast differences in cultural and socioeconmic conditions. In such cases design thinking can suggest creative alternatives to the assumptions made in developed societies. A good example is the Nintendo Wii. The cusomters wanted Nintendo to releash a gaming system that was more user-friendly. Nintendo then took it upon their developers to come up with a gaming system.
There is many ways that knowledge managment can support design-driven innovation. We have to first see how the design thinking happens. The three main ideas are inspiration, ideation, and implementation. Inspiration for the cicumstances (be they a problem, an opportunity, or both) that motivates the search for solutions; 'ideation' for the process of generating, developing, and testing ideas that may lead to solutions; and 'implementation', for the charting of a path market. Projects will loop back through these spaces - particulary the first two - more than once as ideas are refined and new directions taken. Another good that knowledge management can support design-driven innovation is through taking a systems view. Many of the world's most successful brands create breakthrough ideas that are inspired by a deep understanding of consumer's lives and use the principles of design to innovate and build value. Sometimes innovation has to account for vast differences in cultural and socioeconmic conditions. In such cases design thinking can suggest creative alternatives to the assumptions made in developed societies. A good example is the Nintendo Wii. The cusomters wanted Nintendo to releash a gaming system that was more user-friendly. Nintendo then took it upon their developers to come up with a gaming system.
Tuesday, April 12, 2011
Find and describe a real-world application of neural networking technology.
Neural networks in medicine
Neural networks are ideal in recognizing diseases using scans since there is no need to provide a specific algorithm on how to identify the disease. Neural networks learn by example so the details of how to recognize the disease are not needed. What is needed is a set of examples that are representative of all the variations of the disease. The quantity of examples is not as important as the 'quantity'. The examples need to be selected very carefully if the system is to perform reliably and efficiently.
Neural Networks are used experimentally to model the human cardiovascular system. Diagnosis can be achieved by building a model of the cardiovascular system of an individual and comparing it with the real time physiological measurements taken from the patient. If this routine is carried out regularly, potential harmful medical conditions can be detected at an early stage and thus make the process of combating the disease much easier
A model of an individual's cardiovascular system must mimic the relationship among physiological variables (i.e., heart rate, systolic and diastolic blood pressures, and breathing rate) at different physical activity levels. If a model is adapted to an individual, then it becomes a model of the physical condition of that individual. The simulator will have to be able to adapt to the features of any individual without the supervision of an expert. This calls for a neural network.
Neural networks are ideal in recognizing diseases using scans since there is no need to provide a specific algorithm on how to identify the disease. Neural networks learn by example so the details of how to recognize the disease are not needed. What is needed is a set of examples that are representative of all the variations of the disease. The quantity of examples is not as important as the 'quantity'. The examples need to be selected very carefully if the system is to perform reliably and efficiently.
Neural Networks are used experimentally to model the human cardiovascular system. Diagnosis can be achieved by building a model of the cardiovascular system of an individual and comparing it with the real time physiological measurements taken from the patient. If this routine is carried out regularly, potential harmful medical conditions can be detected at an early stage and thus make the process of combating the disease much easier
A model of an individual's cardiovascular system must mimic the relationship among physiological variables (i.e., heart rate, systolic and diastolic blood pressures, and breathing rate) at different physical activity levels. If a model is adapted to an individual, then it becomes a model of the physical condition of that individual. The simulator will have to be able to adapt to the features of any individual without the supervision of an expert. This calls for a neural network.
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