Friday, January 13, 2012

Car of the Future



So what is the car of the future? In other words, what appears to be the most promising technology explored by Click and Clack? Justify your response.

Based off of the findings of Click and Clack, it appears that the most promising technology for the car of the future is... electric cars. As of now, Tesla has brought a fully functional fully electric car to the market. The changes that can be made will be made slowly due to cost and our current amount of information about the technology. Even though the technology is not here, the steps that are being taken are steps in the right direction. As time moves on, the future car seems to be more tangeble. Electric cars are more efficient of fossil fuels because they use any. They are just as capable as a regular fuel power car, except for they are not able to travel as far. A major plus to the electric car is that it has zero I missions. In the state the world is now, we are trying to take step to improve the emission condition. The electric car is one of the few know alternatives to fuel that are safe and reliable.




What fields of study/work would support the development of the car of the future. Describe two different ones?

The two fields that would play a major role in creating the car of the future would be computer engineering and electric engineering. The technology that Tesla is using takes a lot of computer engineering in order for the the car to run and work smoothly and effeciently. The electric engineering place just as big a role as the computer of the car. An engineer would find the most effecient way to transport energy from the battery to the parts of the car the require the use of the power. The two fields, electric and computure engineering would have to combine. The computer would regulate the amount of electricity flow and where it goes at the specific time. All of the parts of the cars have to be working smoothing in order for an effecient and safe car is to be put on the market. A lot of research and time is spent perfecting the car of the future.

Friday, January 6, 2012

Smartest Machine on Earth




What is "machine learning"?
"Machine learning" is a branch of artificial intelligence that is concerned with the study of computer algorithms that improve automatically through experience. Watson by IBM uses "machine learning" in order to answer the Jeopardy questions without ever hearing the question before.
















How did the IBM team employ that concept in the development of Watson's AI? What advantage did that provide over previous attempts at "intelligence"?
IBM employed the concept of "machine learning" in the development of Watson's AI by feeding Watson thousands of previous Jeopardy questions. They also fed Watson different forms of the same thing, for example the letter A. The letter can have many different forms and shapes.  Instead of letters, Watson is fed different forms of questions, Watson is better equipped to answer a question asked because it can reference the way something is worded, allowing Watson to imply things if needed. With all of the references that IBM has supplied Watson with, Watson is able to access all the information searching for information that relates to the question. It then "weeds out" the least likely, leaving the most likely answer choice. The Artificial Intelligence allows Watson to better find the most likely answer and learn from its mistakes. Watson is able to listen to the answers of his opponents and learn from the way they answered, whether it is right or wrong, and how they answered. In the video, a question is asked about what month a certain holiday is in. Watson answered that the holiday stated was a holiday. An opponent answered the question as a month, getting it correct. After hereing the same style of answer for times in a row, Watson was able to answer the next question, which was the same style, correctly. The "intellegence" that Watson has been given and allowed to build on makes Watson able to gain more information and intellegence the more it answers questions and hears questions answered. Watson has taken AI to the next level because up till now, no other technology could produce a machine anywhere near Watson.

















I've often mentioned the term "Empirical Scepticism". What does that mean? How does that relate to the concept of Machine Learning? How does this relate to your life?
"Empirical Scepticism" is an attitude of doubt or a disposition to incredulity either in general or toward a particular object based on observation and/or experience. This relates to Machine Learning because Machine Learning is learning based off of previous information/experience. This relates to our lives because we live from experience, whether it is our own experience or other's.

Wednesday, January 4, 2012

Engineering Ground Zero





What different "trades" (types of construction work) are featured in this video? Name at least three.
1. Concrete

2. Landscape
3. Glass work
4. Piping
5. Steel
6. Electrical
7. Stone work
8. Coating
9. Thermal insulation
10. Firefighting facilities
11. Water facilities

What aspect of the project is most interesting to you? Why is that?
All of the ideas and innovations were interesting and inspiring. I found that the thoughts behind all of the work was very miticulous and new. Every aspect of the work being done rivaled each other for greatness, emotionally as well as in an innivative sense. The memmorial itself was an amazing idea, especially since it spoke to those effected and those who witnessed the event as well as everyone else. The building that is to the World Trade Center has, I believe, a very unique and tranquil design. The overall atmosphere of the environment pays great tribute to those who lost their life in the tragic attack. It seemed that everyone working on the site was giving their all for the cause. In other words, all aspects of the project were interesting to me because the reasons for the project had much meaning and the engineering that was used was innovative and impressive.