6 Matching Annotations
  1. Nov 2017
    1. Every site you access and every vendor you purchase from keeps data on you and so does your computer. I think it is very important for everyone to be aware of this. If you access unreputable sites, it could be used against you in a job search for instance.

      I agree that everyone should be aware that every activity made on the Internet is monitored. Thus, with that data other people will be able to use those information to cause hindrance into our life. For example, our credit card information got hacked.

    1. It is likely that you can. Because odds are there is only one person that is the same age and birth day that lives in your zip code. But it is possible that you would only have a couple options.

      I agree as based on a study they could re-identify credit card users 90% of the time just based on information which were not personal to the credit card users.

  2. Oct 2017
    1. People tend to believe what the read on the web, whether it is true or not. Public opinion can easily be swayed with misinformation whether accidental or intentional. One must rely on trustworthy and reliable sources before coming to a conclusion on any subject.

      I agree with Nancy that information people find on the Internet may not be as useful and it can be falsified. An example would be Wikipedia as any person could modify the content of the information in it.

    2. Trends have been incorporated into the search engine rankings that determine what pages rise to the top of the list. The positive impact is search results that show the most likely needed pages at the top of the list. The negative impact is having the algorithm making assumptions of what is wanted.

      I agree with Nancy. These pages that are ranked higher are only based on assumptions from the search algorithm due to the fact that the website are from notable corporations/company and are linked to a lot of other other websites. However, the credibility of its contents may not come from an expert or whatsoever.

    1. Researchers from MIT and the Massachusetts General Hospital are looking to create a new system that stores video files from Laparoscopy surgery in a more efficient way. Their new system would be able to recognize different parts of the surgery like tissue removal, stapling, biopsy, etc. and store the data accordingly. The system can also be trained to predict which medical instrument is needed next and alert the surgeon if there are any issues arising. However, the system must try to approximate the data that is left out when the frames of the video are slightly altered. However, with the machine learning these new things, it can create a very efficient way of surgery.

      It is amazing how from only data from video files could change how laparoscopy surgery works. The technology make laparoscopy surgery efficient and may reduce the cost due to the simpleness of the procedure. The system may have it setbacks from getting data from videos however, if data is stored frequently it can compensate that by getting huge amount of data from videos of the same procedure.

    1. This article follows a group of mathematicians from the University of Twente teamed with researchers from University Medical Center Utrecht that set out to help neuroscience by simulating the brain to determine which parts of the brain need to be removed that cause people to suffer from epilepsy. The study takes place in the Netherlands where out of the 100000 people who suffer from epilepsy only 2/3rds of the people respond to the medicinal treatment and the other 1/3rd require parts of their brain to be removed. The difficulty with this procedure is that it is not always clear which specific part of the brain needs to be removed. The mathematicians and researchers have found using computer simulation that the “abnormal” parts of the brain are not always the parts that need to be removed. The computer program allows the researcher to experiment as much as they would like and in the real world they only have one chance.

      The study is very interesting considering that computer simulations are able to determine that "abnormal" parts of the brain are not the source of the problem. In the future, computer simulation may also be able to predict future problems by just running simulations of the brain.