Your answer should be mode
Answer:
Garbage in, garbage out
Explanation:
Garbage in, garbage out is the famous saying among computer programmers that incorrect, poor-quality, flawed, or nonsense input will produce incorrect, poor-quality, flawed, or nonsense output while correct, good quality or valuable input will produce correct, good quality or valuable output. it is basically saying that computers cannot tell the difference between good and bad data.
Answer:
True
Explanation:
Building your personal brand requires extreme care when it comes to social media presence. In the age of internet there is nothing hidden, so whatever you post or comment will be seen by your audience and it can go in either way. It can either make your brand or break it. It is of utmost importance to leave a pleasant and positive impact on your audience. One should not indulge in inappropriate or controversial debates and try to avoid being too personal on social media.
Answer:
Explanation:Nowadays multimedia is characterized by a very complex nature due to the combination of different type of media, data sources, formats and resolutions, etc. Moreover, the performance is an important factor because of the sheer scale of the data to process. Therefore, the area of high-performance and scalable multimedia system gets more important. One of most important, complex and rapidly growing part of multimedia processing is the medical field. In most of the hospitals the potential of the large amount of collected multimedia data is ignored. This is very often because of the difficulties that processing such amount of data implies and lacking of efficient and simple-to-use analysis system. On the other hand, medical experts get more used to interact with multimedia content because of their daily live interaction and they want to use it also in their work. Most of the time this is a problem and the most common multimedia problems lay unsolved in this area. In this talk this problem is put into the spotlight and a multimedia system is presented that tackles automatic analysis of the gastrointestinal tract as a part of this problem. The focus lies on the presentation and evaluation of multimedia systems capabilities in the medical field. Therefore a novel system, that utilizes the benefits of heterogeneous architectures and can be used to automatically analyse high definition colonoscopies and large amount of capsular endoscopy devices are presented as a use case. Furhter it will be shown, that the improvement of multimedia systems performance via GPU-based processing which can help to reach real-time, live multimedia stream processing and low resource consumption which is important for the medical field and can help to save lives.
