Review on “A Genetic Algorithm Approach to Regenerate Image from a Reduce Scaled Image Using Bit Data Count”
One of the biggest problems that we can encounter when scaling a picture that’s small to a big dimension is the fact that small scaled image are losing some important bits of information which cannot be recovered when scaled back. This problem though, can be fixed using multi-objective genetic algorithm. Researchers Kishor Datta Gupta and Sajib Sen are describing a genetic algorithm approach to recover lost bits while image resized to the smaller version using the original image data bit counts which are stored while the image is scaled. This method is very scalable to apply in a distributed system. Also, the same method can be applied to recover error bits in any types of data blocks.
We are all familiar with the movies in which robots take control over humans and then chaos is brought into the world just because these forms of artificial intelligence became too developed. But is this actually possible or is it just an invention of the movie directors in order to attract more audience? Researcher Utku Kose tried to depict the possible scenarios in which this could happen and he also came up with some solutions in the article Are We Safe Enough in the Future of Artificial Intelligence? A Discussion on Machine Ethics and Artificial Intelligence Safety. Starting from the point that currently there are many anxious people about the possible existence of dangerous intelligent systems, Utku talked about many hypotheses and tried to find some answers to questions that probably we all have asked at a point in our life.