This comes at a time when algorithms have come to underline much of the modern world and growing so complex as to spark concern over the abilities it might bring in the future so that people wouldn't predict what algorithms are capable of doing.
While details surrounding this technology are still unclear, it seemed to impress many internet users who went to Reddit to question the ability of these AI algorithms.
Let's say you are in the mood to watch a movie similar to "The Avengers." A traditional recommendation
algorithm would sequentially add a single cinematic selection in every step which has similar attributes to those of "The Avengers." In contrast, the new
algorithm samples a group of films at random, discarding those that are too dissimilar to "The Avengers." What remains is a batch of movies that are diverse (after all, you do not want 10 Batman movies) but similar to "The Avengers." The
algorithm continues to add batches in every step until it has enough movies to recommend.
A very important step of the
algorithm is the selection of a new generator pixel.
We can choose to teach an
algorithm as a purely mechanical way of reaching a solution, but if we do so, much of the potential power of the
algorithm is lost.
In this regard, a new steganography
algorithm that uses chaotic
algorithm by a logistic map to hide secret data in cover images is proposed.
Algorithms aren't new, they can be traced back millennia to Greek mathematicians such as Euclid, the 'father of geometry', who developed an
algorithm that became the most efficient method for computing the greatest common divisor (GCD) of two numbers.
Also, when computing [k.sub.i] with the minimum Hamming weight, the [NAF.sub.W]
algorithm sets the rightmost w bits into 0s in line 8 and then, shifts [k.sub.(2)] by one bit to the right side in line 12 and compare whether the bit value is 0.