Information about Algorithms

We use different analysis techniques for our studying the running time of the several algorithms. Of all we typically use probabilistic analysis to determine the running time of an algorithm in cases in which, due to the presence of an inherent probability distribution, the running time may differ on different inputs of the same size. In some cases, we assume that the inputs conform to a known probability distribution, so that we are averaging the running time over all possible inputs. In other cases, the probability distribution comes not from the inputs but from random choices made during the course of the algorithm. An algorithm whose behavior is determined not only by its input but by the values produced by a random-number generator is a randomized algorithm. We can use randomized algorithms to enforce a probability distribution on the inputs-thereby ensuring that no particular input always causes poor performance-or even to bound the error rate of algorithms that are allowed to produce incorrect results on a limited basis.

Information about Black Holes

Black holes don't emit x-rays themselves, matter falling into black holes heats up and emits x-rays before it is swallowed up. The Hawking radiation is different (but not at all ad hoc, as the article said); it's actually emitted by the black hole itself, and much weaker than the x-rays. Also, black holes are not usually "defined" to be singularities, it’s just that every current theory we have inevitably leads to singularities. String theory is different because the fundamental objects, strings, are extended (they have length), as opposed to points. It's been known for awhile that this would prevent singularities because the strings are spread out. What has come out more recently is the idea that the strings could stretch from the center of the black hole out to the edges, and somehow encode the information there (again, note that the key is that the strings have a length). This way information is not lost, which is VITAL to quantum mechanics.

Get Aspiration

Goals are about vision that creates value. A goal cannot just be a numerical target to be met. Goals are actually a reflection of our innate will to create something of lasting importance and value. It is then, that we are inspired. Mere figures and numbers mean nothing: actual worth is what matters. For example value can be added with the following perspective; a trainer who would like to impart learning and not just teach impersonally, a banker who would like to create financial abundance and security not just have the largest balance sheet. Hence the goal of a recruiter should not be just to meet target requirements and hire X amount of people, it should be to find, appreciate and acquire talent. In this manner the goals develop a deeper meaning and make work more inspiring.

Info about Science Difference

I was reading "An Emerging Mind" by V.Ramachandran (a brilliant book by a brilliant neuroscientist if I might say so). In that he mentions of people capable of pointing to objects even though they are blind. This is because the eye is working and sending signals to various parts of the brain and the "screen" and the "spatial arrangement centers" are different. So they still know something exists to where they are pointing but cannot "see" it. Even in this case, people should not know that they are missing out on something unless they compare with someone else. Like a person born blind cannot know that others can see. What if there was a planet full of such beings?