Understanding Bhabha Zeitler Theory of Cosmic Showers

Dr. Homi J Bhabha is a respected name in the field of theoretical research in Physics. In 1937 while at work in England he propounded what has come to be known as the Bhabha-Heitler cascade theory. This theory concerned the electron showers in cosmic rays which bombard the earth from all directions. To understand this theory it is important to understand a few simple facts that this theory touches

a) Cosmic Rays. These rays were discovered in 1912 by Victor Hess. This discovery came after he found that as he went up in a balloon with an electroscope, it discharged more rapidly. An electroscope is an instrument to detect the presence of electric charge. He was able to attribute these phenomena to a new source of radiation and subsequently won the Nobel Prize for Physics in 1937.

Are Computer Scientists Sealing Their Fate By Programming AI Software to Do Research Science?

It seems every day we look around, computers, robotics, and artificial intelligence are taking the jobs of humans. As a former employer it's difficult for me to give you an opinion of all of this that you will be satisfied with, and that is because I've watched some of the shenanigans that human beings attempt to pull while they are gainfully employed. Now then, I would like to talk to you about this challenge we have with our ever-increasing and advancing technology in the present period.

As the coordinator for a think tank, as we work on ways to improve efficiencies in business, industry, government, military, energy, water, education, transportation, healthcare, and economics. It seems that artificial intelligence, robotics, and computers are the answer to attaining such productivity and efficiency. Thus, at this level, and for the computer scientists that do the research, I'd say we are somewhat unfazed with the unintended consequences that this might cause the future. In fact, until it affects us personally, it's doubtful that we will be bothered by such triviality in our quest to better these technologies.

Nevertheless, I would like to ask the question which happens to be the title of this article; "are our computer scientists inadvertently sealing their own fate by doing research and programming the latest artificial intelligent software, robotics, and computers which will use these new algorithmic schemes?" The answer is yes, and we don't have to look too far to understand that the challenge is already here. After all, what was the first thing that they wanted to use IBM's "Watson" Supercomputer for once it won "Jeopardy" and outscored the top humans in the game?

Buying the Right Laboratory Equipment

Health labs, medical institutions and educational organisations all require specialist laboratory equipment to allow the lab professionals to undertake diagnostic applications with a high degree of accuracy. This equipment needs to be of a high standard and ought to be reliable and above all safe.

When choosing lab equipment you should seek an accredited manufacturer with expertise in this field so you can be sure that you are buying products which are tested and approved to undertake the processes that you plan to undertake. Buying the best in terms of quality does not necessarily mean expensive. There are a number of reputable lab equipment manufacturers, importers and stockists offering a wide choice at competitive prices.

2012 Science Trends

Well, science is making some decent headway in particle physics, astrophysics, astronomy, healthcare, material science, nanotech, and personal tech as we are all very aware. Okay so, let's talk about all of this for second shall we?

It looks as if IBM and Intel are both working on major breakthroughs in things like spectral imaging, supercomputers, and the new chips that use unbelievable materials, able to process with ultra-efficiency and at speeds unheard of. It looks as if science may crack an individual's DNA sequencing for a cost of under $500. Also we note that major discoveries are being made in cancer research, and the mapping of the human brain. Each incremental push forward seems to be bringing us to the point of major breakthroughs.