The history of veteran's day dates back to year 1919 when on November 12th American President Woodrow Wilson announced Armistice Day. As per the recent census there are approximately over 24.9 million military veterans in the United States alone. No doubt, solders and military personnel are assets to any country. They are the people who fight for the safety and security of their country and help ensure sovereignty of it. However, later it was decided that on every 11th November every year will be observed as Veterans Day. Most federal states observe 11th November and if it is Sunday then next working day is to be observed as Veterans Day. And, if it falls on Saturday then either Saturday or Friday is to be observed as Veterans Day. Other names for Veterans Day are Armistice Day or Remembrance Day. It is also known as Armistice because November 11 was the anniversary of the signing the Armistice which ended World War I. Other countries where 11th November is celebrated as a day for remembrance apart from the U.S.
Canada, the United Kingdom, Australia, and New Zealand along with others. However, in the U.S. So in U.S. every 11th November is celebrated as Veterans Day and observed as a public holiday in honor for thousands of soldiers who died and millions of people who served their country in the battlefield. Another most important thing associated with Veteran's Day is that you can either use Veteran's Day, Veterans' Day or even Veterans Day (without apostrophe), so it is never treated as a spelling mistake. Officially it's known as Veterans Day. Other interesting fact associated with Veterans is that most of these Veterans (more than 1 million as on 2007) live in 5 states i.e. California, Florida, Texas, New York and Pennsylvania, where California Tops the list with over 2.1 million veterans in the state. Another great thing associated with Veterans Day in America is American Flag. Unquestionably for any country its national flag matters a lot. It's matter of great pride and respect to see their own national flag marching up and above the rest. Let's see a brief introduction about history of the American flag. The history seems to be interesting and unique. It all started with the time when 13 colonies of British North America at the South Canada became rebellion and declared their independence. So you can clearly see 13 red and white horizontal lines with a British Union Flag in the canton (at the top left corner) with fifty five pointed white stars on the blue background. Creators of this flag were a few congressmen like Benjamin Franklin, Benjamin Harrison and Thomas Lynch, who gave birth to the national flag of the U.S.
‘Phrenology’ has an old-fashioned ring to it. It sounds like it belongs in a history book, filed somewhere between bloodletting and velocipedes. We’d like to think that judging people’s worth based on the size and shape of their skull is a practice that’s well behind us. However, phrenology is once again rearing its lumpy head. In recent years, machine-learning algorithms have promised governments and private companies the power to glean all sorts of information from people’s appearance. Several startups now claim to be able to use artificial intelligence (AI) to help employers detect the personality traits of job candidates based on their facial expressions. In China, the government has pioneered the use of surveillance cameras that identify and track ethnic minorities. Meanwhile, reports have emerged of schools installing camera systems that automatically sanction children for not paying attention, based on facial movements and microexpressions such as eyebrow twitches. Perhaps most notoriously, a few years ago, AI researchers Xiaolin Wu and Xi Zhang claimed to have trained an algorithm to identify criminals based on the shape of their faces, with an accuracy of 89.5%. They didn’t go so far as to endorse some of the ideas about physiognomy and character that circulated in the 19th century, notably from the work of the Italian criminologist Cesare Lombroso: that criminals are underevolved, subhuman beasts, recognizable from their sloping foreheads and hawk-like noses.
However, the recent study’s seemingly high-tech attempt to pick out facial features associated with criminality borrows directly from the ‘photographic composite method’ developed by the Victorian jack-of-all-trades Francis Galton - which involved overlaying the faces of multiple people in a certain category to find the features indicative of qualities like health, disease, beauty, and criminality. Technology commentators have panned these facial-recognition technologies as ‘literal phrenology’; they’ve also linked it to eugenics, the pseudoscience of improving the human race by encouraging people deemed the fittest to reproduce. In some cases, the explicit goal of these technologies is to deny opportunities to those deemed unfit; in others, it might not be the goal, but it’s a predictable result. Yet when we dismiss algorithms by labeling them as phrenology, what exactly is the problem we’re trying to point out? Are we saying that these methods are scientifically flawed and that they don’t really work - or are we saying that it’s morally wrong to use them regardless?
There is a long and tangled history to the way ‘phrenology’ has been used as a withering insult. Philosophical and scientific criticisms of the endeavor have always been intertwined, though their entanglement has changed over time. In the 19th century, phrenology’s detractors objected to the fact that phrenology attempted to pinpoint the location of different mental functions in different parts of the brain - a move that was seen as heretical, since it called into question Christian ideas about the unity of the soul. Interestingly, though, trying to discover a person’s character and intellect based on the size and shape of their head wasn’t perceived as a serious moral issue. Today, by contrast, the idea of localizing mental functions is fairly uncontroversial. Scientists might no longer think that destructiveness is seated above the right ear, but the notion that cognitive functions can be localized in particular brain circuits is a standard assumption in mainstream neuroscience. Read: How do you build a pet-friendly gadget? This article was written by GSA Content Generator Demoversion.