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Daily Archives: January 4, 2017
FIBA Oceania – FIBA.com
Posted: January 4, 2017 at 6:22 pm
Leagues and results
Find a league Argentina: Liga A Brazil: D2 Brazil: NBB DIRECTV Liga de las Americas DIRECTV Liga Sudamericana Mexico Uruguay: LUB USA: NBA USA: NBDL USA: WNBA China: CBA FIBA Asia Champions Cup Iran: Superleague Japan Kazakhstan: Division I Korea Philippines: PBA Adriatic League Austria: BBL Balkan Eurohold League Baltic Basketball League Basketball Champions League Belarus Belgium: D1 Bosnia and Herzegovina Bulgaria: NBL Croatia: A1 Czech Republic Denmark EuroCup EuroCup Women EuroLeague EuroLeague Women FIBA Europe Cup Finland: Korisliiga France: LFB (women) France: Pro A France: Pro B Georgia Germany: BEKO Bundesliga Germany: Pro A Great Britain: BBL Greece: HEBA A1 Greece: HEBA A2 Hungary: A Division Hungary: A Division (women) Iceland Israel: Winner League Italy: Lega A Italy: Lega B Latvia: LBL 1 Lithuania: LKL MKD Montenegro Netherlands Poland: PLK Portugal: LPB Romania: D1 Russia: Superliga Serbia: Prva Liga Slovakia Slovenia: Liga UPC Telemach Spain (women) Spain: ACB Spain: LEB Sweden: BasketLigan Turkey: D 2 Turkey: TBL Turkey: TKBL (women) VTB United League Australia: 2nd Div Australia: NBL
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FIBA Oceania Championship – Wikipedia
Posted: at 6:22 pm
FIBA Oceania Championship is the name commonly used to refer to the Oceania basketball championships that take every two years between national teams of the continent. Through the 2015 edition, the Oceania Championships are also a qualifying tournament for the Basketball World Cups and Olympic Games. Beginning in 2017, all FIBA continental championships for men will be held on a four-year cycle, and the continental championships will no longer be part of the qualifying process for either the World Cup or Olympics. The 2017 Oceanian Championships will also be the last Oceanian Championships to ever be held as starting 2021, the tournament will merge with the FIBA Asia Championship to give way for the FIBA Asia-Pacific Championship[1]
When only Australia and New Zealand compete, the tournament is usually a best-of-three playoff; if other teams compete, a round-robin and a knockout stage is employed. In 2009, the Oceania Basketball Federation changed this format to a two-game, home-and-away playoff between the two countries, with aggregate score as the tiebreaker should the teams split the series.
Results highlighted in blue are Olympic qualifiers, those which aren't are World Championship qualifiers.
In 1997 basketball was included in the Pacific Mini Games, so therefore the Oceania Tournament was not played. The South Pacific Mini Games are held every four years for island teams in the two years between the main Pacific Games. These Games are held in countries with limited facilities and because of the large number of basketball entries this sport has not been included in previous Mini Games. Normally the Oceania Basketball Confederation conducts the Oceania Tournament at a similar time so as to provide competition for all countries. As a result, no Australian or New Zealand teams participated in 1997.
There was no Oceania Basketball Tournament in 2005 because the Mini Games included basketball that year in Palau.
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Grasshopper Island – Ontario, Canada – Private Islands for …
Posted: at 6:19 pm
Located on Grasshopper Island, Rice Lake is a private island getaway, waiting for you less then two hours from Toronto. Your adventure starts with a five minute ferry ride on the Spirit of the Loon across Rice Lake, to an exclusive 25 acre island offering you tranquility and relaxation. We offer a private escape from life's hectic distractions where you can kayak and canoe all day long, have fantastic photos taken of you and your children petting a newborn lamb, picking your first free-range eggs at the chicken coop, or bake homemade bread and pizzas in the 100 year old bread oven. The call of the loon, the painted turtles, the jumping bass, the blue herons, in the evening enjoy beautiful Rice Lake sunsets before you settle in for a night of stargazing around a crackling campfire!
Inclusions: Kayaks, canoes, unlimited campfire wood and ferry boat ride from mainland to island.
*Please note ferry is pedestrian only.
peace, paradise, unique, awesome, serenity
6 twin beds(brand new Simmons beautyrest mattresses (can be made up into three King sized beds)
Queen sized futon
solar lndoor lights
We supply pillows, dishpan, can opener, pots and pans, steel plates, steel mugs, plastic glasses, cutlery, BBQ utensils, oven mitts, lanterns. (NO candles allowed inside cabin!)
6 Muskoka recycled Lawn chairs, so comfy
Picnic table
Cedar deck
Fire pit, unlimited campfire wood
Propane BBQ (Filled tank included)
Outdoor privy / outdoor rain water shower
2- Toilet paper
Canoe + kayaks + Paddle Boats
Swimming (watershoes a must for everyone going in the water, including kayaking and canoeing!)
Adult lifejackets (we recommend you bring your own if you have them)
Walking, hiking and biking trails
Sandy Play areas
Sand Volleyball court , badminton court, horseshoe pits, reflections areas
Gigantic checkers
Books and board games
100 year old island fireplace, retrofitted with bread ovens (bring your bread mix etc)
baby sheep, piglets, freerange laying hens.......how cool is that? just imagine the photos? the island memories
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Grasshopper Island - Ontario, Canada - Private Islands for ...
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[Release] BF1 Internal Hack – unknowncheats.me
Posted: at 6:17 pm
Hey guys, I'll upload my BF1 hack, it's the best BF series hack I ever made so enjoy it
The download contains 2 files, the injector (huh I'm generous...) and the hack. Open the injector and it'll automatically inject the hack into BF1, enter BF1 and then press END. Put the injector and the hack together in the same directory.
The features are the following:
ESP Features: -Use NUMPAD0 to show/hide the menu. -Enable/disable ESP -ESP Distance: Render the distance you want. -Show Friends: Enable this when you want to see your friends or teammates. -Show Bones: Enable this if you want to see the player bones. -Show Names: Enable this if you want to see the players names. -Show HP: Enable or disable to show the HP bar. -Show Distance: Enable or disable to show the distance to the enemy. -Show FOV Circle: If you have the aimbot enabled and the enemy is inside of your circle the aimbot will aim to him.
Aimbot Features: -Enable/disable Aimbot (Right Mouse button and Left Alt to use aimbot) -Prioritize distance: Enabling this will make you aim depending in 2 things: the fov and the distance you are from the enemy. (IT'S BETTER TO ENABLE THIS) -Max Distance: Choose a max distance where the aimbot will work. -FOV: Max aimbot FOV to aim better. -Smooth Factor: Recommended to keep this a bit low, less than 0.1. -Retarget Time: Time the aimbot will pause to change between targets. -Bones: Choose one of 3 bones available now to aim. -Random Bones: Watch out with this. Use this only when your smooth factor is very low because the aimbot will aim randomly to each random bone so if you have a high smooth factor it'll snap fast to each bone.
Misc Features: -No Sway/Recoil (can be risky) -Instant Hit (can be risky)
Anti-Cheat Features: -DX11 Screen Cleaner (Just in case although PB is disabled in this game) -BitBlt Screen Cleaner (For FF)
To open the menu press "END" button which is under the "HOME" one. Press F8 to close the hack.
Known Issues: -I'd like to get a feedback of this hack because I want to improve the aimbot a lot more. -Sometimes randomly the map changes the color due to some problems saving the DX buffer I guess. -Don't rage if you don't want to get banned. Play normally with cheats.
IMPORTANT NOTES (*): -When you inject the hack you should press the key "END" to enable the hack. -Game should be fullscreen windowed (BORDERLESS). -Download Redistributable x64 2015 in windows official site.
Credits: -@RozenMaiden for this post. -@Extropian helped me with DirectX SS hooks. -@stevemk14ebr for his great PolyHook library. -@Extasy Hosting for his ImGui Style. -@evolution536 for his great dx universal hook. -@GuTu he helped me to set up the GetAABB and GetTransform in the correct position and shared some vehicle code. [emailprotected] for BB injection.
DOWNLOAD (19/10/2016): CLICK DOWNLOAD Trial and Enlister version (20/10/2016): CLICK DOWNLOAD (24/10/2016): CLICK DOWNLOAD (15/11/2016): CLICK v1.1 DOWNLOAD (11/12/2016): CLICK v1.2 DOWNLOAD (19/12/2016): CLICK v1.3
Change Log 20/10/16 -Added Enlister version compatibility -Added no recoil and sway -Added Instant Hit
Change Log 24/10/16 -Added ESP features: show health, FOV circle, names and distance -The aimbot has been fixed drastically, now the FOV is highly better, accurate and also it's taking into account the enemies you're watching or not. -Prioritize distance is fixed too and now it takes into account the distance of the closest enemy. -Added Retarget Time feature that makes you more legit than before, you can choose a value from 1 to 1000 and it's in milliseconds, defines the time that the aimbot will wait to target another enemy. -Windows 7 users can now inject the hack into the game.
Change Log 19/12/16 -Added ability to remove 2D boxes.
Do you want to donate? You can clicking here!
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LSD – Psychedelic Effects – The Good Drugs Guide
Posted: at 6:13 pm
The effects below describe the common physical, mental and emotional effects which comprise the psychedelic experience.
This information has been compiled from two sources: the decades of observation and study by psychiatrists in a clinical setting before LSD and other psychedelics were outlawed in the late 1960s; and books and anecdotal trip reports written by users. See here for a list of sources.
The most important thing to realize is that no two trips are the same. The intensity and effects of a drug like LSD vary dramatically from person to person. If different people take the same amount in the same circumstances, each will have a distinctly different experience. If the same person takes LSD repeatedly, each experience is usually completely different in its flavor and content. (1)
The nature of the psychedelic experience is strongly determined by set and setting. Set is your mindset (how you're feeling, issues in your life, your psychological makeup) when taking the drug; setting is where you are - that includes who you're with and how relaxed you feel. Dosage and previous experience with the drug are also important factors.
Basically, if you take LSD, you will experience some or none of the effects on the following scale:
how you feel before taking a drug
Very mild effect. Relaxation. Giggling. Like being stoned but with enhanced visual perception: colors may seem brighter, patterns recognition enhanced, colors and details more eye-grabbing.
Physically, a feeling of lightness and euphoria, and a slight tingling in the body. Energy. A sense of urgency. Music sounds better.
top
Stronger visual hallucinations. Radiant colors. Objects and surfaces appear to ripple or breathe. Colored patterns behind the eyes are vivid, more active. Moments of reflection and distractive thought patterns. Thoughts and thinking become enhanced. Creative urges. Euphoria. Connection with others, empathy. Ability to talk or interact with others however slightly impaired. Sense of time distorted or lost. Sexual arousal. "Flight of ideas" and "ambitious designs". You're tripping.
Very obvious visual effects. Curved or warped patterns. Familiar objects appear strange as surface details distract the eye. Imagination and 'mind's eye' images vivid, three dimensional. Geometric patterns behind closed eyes. Some confusion of the senses.
Distortion rather than deterioration of mental processes. Some awareness of background brain functioning: such as balance systems or auditory visual perception. Deep store memory becomes accessible. Images or experiences may rise to the fore. Music is powerful and can affect mood. Sense of time lost. Occasional trance states. Paranoia and distortions of body image possible.
Physical symptoms may include: stiffness, cramp, and muscular tension. Nausea, fever, feeling of illness. You're loaded.
top
Lying down. Difficult to interact with other people and 'consensus reality' in general. You should really be somewhere safe.
Very strong hallucinations such as objects morphing into other objects. Tracers, lingering after-images, and visual echoes.
Intense depersonalization. Category enscramblement. The barriers between you and the universe begin to break down. Connection with everything around you. Experiencing contradictory feelings simultaneously. Some loss of reality. Time meaningless. Senses blend into one. Sensations of being born. Multiple splitting of the ego. Powerful awareness of mental processes and senses. Lengthy trances often featuring highly symbolic, often mythical visions when eyes are closed. Powerful, and sometimes brutal psycho-physical reactions described by users as reliving their own birth. Direct experience of group or collective consciousness, ancestral memories, recall of past-lives, and other mystical experiences. Ecstasy.
Music extremely powerful, perhaps overwhelming. Emotionally sensitivity increased (often massively). Crying or laughing, or both simultaneously.
Tremors, twitches, twisting movements, sweating, chills, hot flushes - all common. You're essentially out of it.
A very rare experience. Total loss of visual connection with reality. The senses cease to function in the normal way. Total loss of self. Transcendental experiences of cosmic unity, merging with space, other objects, or the universe. Out of body experience. Ecstasy. "Entity contact". The loss of reality becomes so severe that it defies explanation. Pure white light. Difficult to put into words.
- The Varieties Of Psychedelic Experience, Robert Masters Ph.D & Jean Houston Ph.D (Park Street Press, 2000)
- Lysergic acid diethylamide (LSD-25). A clinical-psychological study. Savage C Amer. J. Psychiat., 1952; 108:896
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Eugenics in the United States – Wikipedia
Posted: at 6:08 pm
Early proponents
The American eugenics movement was rooted in the biological determinist ideas of Sir Francis Galton, which originated in the 1880s. Galton studied the upper classes of Britain, and arrived at the conclusion that their social positions were due to a superior genetic makeup.[11] Early proponents of eugenics believed that, through selective breeding, the human species should direct its own evolution. They tended to believe in the genetic superiority of Nordic, Germanic and Anglo-Saxon peoples; supported strict immigration and anti-miscegenation laws; and supported the forcible sterilization of the poor, disabled and "immoral".[12] Eugenics was also supported by African Americans intellectuals such as W. E. B. Du Bois, Thomas Wyatt Turner, and many academics at Tuskegee University, Howard University, and Hampton University; however they believed the best blacks were as good as the best whites and "The Talented Tenth" of all races should mix.[13] W. E. B. Du Bois believed "only fit blacks should procreate to eradicate the race's heritage of moral iniquity."[13][14]
The American eugenics movement received extensive funding from various corporate foundations including the Carnegie Institution, Rockefeller Foundation, and the Harriman railroad fortune.[7] In 1906 J.H. Kellogg provided funding to help found the Race Betterment Foundation in Battle Creek, Michigan.[11] The Eugenics Record Office (ERO) was founded in Cold Spring Harbor, New York in 1911 by the renowned biologist Charles B. Davenport, using money from both the Harriman railroad fortune and the Carnegie Institution. As late as the 1920s, the ERO was one of the leading organizations in the American eugenics movement.[11][15] In years to come, the ERO collected a mass of family pedigrees and concluded that those who were unfit came from economically and socially poor backgrounds. Eugenicists such as Davenport, the psychologist Henry H. Goddard, Harry H. Laughlin, and the conservationist Madison Grant (all well respected in their time) began to lobby for various solutions to the problem of the "unfit". Davenport favored immigration restriction and sterilization as primary methods; Goddard favored segregation in his The Kallikak Family; Grant favored all of the above and more, even entertaining the idea of extermination.[16] The Eugenics Record Office later became the Cold Spring Harbor Laboratory.
Eugenics was widely accepted in the U.S. academic community.[7] By 1928 there were 376 separate university courses in some of the United States' leading schools, enrolling more than 20,000 students, which included eugenics in the curriculum.[17] It did, however, have scientific detractors (notably, Thomas Hunt Morgan, one of the few Mendelians to explicitly criticize eugenics), though most of these focused more on what they considered the crude methodology of eugenicists, and the characterization of almost every human characteristic as being hereditary, rather than the idea of eugenics itself.[18]
By 1910, there was a large and dynamic network of scientists, reformers and professionals engaged in national eugenics projects and actively promoting eugenic legislation. The American Breeder's Association was the first eugenic body in the U.S., established in 1906 under the direction of biologist Charles B. Davenport. The ABA was formed specifically to "investigate and report on heredity in the human race, and emphasize the value of superior blood and the menace to society of inferior blood." Membership included Alexander Graham Bell, Stanford president David Starr Jordan and Luther Burbank.[19][20] The American Association for the Study and Prevention of Infant Mortality was one of the first organizations to begin investigating infant mortality rates in terms of eugenics.[21] They promoted government intervention in attempts to promote the health of future citizens.[22][verification needed]
Several feminist reformers advocated an agenda of eugenic legal reform. The National Federation of Women's Clubs, the Woman's Christian Temperance Union, and the National League of Women Voters were among the variety of state and local feminist organization that at some point lobbied for eugenic reforms.[23]
One of the most prominent feminists to champion the eugenic agenda was Margaret Sanger, the leader of the American birth control movement. Margaret Sanger saw birth control as a means to prevent unwanted children from being born into a disadvantaged life, and incorporated the language of eugenics to advance the movement.[24][25] Sanger also sought to discourage the reproduction of persons who, it was believed, would pass on mental disease or serious physical defect. She advocated sterilization in cases where the subject was unable to use birth control.[24] Unlike other eugenicists, she rejected euthanasia.[26] For Sanger, it was individual women and not the state who should determine whether or not to have a child.[27][28]
In the Deep South, women's associations played an important role in rallying support for eugenic legal reform. Eugenicists recognized the political and social influence of southern clubwomen in their communities, and used them to help implement eugenics across the region.[29] Between 1915 and 1920, federated women's clubs in every state of the Deep South had a critical role in establishing public eugenic institutions that were segregated by sex.[30] For example, the Legislative Committee of the Florida State Federation of Women's Clubs successfully lobbied to institute a eugenic institution for the mentally retarded that was segregated by sex.[31] Their aim was to separate mentally retarded men and women to prevent them from breeding more "feebleminded" individuals.
Public acceptance in the U.S. was the reason eugenic legislation was passed. Almost 19 million people attended the PanamaPacific International Exposition in San Francisco, open for 10 months from February 20 to December 4, 1915.[32][33] The PPIE was a fair devoted to extolling the virtues of a rapidly progressing nation, featuring new developments in science, agriculture, manufacturing and technology. A subject that received a large amount of time and space was that of the developments concerning health and disease, particularly the areas of tropical medicine and race betterment (tropical medicine being the combined study of bacteriology, parasitology and entomology while racial betterment being the promotion of eugenic studies). Having these areas so closely intertwined, it seemed that they were both categorized in the main theme of the fair, the advancement of civilization. Thus in the public eye, the seemingly contradictory[clarification needed] areas of study were both represented under progressive banners of improvement and were made to seem like plausible courses of action to better American society.[34][verification needed]
Beginning with Connecticut in 1896, many states enacted marriage laws with eugenic criteria, prohibiting anyone who was "epileptic, imbecile or feeble-minded"[35] from marrying.[citation needed]
The first state to introduce a compulsory sterilization bill was Michigan, in 1897 but the proposed law failed to garner enough votes by legislators to be adopted. Eight years later Pennsylvania's state legislators passed a sterilization bill that was vetoed by the governor. Indiana became the first state to enact sterilization legislation in 1907,[36] followed closely by Washington and California in 1909. Sterilization rates across the country were relatively low (California being the sole exception) until the 1927 Supreme Court case Buck v. Bell which legitimized the forced sterilization of patients at a Virginia home for the mentally retarded. The number of sterilizations performed per year increased until another Supreme Court case, Skinner v. Oklahoma, 1942, complicated the legal situation by ruling against sterilization of criminals if the equal protection clause of the constitution was violated. That is, if sterilization was to be performed, then it could not exempt white-collar criminals.[37] The state of California was at the vanguard of the American eugenics movement, performing about 20,000 sterilizations or one third of the 60,000 nationwide from 1909 up until the 1960s.[38]
While California had the highest number of sterilizations, North Carolina's eugenics program which operated from 1933 to 1977, was the most aggressive of the 32 states that had eugenics programs.[39] An IQ of 70 or lower meant sterilization was appropriate in North Carolina.[40] The North Carolina Eugenics Board almost always approved proposals brought before them by local welfare boards.[40] Of all states, only North Carolina gave social workers the power to designate people for sterilization.[39] "Here, at last, was a method of preventing unwanted pregnancies by an acceptable, practical, and inexpensive method," wrote Wallace Kuralt in the March 1967 journal of the N.C. Board of Public Welfare. "The poor readily adopted the new techniques for birth control."[40]
The Immigration Restriction League was the first American entity associated officially with eugenics. Founded in 1894 by three recent Harvard University graduates, the League sought to bar what it considered inferior races from entering America and diluting what it saw as the superior American racial stock (upper class Northerners of Anglo-Saxon heritage). They felt that social and sexual involvement with these less-evolved and less-civilized races would pose a biological threat to the American population. The League lobbied for a literacy test for immigrants, based on the belief that literacy rates were low among "inferior races". Literacy test bills were vetoed by Presidents in 1897, 1913 and 1915; eventually, President Wilson's second veto was overruled by Congress in 1917. Membership in the League included: A. Lawrence Lowell, president of Harvard, William DeWitt Hyde, president of Bowdoin College, James T. Young, director of Wharton School and David Starr Jordan, president of Stanford University.[41]
The League allied themselves with the American Breeder's Association to gain influence and further its goals and in 1909 established a Committee on Eugenics chaired by David Starr Jordan with members Charles Davenport, Alexander Graham Bell, Vernon Kellogg, Luther Burbank, William Ernest Castle, Adolf Meyer, H. J. Webber and Friedrich Woods. The ABA's immigration legislation committee, formed in 1911 and headed by League's founder Prescott F. Hall, formalized the committee's already strong relationship with the Immigration Restriction League. They also founded the Eugenics Record Office, which was headed by Harry H. Laughlin.[42] In their mission statement, they wrote:
Society must protect itself; as it claims the right to deprive the murderer of his life so it may also annihilate the hideous serpent of hopelessly vicious protoplasm. Here is where appropriate legislation will aid in eugenics and creating a healthier, saner society in the future."[42]
Money from the Harriman railroad fortune was also given to local charities, in order to find immigrants from specific ethnic groups and deport, confine, or forcibly sterilize them.[7]
With the passage of the Immigration Act of 1924, eugenicists for the first time played an important role in the Congressional debate as expert advisers on the threat of "inferior stock" from eastern and southern Europe.[43][verification needed] The new act, inspired by the eugenic belief in the racial superiority of "old stock" white Americans as members of the "Nordic race" (a form of white supremacy), strengthened the position of existing laws prohibiting race-mixing.[44] Eugenic considerations also lay behind the adoption of incest laws in much of the U.S. and were used to justify many anti-miscegenation laws.[45]
Stephen Jay Gould asserted that restrictions on immigration passed in the United States during the 1920s (and overhauled in 1965 with the Immigration and Nationality Act) were motivated by the goals of eugenics. During the early 20th century, the United States and Canada began to receive far higher numbers of Southern and Eastern European immigrants. Influential eugenicists like Lothrop Stoddard and Harry Laughlin (who was appointed as an expert witness for the House Committee on Immigration and Naturalization in 1920) presented arguments they would pollute the national gene pool if their numbers went unrestricted.[46][47] It has been argued that this stirred both Canada and the United States into passing laws creating a hierarchy of nationalities, rating them from the most desirable Anglo-Saxon and Nordic peoples to the Chinese and Japanese immigrants, who were almost completely banned from entering the country.[44][48]
Both class and race factored into eugenic definitions of "fit" and "unfit." By using intelligence testing, American eugenicists asserted that social mobility was indicative of one's genetic fitness.[49] This reaffirmed the existing class and racial hierarchies and explained why the upper-to-middle class was predominantly white. Middle-to-upper class status was a marker of "superior strains."[31] In contrast, eugenicists believed poverty to be a characteristic of genetic inferiority, which meant that those deemed "unfit" were predominantly of the lower classes.[31]
Because class status designated some more fit than others, eugenicists treated upper and lower class women differently. Positive eugenicists, who promoted procreation among the fittest in society, encouraged middle class women to bear more children. Between 1900 and 1960, Eugenicists appealed to middle class white women to become more "family minded," and to help better the race.[50] To this end, eugenicists often denied middle and upper class women sterilization and birth control.[51]
Since poverty was associated with prostitution and "mental idiocy," women of the lower classes were the first to be deemed "unfit" and "promiscuous."[31]
In 1907, Indiana passed the first eugenics-based compulsory sterilization law in the world. Thirty U.S. states would soon follow their lead.[52][53] Although the law was overturned by the Indiana Supreme Court in 1921,[54] the U.S. Supreme Court, in Buck v. Bell, upheld the constitutionality of the Virginia Sterilization Act of 1924, allowing for the compulsory sterilization of patients of state mental institutions in 1927.[55]
Some states sterilized "imbeciles" for much of the 20th century. Although compulsory sterilization is now considered an abuse of human rights, Buck v. Bell was never overturned, and Virginia did not repeal its sterilization law until 1974.[56] The most significant era of eugenic sterilization was between 1907 and 1963, when over 64,000 individuals were forcibly sterilized under eugenic legislation in the United States.[57] Beginning around 1930, there was a steady increase in the percentage of women sterilized, and in a few states only young women were sterilized. From 1930 to the 1960s, sterilizations were performed on many more institutionalized women than men.[31] By 1961, 61 percent of the 62,162 total eugenic sterilizations in the United States were performed on women.[31] A favorable report on the results of sterilization in California, the state with the most sterilizations by far, was published in book form by the biologist Paul Popenoe and was widely cited by the Nazi government as evidence that wide-reaching sterilization programs were feasible and humane.[58][59]
Men and women were compulsorily sterilized for different reasons. Men were sterilized to treat their aggression and to eliminate their criminal behavior, while women were sterilized to control the results of their sexuality.[31] Since women bore children, eugenicists held women more accountable than men for the reproduction of the less "desirable" members of society.[31] Eugenicists therefore predominantly targeted women in their efforts to regulate the birth rate, to "protect" white racial health, and weed out the "defectives" of society.[31]
A 1937 Fortune magazine poll found that 2/3 of respondents supported eugenic sterilization of "mental defectives", 63% supported sterilization of criminals, and only 15% opposed both.[60]
In the 1970s, several activists and women's rights groups discovered several physicians to be performing coerced sterilizations of specific ethnic groups of society. All were abuses of poor, nonwhite, or mentally retarded women, while no abuses against white or middle-class women were recorded.[61] Although the sterilizations were not explicitly motivated by eugenics, the sterilizations were similar to the eugenics movement[according to whom?] because they were done without the patients' consent.
For example, in 1972, United States Senate committee testimony brought to light that at least 2,000 involuntary sterilizations had been performed on poor black women without their consent or knowledge. An investigation revealed that the surgeries were all performed in the South, and were all performed on black welfare mothers with multiple children. Testimony revealed that many of these women were threatened with an end to their welfare benefits until they consented to sterilization.[62] These surgeries were instances of sterilization abuse, a term applied to any sterilization performed without the consent or knowledge of the recipient, or in which the recipient is pressured into accepting the surgery. Because the funds used to carry out the surgeries came from the U.S. Office of Economic Opportunity, the sterilization abuse raised older suspicions, especially amongst the black community, that "federal programs were underwriting eugenicists who wanted to impose their views about population quality on minorities and poor women."[31]
Native American women were also victims of sterilization abuse up into the 1970s.[63] The organization WARN (Women of All Red Nations) publicized that Native American women were threatened that, if they had more children, they would be denied welfare benefits. The Indian Health Service also repeatedly refused to deliver Native American babies until their mothers, in labor, consented to sterilization. Many Native American women unknowingly gave consent, since directions were not given in their native language. According to the General Accounting Office, an estimate of 3,406 Indian women were sterilized.[63] The General Accounting Office stated that the Indian Health Service had not followed the necessary regulations, and that the "informed consent forms did not adhere to the standards set by the United States Department of Health, Education, and Welfare (HEW)."[64]
One of the methods that was commonly suggested to get rid of "inferior" populations was euthanasia. A 1911 Carnegie Institute report mentioned euthanasia as one of its recommended "solutions" to the problem of cleansing society of unfit genetic attributes. The most commonly suggested method was to set up local gas chambers. However, many in the eugenics movement did not believe that Americans were ready to implement a large-scale euthanasia program, so many doctors had to find clever ways of subtly implementing eugenic euthanasia in various medical institutions. For example, a mental institution in Lincoln, Illinois fed its incoming patients milk infected with tuberculosis (reasoning that genetically fit individuals would be resistant), resulting in 30-40% annual death rates. Other doctors practiced euthanasia through various forms of lethal neglect.[65]
In the 1930s, there was a wave of portrayals of eugenic "mercy killings" in American film, newspapers, and magazines. In 1931, the Illinois Homeopathic Medicine Association began lobbying for the right to euthanize "imbeciles" and other defectives. The Euthanasia Society of America was founded in 1938.[66]
Overall, however, euthanasia was marginalized in the U.S., motivating people to turn to forced segregation and sterilization programs as a means for keeping the "unfit" from reproducing.[67]
Mary deGormo, a former classroom teacher was the first person to combine ideas about health and intelligence standards with competitions at state fairs, in the form of "better baby" contests. She developed the first such contest, the "Scientific Baby Contest" for the Louisiana State Fair in Shreveport, in 1908. She saw these contests as a contribution to the "social efficiency" movement, which was advocating for the standardization of all aspects of American life as a means of increasing efficiency.[21] deGarmo was assisted by the pediatrician Dr. Jacob Bodenheimer, who helped her develop grading sheets for contestants, which combined physical measurements with standardized measurements of intelligence.[68] Scoring was based on a deduction system, in that every child started at 1000 points and then was docked points for having measurements that were below a designated average. The child with the most points (and the least defections) was ideal.[69][verification needed]
The topic of standardization through scientific judgment was a topic that was very serious in the eyes of the scientific community, but has often been downplayed as just a popular fad or trend. Nevertheless, a lot of time, effort, and money were put into these contests and their scientific backing, which would influence cultural ideas as well as local and state government practices.[70][verification needed]
The National Association for the Advancement of Colored People promoted eugenics by hosting "Better Baby" contests and the proceeds would go to its anti-lynching campaign.[13]
First appearing in 1920 at the Kansas Free Fair, Fitter Family competitions, continued all the way up to World War II. Mary T. Watts and Dr. Florence Brown Sherbon,[71][72] both initiators of the Better Baby Contests in Iowa, took the idea of positive eugenics for babies and combined it with a determinist concept of biology to come up with fitter family competitions.[73]
There were several different categories that families were judged in: Size of the family, overall attractiveness, and health of the family, all of which helped to determine the likelihood of having healthy children. These competitions were simply a continuation of the Better Baby contests that promoted certain physical and mental qualities.[74] At the time, it was believed that certain behavioral qualities were inherited from your parents. This led to the addition of several judging categories including: generosity, self-sacrificing, and quality of familial bonds. Additionally, there were negative features that were judged: selfishness, jealousy, suspiciousness, high temperedness, and cruelty. Feeblemindedness, alcoholism, and paralysis were few among other traits that were included as physical traits to be judged when looking at family lineage.[75]
Doctors and specialists from the community would offer their time to judge these competitions, which were originally sponsored by the Red Cross.[75] The winners of these competitions were given a Bronze Medal as well as champion cups called "Capper Medals." The cups were named after then Governor and Senator, Arthur Capper and he would present them to "Grade A individuals".[76]
The perks of entering into the contests were that the competitions provided a way for families to get a free health check up by a doctor as well as some of the pride and prestige that came from winning the competitions.[75]
By 1925 the Eugenics Records Office was distributing standardized forms for judging eugenically fit families, which were used in contests in several U.S. states.[77]
After the eugenics movement was well established in the United States, it spread to Germany. California eugenicists began producing literature promoting eugenics and sterilization and sending it overseas to German scientists and medical professionals.[67] By 1933, California had subjected more people to forceful sterilization than all other U.S. states combined. The forced sterilization program engineered by the Nazis was partly inspired by California's.[8]
The Rockefeller Foundation helped develop and fund various German eugenics programs,[78] including the one that Josef Mengele worked in before he went to Auschwitz.[7][79]
Upon returning from Germany in 1934, where more than 5,000 people per month were being forcibly sterilized, the California eugenics leader C. M. Goethe bragged to a colleague:
You will be interested to know that your work has played a powerful part in shaping the opinions of the group of intellectuals who are behind Hitler in this epoch-making program. Everywhere I sensed that their opinions have been tremendously stimulated by American thought . . . I want you, my dear friend, to carry this thought with you for the rest of your life, that you have really jolted into action a great government of 60 million people.[80]
Eugenics researcher Harry H. Laughlin often bragged that his Model Eugenic Sterilization laws had been implemented in the 1935 Nuremberg racial hygiene laws.[81] In 1936, Laughlin was invited to an award ceremony at Heidelberg University in Germany (scheduled on the anniversary of Hitler's 1934 purge of Jews from the Heidelberg faculty), to receive an honorary doctorate for his work on the "science of racial cleansing". Due to financial limitations, Laughlin was unable to attend the ceremony and had to pick it up from the Rockefeller Institute. Afterwards, he proudly shared the award with his colleagues, remarking that he felt that it symbolized the "common understanding of German and American scientists of the nature of eugenics."[82]
After 1945, however, historians began to attempt to portray the US eugenics movement as distinct and distant from Nazi eugenics.[83]Jon Entine wrote that eugenics simply means "good genes" and using it as synonym for genocide is an "all-too-common distortion of the social history of genetics policy in the United States." According to Entine, eugenics developed out of the Progressive Era and not "Hitler's twisted Final Solution."[84]
Barbara Rothman and Gareth Thomas, writing for AMA Journal of Ethics, wrote that prenatal screening can be considered a form of contemporary eugenics because it prevents the birth of people with conditions considered undesirable.[85]
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The Effect of Darwinism on Morality and Christianity | The …
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It sometimes is claimed that one can be both a Darwinist and a Christian (Miller). Others argue that religion and Darwinism are incompatible because they are separate fields that should not be intermixed (Gould). In fact, the Darwinism worldview leads directly to certain clear moral and religious teachings about the origin, purpose, and ultimate meaning of life that are diametrically opposed to the Christian, Jewish, and Islamic faiths. The problem is that Darwinists,
Some scientists are more open and forthright than Miller and Gould, some even concluding that "there is something dishonestly selfserving" in the tactic claiming that "science and religion are two separate fields" (Dawkins, p. 62). Most evolutionists fully understand what is at stake in the creation/evolution controversy. Futuyma admits that anyone who "believes in Genesis as a literal description of history" holds a "worldview that is entirely incompatible with the idea of evolution . . ." (pp. 12-13). Futuyma then claims that Darwinists insist on "material, mechanistic causes" for life but the "believer in Genesis" can look to God for explanations.
Historians have documented meticulously the fact that Darwinism has had a devastating impact, not only on Christianity, but also on theism. Many scientists also have admitted that the acceptance of Darwinism has convinced large numbers of people that the Genesis account of creation is erroneous, and that this has caused the whole house of theistic cards to tumble:
As a result of the widespread acceptance of Darwinism, the Christian moral basis of society was undermined. Furthermore Darwin himself was "keenly aware of the political, social, and religious implications of his new idea. . . . Religion, especially, appeared to have much to lose . . ." (Raymo, p. 138).
Numerous scientists have noted that one result of the general acceptance of Darwinism was acceptance of the belief that humans "are accidental, contingent, ephemeral parts of creation, rather than lords over it" and humans are not "the raison d'tre of the universe" as all theistic religions teach (Raymo, p. 163).
The Darwinism belief that humans (and all living things) are nothing more than an accident of history, "cosmically inconsequential bundles of stardust, adrift in an infinite and purposeless universe" is a belief that is now "widely embraced within the scientific community" (Raymo, p. 160). Darwinism was a major factor in causing many eminent scientists to conclude, in the words of Nobel laureate Steven Weinberg, that the "more the universe seems comprehensible, the more it also seems pointless" (p. 154). Darwinism teaches "that our lives are brief and inconsequential in the cosmic scheme of things" (Raymo, p. 110), and that life has no ultimate purpose because there is no heaven, hell, or afterlife and "nothing we know about life requires the existence of a disembodied vital force or immaterial spirits, or a special creation of species" (Raymo, p. 42). Raymo concludes:
One of the most eminent evolutionists ever, Harvard paleontologist George Gaylord Simpson, taught that, "Man is the result of a purposeless and natural process that did not have him in mind" (p. 345).
Raymo concludes that Darwin's theory was "not what we want to hear" because it is difficult for humans who have long thought of themselves as "the central and immortal apex of creationthe apple of God's eyeto accept that" we are, "unexceptional, contingent, and ephemeral in the cosmological scheme of things" (p. 129).
Raymo adds that since Darwinism has demolished the belief that the universe and human beings have an ultimate purpose, our educational system must inculcate young people in "cold and clammy truths like descent from reptilian or amoebic ancestors," Raymo then suggests that although it,
Cruel or otherwise, Raymo states that Darwinism "is a fact by every criterion of science" and that our "school kids do not need intellectual security blankets" (p. 144). The implications of Darwinism "perhaps the most revolutionary idea in the history of human thought" are clear.
Acclaimed Oxford zoologist Richard Dawkins has written extensively about the implications of Darwinism. In a speech titled "A Scientist's Case Against God," Dawkins argued that Darwinism "has shown higher purpose to be an illusion" and that the Universe consists of "selfish genes;" consequently, "some people are going to get hurt, others are going to get lucky, and you won't find any rhyme or reason for it" (Easterbrook, p. 892).
Dawkins believes that people who believe life was created for a purpose not only are mistaken, but are ignorant: "Only the scientifically illiterate" believe we exist for a higher purpose. The scientifically literate know there is no reason "why" we exist, we "just do" as an accident of history. Dawkins also teaches that no evidence exists to support theism, and that "nowadays the better educated admit it" (Easterbrook, p. 892).
The central message of Richard Dawkins' voluminous writings is that the universe has precisely the properties we should expect if it has "no design, no purpose, no evil and no good, nothing but pointless indifference" (Easterbrook, p. 892). Dawkins even admitted that his best-selling book, The Selfish Gene, was an attempt to get rid of what he regarded as an "outright wrong idea" that had achieved a grip in popular sciencenamely, the erroneous "assumption that individuals act for the good of the species," which he believes is "an error that needed exploding, and the best way to demonstrate what's wrong with it . . . was to explain evolution from the point of view of the gene" (Easterbrook, p. 892). Dawkins added that the reason why The Selfish Gene was a best seller could be because it teaches the "truth" about why humans exist, namely humans,
Dawkins obviously is proud of the depressing effect his writings have on people. Raymo even claims that the dominant view among modern Darwinists is that our minds are "merely a computer made of meat" (pp. 187-188), and that "almost all scientists" believe the idea that a human soul exists is a "bankrupt notion"; and consequently, the conclusion that our minds are "merely a computer made of meat" is considered by Darwinists "almost a truism" (pp. 192-193, emphasis his).
In Futuyma's words, "if the world and its creatures developed purely by material, physical forces, it could not have been designed and has no purpose or goal" (pp. 12-13). Furthermore, he notes that the creationist,
Is this pessimistic, antitheistic, and nihilistic view of humans widespread? One researcher claimed that "ninety-nine percent of the scientists whom I met in my career . . . support the view expressed by Dawkins [that anyone] . . . who denies evolution is either ignorant, stupid, insane or wicked" (Rrsch, p. F3). This oft' made claim is totally false: an estimated 10,000 scientists in the USA and about 100,000 creation scientists in the world reject Darwinism, and hold instead to a creation worldview (Bergman). A question every concerned parent and grandparent should ask is: "Do we want our children taught that life has no ultimate purpose, and that our minds are merely a computer made of meat?" The fact is:
Why do so many people believe the pessimistic, nihilistic, and depressive Darwinist view? One reason is they are convinced that science has proven Darwinism to be true. Sadly, however, many scientists are unaware of the large body of evidence supporting creationism. And numerous scientists recognize that, at best, the view common among elite scientists is unscientific. Shallis argues that:
Darwinists have indoctrinated our society for over 100 years in a worldview that has proven to be tragically destructive. And they often have done this by a type of deceit that began before the Piltdown hoax and continues today in many leading biology textbooks (Wells).
Acknowledgments:
Bert Thompson, Ph.D., and Clifford L. Lillo for their insight.
References
* Jerry Bergman, Ph.D., is on the Biology faculty at Northwest State College in Ohio.
Cite this article: Jerry Bergman, Ph.D. 2001. The Effect of Darwinism on Morality and Christianity. Acts & Facts. 30 (6).
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9 Development in Artificial Intelligence | Funding a …
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ment" (Nilsson, 1984). Soon, SRI committed itself to the development of an AI-driven robot, Shakey, as a means to achieve its objective. Shakey's development necessitated extensive basic research in several domains, including planning, natural-language processing, and machine vision. SRI's achievements in these areas (e.g., the STRIPS planning system and work in machine vision) have endured, but changes in the funder's expectations for this research exposed SRI's AI program to substantial criticism in spite of these real achievements.
Under J.C.R. Licklider, Ivan Sutherland, and Robert Taylor, DARPA continued to invest in AI research at CMU, MIT, Stanford, and SRI and, to a lesser extent, other institutions.18 Licklider (1964) asserted that AI was central to DARPA's mission because it was a key to the development of advanced command-and-control systems. Artificial intelligence was a broad category for Licklider (and his immediate successors), who "supported work in problem solving, natural language processing, pattern recognition, heuristic programming, automatic theorem proving, graphics, and intelligent automata. Various problems relating to human-machine communicationtablets, graphic systems, hand-eye coordinationwere all pursued with IPTO support" (Norberg and O'Neill, 1996).
These categories were sufficiently broad that researchers like McCarthy, Minsky, and Newell could view their institutions' research, during the first 10 to 15 years of DARPA's AI funding, as essentially unfettered by immediate applications. Moreover, as work in one problem domain spilled over into others easily and naturally, researchers could attack problems from multiple perspectives. Thus, AI was ideally suited to graduate education, and enrollments at each of the AI centers grew rapidly during the first decade of DARPA funding.
DARPA's early support launched a golden age of AI research and rapidly advanced the emergence of a formal discipline. Much of DARPA's funding for AI was contained in larger program initiatives. Licklider considered AI a part of his general charter of Computers, Command, and Control. Project MAC (see Box 4.2), a project on time-shared computing at MIT, allocated roughly one-third of its $2.3 million annual budget to AI research, with few specific objectives.
The history of speech recognition systems illustrates several themes common to AI research more generally: the long time periods between the initial research and development of successful products, and the interactions between AI researchers and the broader community of researchers in machine intelligence. Many capabilities of today's speech-recognition systems derive from the early work of statisticians, electrical engineers,
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Artificial Intelligence: What It Is and How It Really Works
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Which is Which?
It all started out as science fiction: machines that can talk, machines that can think, machines that can feel. Although that last bit may be impossible without sparking an entire world of debate regarding the existence of consciousness, scientists have certainly been making strides with the first two.
Over the years, we have been hearing a lot about artificial intelligence, machine learning, and deep learning. But how do we differentiate between these three rather abstruse terms, and how are they related to one another?
Artificial intelligence (AI) is the general field that covers everything that has anything to do with imbuing machines with intelligence, with the goal of emulatinga human beings unique reasoning faculties. Machine learning is a category within the larger field of artificial intelligence that is concerned with conferring uponmachines the ability to learn. This is achieved by using algorithms that discoverpatterns and generate insights from the data they are exposed to, for application to future decision-making and predictions, a process that sidesteps theneed to be programmed specifically for every single possible action.
Deep learning, on the other hand, is a subset of machine learning: its the most advanced AI field, one that brings AI the closest to thegoal of enabling machines to learn and think as much like humans as possible.
In short, deep learning is a subset of machine learning, and machine learning falls within artificial intelligence. The followingimage perfectly encapsulatesthe interrelationship of the three.
Heres a little bit of historical background to better illustrate the differences between the three, and how each discovery and advance has paved the way for the next:
Philosophers attempted to make sense of human thinking in the context of a system, and this idea resulted in the coinage ofthe term artificial intelligence in 1956. And its stillbelieved that philosophy has an important role to play in the advancement of artificial intelligence to this day. Oxford University physicist David Deutsch wrote in an article how he believes that philosophy still holds the key to achieving artificial general intelligence (AGI), the level of machine intelligence comparable to that of the human brain, despite the fact that no brain on Earth is yet close to knowing what brains do in order to achieve any of that functionality.
Advancements in AI have given rise to debates specifically about them being a threat to humanity, whether physically or economically (for which universal basic income is also proposed, and is currently being tested in certain countries).
Machine learning is just one approach to reifyingartificial intelligence, and ultimately eliminates (or greatly reduces) the need to hand-code the software with a list of possibilities, and how the machine intelligence ought toreact to each of them. Throughout 1949 until the late 1960s, American electric engineer Arthur Samuel worked hard onevolving artificial intelligence from merely recognizing patterns to learning from the experience, making him the pioneer of the field. He used a game of checkers for his research while working with IBM, and this subsequently influenced the programming of early IBM computers.
Current applications are becoming more and more sophisticated, making their way into complex medical applications.
Examples include analyzing large genome sets in an effort to prevent diseases, diagnosing depression based on speech patterns, and identifying people with suicidal tendencies.
As we delve into higher and evenmore sophisticated levels of machine learning, deep learning comes into play. Deep learning requires a complex architecture that mimics a human brains neural networks in order to make sense of patterns, even with noise, missing details, and other sources of confusion. While the possibilities of deep learning are vast, so are its requirements: you need big data, and tremendous computing power.
It means not having to laboriously program a prospective AI with that elusive quality of intelligencehowever defined. Instead, all the potential for future intelligence and reasoning powers are latent in the program itself, much like an infants inchoate but infinitely flexible mind.
Watch this video for a basic explanation of how it all works:
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Artificial Intelligence Market Size and Forecast by 2024
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Artificial intelligence is a fast emerging technology, dealing with development and study of intelligent machines and software. This software is being used across various applications such as manufacturing (assembly line robots), medical research, and speech recognition systems. It also enables in-build software or machines to operate like human beings, thereby allowing devices to collect, analyze data, reason, talk, make decisions and act The global artificial intelligence market was valued at US$ 126.24 Bn in 2015 and is forecast to grow at a CAGR of 36.1% from 2016 to 2024 to reach a value of US$ 3,061.35 Bn in 2024.
The global artificial intelligence market is currently witnessing healthy growth as companies have started leveraging the benefits of such disruptive technologies for effective customer reach and positioning of their services/solutions. Market growth is also supported by an expanding application base of artificial intelligence solutions across various industries. However, factors such as low funding access or high upfront investment, and demand for skilled resources (workforce) are presently acting as major deterrents to market growth.
On the basis of types of artificial intelligence systems, the market is segmented into artificial neural network, digital assistance system, embedded system, expert system, and automated robotic system. Expert system was the most adopted or revenue generating segment in 2015. This was mainly due to the extensive use of artificial intelligence across various sectors including diagnosis, process control, design, monitoring, scheduling and planning.
Based on various applications of artificial intelligence systems, the market has been classified into deep learning, smart robots, image recognition, digital personal assistant, querying method, language processing, gesture control, video analysis, speech recognition, context aware processing, and cyber security. Image recognition is projected to be the fastest growing segment by application in the global artificial intelligence market. This is due to the growing demand for affective computing technology across various end-use sectors for better study of systems that can recognize, analyze, process, and simulate human effects.
North America was the leader in the global artificial intelligence market in 2015, holding approximately 38% of the global market revenue share, and is expected to remain dominant throughout the forecast period from 2016 to 2024. High government funding and a strong technological base have been some of the major factors responsible for the top position of the North America region in the artificial intelligence market over the past few years. Middle East and Africa is expected to grow at the highest CAGR of 38.2% throughout the forecast period. This is mainly attributed to enormous opportunities for artificial intelligence in the MEA region in terms of new airport developments and various technological innovations including robotic automation.
The key market players profiled in this report include QlikTech International AB, MicroStrategy Inc., IBM Corporation, Google, Inc., Brighterion Inc., Microsoft Corporation, IntelliResponse Systems Inc., Next IT Corporation, Nuance Communications, and eGain Corporation.
Chapter 1 Preface 1.1 Research Scope 1.2 Market Segmentation 1.3 Research Methodology
Chapter 2 Executive Summary 2.1 Market Snapshot: Global Artificial Intelligence Market, 2015 & 2024 2.2 Global Artificial Intelligence Market Revenue, 2014 2024 (US$ Bn) and CAGR (%)
Chapter 3 Global Artificial Intelligence Market Analysis 3.1 Key Trends Analysis 3.2 Market Dynamics 3.2.1 Drivers 3.2.2 Restraints 3.2.3 Opportunities 3.3 Value Chain Analysis 3.4 Global Artificial Intelligence Market Analysis, By Types 3.4.1 Overview 3.4.2 Artificial Neural Network 3.4.3 Digital Assistance System 3.4.4 Embedded System 3.4.5 Expert System 3.4.6 Automated Robotic System 3.5 Global Artificial Intelligence Market Analysis, By Application 3.5.1 Overview 3.5.2 Deep Learning 3.5.3 Smart Robots 3.5.4 Image Recognition 3.5.5 Digital Personal Assistant 3.5.6 Querying Method 3.5.7 Language Processing 3.5.8 Gesture Control 3.5.9 Video Analysis 3.5.10 Speech Recognition 3.5.11 Context Aware Processing 3.5.12 Cyber Security 3.6 Competitive Landscape 3.6.1 Market Positioning of Key Players in Artificial Intelligence Market (2015) 3.6.2 Competitive Strategies Adopted by Leading Players
Chapter 4 North America Artificial Intelligence Market Analysis 4.1 Overview 4.3 North America Artificial Intelligence Market Analysis, by Types 4.3.1 North America Artificial Intelligence Market Share Analysis, by Types, 2015 & 2024 (%) 4.4 North America Artificial Intelligence Market Analysis, By Application 4.4.1 North America Artificial Intelligence Market Share Analysis, by Application, 2015 & 2024 (%) 4.5 North America Artificial Intelligence Market Analysis, by Region 4.5.1 North America Artificial Intelligence Market Share Analysis, by Region, 2015 & 2024 (%)
Chapter 5 Europe Artificial Intelligence Market Analysis 5.1 Overview 5.3 Europe Artificial Intelligence Market Analysis, by Types 5.3.1 Europe Artificial Intelligence Market Share Analysis, by Types, 2015 & 2024 (%) 5.4 Europe Artificial Intelligence Market Analysis, By Application 5.4.1 Europe Artificial Intelligence Market Share Analysis, by Application, 2015 & 2024 (%) 5.5 Europe Artificial Intelligence Market Analysis, by Region 5.5.1 Europe Artificial Intelligence Market Share Analysis, by Region, 2015 & 2024 (%)
Chapter 6 Asia Pacific Artificial Intelligence Market Analysis 6.1 Overview 6.3 Asia Pacific Artificial Intelligence Market Analysis, by Types 6.3.1 Asia Pacific Artificial Intelligence Market Share Analysis, by Types, 2015 & 2024 (%) 6.4 Asia Pacific Artificial Intelligence Market Analysis, By Application 6.4.1 Asia Pacific Artificial Intelligence Market Share Analysis, by Application, 2015 & 2024 (%) 6.5 Asia Pacific Artificial Intelligence Market Analysis, by Region 6.5.1 Asia Pacific Artificial Intelligence Market Share Analysis, by Region, 2015 & 2024 (%)
Chapter 7 Middle East and Africa (MEA) Artificial Intelligence Market Analysis 7.1 Overview 7.3 MEA Artificial Intelligence Market Analysis, by Types 7.3.1 MEA Artificial Intelligence Market Share Analysis, by Types, 2015 & 2024 (%) 7.4 MEA Artificial Intelligence Market Analysis, By Application 7.4.1 MEA Artificial Intelligence Market Share Analysis, by Application, 2015 & 2024 (%) 7.5 MEA Artificial Intelligence Market Analysis, by Region 7.5.1 MEA Artificial Intelligence Market Share Analysis, by Region, 2015 & 2024 (%)
Chapter 8 Latin America Artificial Intelligence Market Analysis 8.1 Overview 8.3 Latin America Artificial Intelligence Market Analysis, by Types 8.3.1 Latin America Artificial Intelligence Market Share Analysis, by Types, 2015 & 2024 (%) 8.4 Latin America Artificial Intelligence Market Analysis, By Application 8.4.1 Latin America Artificial Intelligence Market Share Analysis, by Application, 2015 & 2024 (%) 8.5 Latin America Artificial Intelligence Market Analysis, by Region 8.5.1 Latin America Artificial Intelligence Market Share Analysis, by Region, 2015 & 2024 (%)
Chapter 9 Company Profiles 9.1 QlikTech International AB 9.2 MicroStrategy, Inc. 9.3 IBM Corporation 9.4 Google, Inc. 9.5 Brighterion, Inc. 9.6 Microsoft Corporation 9.7 IntelliResponse Systems Inc. 9.8 Next IT Corporation 9.9 Nuance Communications 9.10 eGain Corporation
The Artificial Intelligence Market report provides analysis of the global artificial intelligence market for the period 20142024, wherein the years from 2016 to 2024 is the forecast period and 2015 is considered as the base year. The report precisely covers all the major trends and technologies playing a major role in the artificial intelligence markets growth over the forecast period. It also highlights the drivers, restraints, and opportunities expected to influence the market growth during this period. The study provides a holistic perspective on the markets growth in terms of revenue (in US$ Bn), across different geographies, which includes Asia Pacific (APAC), Latin America (LATAM), North America, Europe, and Middle East & Africa (MEA).
The market overview section of the report showcases the markets dynamics and trends such as the drivers, restraints, and opportunities that influence the current nature and future status of this market. Moreover, the report provides the overview of various strategies and the winning imperatives of the key players in the artificial intelligence market and analyzes their behavior in the prevailing market dynamics.
The report segments the global artificial intelligence market on the types of artificial intelligence systems into artificial neural network, digital assistance system, embedded system, expert system, and automated robotic system. By application, the market has been classified into deep learning, smart robots, image recognition, digital personal assistant, querying method, language processing, gesture control, video analysis, speech recognition, context aware processing, and cyber security. Thus, the report provides in-depth cross-segment analysis for the artificial intelligence market and classifies it into various levels, thereby providing valuable insights on macro as well as micro level.
The report also provides the competitive landscape for the artificial intelligence market, thereby positioning all the major players according to their geographic presence, market attractiveness and recent key developments. The complete artificial intelligence market estimates are the result of our in-depth secondary research, primary interviews, and in-house expert panel reviews. These market estimates have been analyzed by taking into account the impact of different political, social, economic, technological, and legal factors along with the current market dynamics affecting the artificial intelligence markets growth.
QlikTech International AB, MicroStrategy Inc., IBM Corporation, Google, Inc., Brighterion Inc., Microsoft Corporation, IntelliResponse Systems Inc., Next IT Corporation, Nuance Communications, and eGain Corporation are some of the major players which have been profiled in this study. Details such as financials, business strategies, recent developments, and other such strategic information pertaining to these players has been provided as part of company profiling.
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