Showing posts with label artificial. Show all posts
Showing posts with label artificial. Show all posts

Algorithms the Basis of Artificial Intelligence Make Biased Decisions

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Programmers have biases and they create AI software. consequently, so called smart machines are faulty. ➽ Algorithms i the i Basis i of i Artificial i Intelligence i Make i Biased i Decisions i data i bias i company ➽ ▶ Algorithms h the h Basis h of h Artificial h Intelligence h Make h Biased h Decisions h data h bias h company h humans h hiring h business ▶ ⬢ Algorithms g the g Basis g of g Artificial g Intelligence g Make g Biased g Decisions g data g bias g company g humans g hiring g business g people g female g algorithm ⬢ ✿ Algorithms f the f Basis f of f Artificial f Intelligence f Make f Biased f Decisions f data f bias f company f humans f hiring f business f people f female f algorithm f process f making f women f simply ✿ ⧭ Algorithms e the e Basis e of e Artificial e Intelligence e Make e Biased e Decisions e data e bias e company e humans e hiring e business e people e female e algorithm e process e making e women e simply e candidates e models e outcomes e good e machine e learning e o’neil e companies ⧭ ▩ Algorithms d the d Basis d of d Artificial d Intelligence d Make d Biased d Decisions d data d bias d company d humans d hiring d business d people d female d algorithm d process d making d women d simply d candidates d models d outcomes d good d machine d learning d o’neil d companies d broader d manager d world d applicants d learn d words d candidate d math d management d talent d apply d job d based d language d human d time d reveal d organizations ▩ ⏏ Algorithms c the c Basis c of c Artificial c Intelligence c Make c Biased c Decisions c data c bias c company c humans c hiring c business c people c female c algorithm c process c making c women c simply c candidates c models c outcomes c good c machine c learning c o’neil c companies c broader c manager c biases c world c applicants c learn c words c candidate c math c management c talent c apply c job c based c language c human c time c reveal c organizations c potential c increasingly c mathematical c patterns c banks c design c train c issue c postings c gender c sophisticated c find c social c input c baldridge c cognitive c recommendations c address c transparency c support c alert c complex ⏏ ⦿ Algorithms b the b Basis b of b Artificial b Intelligence b Make b Biased b Decisions b data b bias b company b humans b hiring b business b people b female b algorithm b process b making b women b simply b candidates b models b outcomes b good b machine b learning b o’neil b companies b broader b manager b biases b world b applicants b learn b words b candidate b math b management b talent b apply b job b based b language b human b time b reveal b organizations b potential b increasingly b mathematical b patterns b banks b design b train b issue b postings b gender b sophisticated b find b social b input b baldridge b cognitive b recommendations b address b transparency b create b support b alert b complex b sense b fact b suitable b information b talk b amounts b simple b markets b conscious b objective b assumptions b future b decision b objectively b hope b assumption b decision-making b counter b current b pattern b demographics b variables b demographic b code b drive b book b mind b standards b leader b free b discriminatory b feed b engineer b haystack b suited b unconscious b discrimination b professors b black b race b improve b spotting b predictive b modeling b determine b point b qualified b cost b context b set b accurate b relevant b trained b company’s b sources b analyze b media b deliberate b standard b english b slang b word b sick b takes b obvious b attention b avoid b positive b impact b benefits b analytics b technology b schubmehl b users b knowing b legally b fair b competitive b research b fairness b program b university b step b industry b ensure b eliminate b groups b scientists b risk b evaluate ⦿ ∎ Algorithms a the a Basis a of a Artificial a Intelligence a Make a Biased a Decisions ➤ XXXXXXXXXX ➤ a humans a hiring a business a people a female a algorithm a process a making a women a simply a candidates a models a outcomes a good a machine a learning a o’neil a companies a broader a manager a biases a world a applicants a learn a words a candidate a math a management a talent a apply a job a based a language a human a time a reveal a organizations a potential a increasingly a mathematical a patterns a banks a design a train a issue a postings a gender a sophisticated a find a social a input a baldridge a cognitive a recommendations a address a transparency a create a support a alert a complex a sense a fact a suitable a information a talk a amounts a simple a markets a conscious a objective a assumptions a future a decision a objectively a hope a assumption a decision-making a counter a current a pattern a demographics a variables a demographic a code a drive a book a mind a standards a leader a free a discriminatory a feed a engineer a haystack a suited a unconscious a discrimination a professors a black a race a improve ➤ a data a bias a company ➤ a spotting a predictive a modeling a determine a point a qualified a cost a context a set a accurate a relevant a trained a company’s a sources a analyze a media a deliberate a standard a english a slang a word a sick a takes a obvious a attention a avoid a positive a impact a benefits a analytics a technology a schubmehl a users a knowing a legally a fair a competitive a research a fairness a program a university a step a industry a ensure a eliminate a groups a scientists a risk a evaluate ∎
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Household Robots Not Here Yet

technology
SOCIOLOGY
Despite the advances in artificial intelligence, useful robots are a long way off. Humans can do limitless things, whereas robots can only do one thing well. They cannot have the broad perspective. So don't hope to have a "Maisy who washes the dishes and cleans the house anytime soon.
Businesses want to profit from new technology. However, adapting quickly to advances in artificial intelligence is difficult. The business that shows the way will be the winner. Those who follow will have to pick up the scraps. The leading business will have moved on to something else.

The time is approaching when the first damaging, even fatal, decision is made by a computer. It could be a major disaster. Artificial intelligence is not sentient: it does not feel any harm it does. Machines can now learn both good and bad. To a computer everything is equal. Give a robot a conscience - that will be a great leap forward!
 Technology by Ty Buchanan 
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Saccharin to Treat Cancer

Are you sweet enough? Maybe you are if you use saccharin. But wait! Are there other uses that this comforter can be used for? Scientists believe that it could treat cancer. The saccharin molecule deactivates carbonic anhydrase IX, a protein in aggressive cancers.
Sweet saccharin to treat aggressive cancers
Carbonic anydrase IX regulates PH so that cancer can more easily spread through the body. It is hoped that saccharin can change the PH level. If it is not at an optimum level the cancer can be successfully treated with radiation and chemo therapy.

Healthy tissues, except for the gastrointestinal tract, have no carbonydrase anydrose IX. Other carbonic anydrase proteins are there though. Molecules tested before blocked similar carbonic anydrase proteins which are present to make the body work. By tweaking the saccharin molecule it was discovered that it does not affect helpful anhydrase proteins.

Tests have begun on liver and breast cancer. These are currently on animals. If the research is successful work on humans will open a new road to treating aggressive cancers.
Chemistry by Ty Buchanan
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Artificial Insemination of Budgies

Artificial insemination is common these days particularly to produce better animals for meat in the market. Cattle, sheep and even horse insemination could be said to a be the norm. Higher quality animals is the goal. Should artificial insemination be used to improve animals kept as a hobby?

Breeding show budgies is taken very seriously by many people, so much so that widespread "cheating" takes place. Clipping of cheek patches is not allowed but it is still sneakily done. High quality show winners are usually produced by putting fertile eggs from good birds under "sitters", common budgies with a better breeding instinct.

Michael Pace went to extremes to breed his prizewinner in the opaline class at the Australian National Budgerigar Championships. He practiced artificial insemination in his own way. A capillary tube was used to extract sperm from the male which was then inserted into the female within six hours. A lot of hit-and-miss took place. It took four years to breed the show winner.
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Conservation
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Imaging More Advanced Than MRI

The MRI was the most advanced way of diagnosing what patients were suffering from. It was cutting edge technology that gave very detailed images of the human body. Technology moves forward and advances are made.

Macquarie University with CSIC and the Institute of Photonic Sciences (ICFO) have found a way of producing images even clearer than MRI. It is done by using artificial atoms and nitrogen doped diamond nanoparticles. Extremely weak magnetic fields in the human body can now be detected. MRI resolution is millimetric. The new system "sees" down to a millionth of a millimeter.

This technique is not invasive. It will provide an understanding of intracellular processes. The problem with the new diagnostic system is that very temperatures are required to make it work. Artificial atoms are encapsulated in a diamond crystal. They can be manipulated by lasers, dragging atoms above the surface for medical diagnosis.
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Health
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Breakthrough in Artifical Intelligence

For a century now people have been assuming that robots will arrive and become commonplace in the home.  Manufacturing has its industrial robots but helping robots in the home have not become reality.  The problem is not so much being able to construct the physical aspects of a robot, it is the intelligence, the "brain", that is the big issue.

By doing 25,000 runs on a computer to build up experience, it was found that biological intelligence was structure into a network of modules.  This is a breakthrough finding for artificial intelligence.  Modules means alternatives can be chosen to meet a problem.  This is what makes humans and animals so difficult to understand.

Apparently, all things evolve via modules.  Such networks have not solely appeared out of intellectual necessity.  Modules can be joined together with shorter network connections, using less to make more.  Evolution is not wasteful. 

In the computer simulation, once a cost for network connections was added modules were formed.  Without the cost variable, there was no order to the simulation.  In animals modules are seen in the brain, metabolic networks, gene regulation, protein-protein interaction and the vascular system.  Even the Internet is modular.
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Society
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New Super Strong Nanotube 'Muscle' Developed

Superman or indeed cyberman could soon be with us. Artificial muscles that can hold thousands of times their own weight have been invented. The breakthrough has been made by a team from four nations: Australia, Canada, the US and Korea. Carbon nanotubes were first wound into yarn in Australia. This super strong material far exceeds the flexibility of other artificial muscles.

This is not strictly new. It was done several years ago but now work is under way to apply the technology. The yarn is does not yet have enough mass to be used for arm or leg muscles. Ideally, better heart valves, pumps, and positioners could be developed.

The yarn has an interesting property: it can be made into a helical structure that will rotate right or left. Applying an electric charge causes it to spin. This makes it easy to propel a tiny object along in the bloodstream for example. This new discovery could revolutionize medicine.
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Health

Weird Findings About IVF Babies

There has been a weird finding in research done on IVF children - they are taller than average. Work done in New Zealand has found that by six years of age children conceived by IVF are taller. This occurred when fresh embryos were used, but not with frozen embryos. The higher quality of fresh embryos was the apparent reason for this.

No benefits nor disadvantages were seen in children born using frozen embryos than children conceived normally. The real issue is - Are fresh embryos really of higher quality? Donors giving frozen embryos are just as selective.

About one in thirty children are now conceived with IVF. It is girls who are notably taller. Another "weird" outcome is that mainly boys will be conceived if the embryos are left out in a dish for five days before implantation into the uterus.
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