FACEBOOK MASTERMIND - REVIEWS

.

When talking about artificial intelligence and machine learning, public knowledge lands somewhere between understanding computers and getting information from a Tom Cruise movie.
There's a lot of misinformation and misunderstanding around what computers can and can't do. Unfortunately, while artificial intelligence might not be as sensational as a summer blockbuster, it's just as exciting in the market research industry.
How Web Data Extraction Services Will Save Your Time and Money by Automatic Data Collection by Rahul A Panchal
Data scrape is the process of extracting data from the web, by using software program from proven website only. Extracted data anyone can use for any purposes as per the desires in various industries as the web having every important data of the world. We provide best of the web data extracting software.
How Web Data Extraction Services Will Save Your Time and Money by Automatic Data Collection
Data scrape is the process of extracting data from, web, by using software program from proven website only. Extracted data anyone can use for any purposes as per the desires in various industries as the web having every important data of the world. We providebest of the web data extracting software. We have the expertise and one, of kind knowledge in web data extraction, image scraping, screen scraping, email extract services, data mining, web grabbing.
Who can use Data Scraping Services?
Data scraping and extraction services can be used by any organization, company, or any firm who would like to have a data from particular industry, data of targeted customer, particular company, or anything which is available on net like data of email id, website, name, search term or anything which is available on web. Most of time a marketing company like to use data scraping and data extraction services to do marketing for a particular product in certain industry and to reach the targeted customer for example if X company like to contact a restaurant of California city, so our software can extract the data of restaurant of California city and a marketing company can use this data to market their restaurant kind of product. MLM and Network marketing company also use data extraction and data scraping services to to find a new customer by extracting data ofcertain prospective customer and can contact customer by telephone, sending a postcard, email marketing, and this way they build their huge network and build large group for their own product and company.
We helped many companies to find particular data as per their need for example.
Web-Data Extraction
Web pages are built using text-based markup languages (HTML and XHTML), and frequently contain a wealth of useful data in text form. However, most web pages are designed for human end-users and not for ease of automated use. Because of this, tool-kits that scrape web content were created. A web scraper is an API to extract data from a website. We help you to create a kind of API which helps you to scrape data as per your need. We provide quality and affordable web Data Extraction application
Data Collection
Normally, data transfer between programs is accomplished using info structures suited for automated processing by computers, not people. Such interchange formats and protocols are typically rigidly structured, well-documented, easily parsed, and keep ambiguity to a minimum. Very often, these transmissions are not human-readable at all. That's why the key element that distinguishes data scraping from regular parsing is that the output being scraped was intended for display to an end-user.
Email Extractor
A tool which helps you to extract the email ids from any reliable sources automatically that is called an email extractor. It basically services the function of collecting business contacts from various web pages, HTML files, text files or any other format without duplicates email ids.
Screen scrapping
Screen scraping referred to the practice of reading text information from a computer display terminal's screen and collecting visual data from a source, instead of parsing data as in web scraping.
Data Mining Services
Data Mining Services is the process of extracting patterns from information. Data mining is becoming an increasingly important tool to transform the data into information. Any format including MS excels, CSV, HTML and many such formats according to your requirements.
Web spider
A Web spider is a computer program that browses the World Wide Web in a methodical, automated manner or in an orderly fashion. Many sites, in particular, search engines, use spidering as a means of providing up-to-date data.
Web Grabber
Web grabber is just another name of the data scraping or data extraction.
Web Bot
Web Bot is software, programs that claimed to be able to predict future events by tracking keywords entered on the Internet. Web bot software is the best program to pull out articles, blog, relevant website content and many such website related data We have worked with many clients for data extracting, data scraping and data mining they are really happy with our services we provide very quality services and make your work data work very easy and automatic.
For any kind of web data Extraction [http://www.scrapingmaster.com/web-data-extraction.html] Services feel free to visit expert's website [http://www.scrapingmaster.com]
Article Source: [http://EzineArticles.com/?How-Web-Data-Extraction-Services-Will-Save-Your-Time-and-Money-by-Automatic-Data-Collection&id=5159023] How Web Data Extraction Services Will Save Your Time and Money by Automatic Data Collection

Artificial Intelligence - Journal - Elsevier

Artificial Intelligence, which commenced publication in 1970, is now the generally accepted premier international forum for the publication of...

How Artificial Intelligence Is Changing Science | Quanta Magazine

3 days ago - The deluge has many scientists turning to artificial intelligence for help. With minimal human input, AI systems such as artificial neural networks ...

Artificial Intelligence

Artificial Intelligence Will Change Human So Society So Profoundly Humans Will Stop Thinking
By [http://EzineArticles.com/expert/Lance_Winslow/5306]Lance Winslow

Artificial Intelligence will out think, out innovate, and our strategize humans at all levels. One of the biggest challenges in the clash between AI and humans when it comes to innovation and human intellect - consider this; In the future Artificial Intelligence will be running our society and civilization with the most expedient and efficient methods and processes. Humans will be expected to follow these new norms that the AI systems have created simply because they are deemed to be the very best strategies for the most optimum gain.

The number of potential answers for everything, every question that is, will be reduced to one best answer, with exact answers for slight derivations which will also have a single right answer. Humans will be expected to trust AI answers over their own thoughts and reason, thus, humans will eventually stop thinking and reasoning - losing the ability to come up with novel ideas and concepts or new solutions to problems all together. Just as domesticated animals have smaller brains than their wild animal counterparts with the same exact genetic sequence - when it comes to the brain; you use it or lose it.

Just as in tennis, the game is won with the safest and best percentage shots, not necessarily the trick shots - AI will lean towards and be bias towards the percentage shots, as it is a probability based system. Humans may be good at the tricky solutions to problems now and again, but eventually the master of society and civilization's chess board will be artificial intelligence, not inferior human intelligence

Those humans who are involved in the programming and fine-tuning of AI, in the beginning, will retain their abilities to solve problems and come up with unique original thoughts by working with AI as a team, combining the best of AI and human thought and insight.But alas, eventually, AI will fine tune itself and humans will not be required to think at all. AI will learn the best that human brains have to offer and already know that information, thus, not requiring further human input.

So is 'ignorance bliss' - hard to say, but we may find out as a species soon enough if this forward progression of technology and innovative human thought continues on the current course. This isn't science fiction - it's what we've already set into motion. Artificial Intelligence isn't good or bad, but one could argue it's mostly good. Think about this.

Lance Winslow has launched a new provocative series of eBooks on [http://www.amazon.com/s/ref=sr_il_ti_digital-text?rh=n%3A133140011%2Ck%3ALance+Winslow%5Cc&keywords=Lance+Winslow%2C&ie=UTF8&qid=1359796846&lo=digital-text#/ref=nb_sb_noss?url=search-alias%3Ddigital-text&field-keywords=Lance+Winslow%2Cfuture+concepts&lo=digital-text&rh=n%3A133140011%2Ck%3ALance+Winslow%5Ccfuture+concepts]Future Concepts. Lance Winslow is a retired Founder of a Nationwide Franchise Chain, and now runs the Online Think Tank; http://www.worldthinktank.net

Article Source: [http://EzineArticles.com/?Artificial-Intelligence-Will-Change-Human-So-Society-So-Profoundly-Humans-Will-Stop-Thinking&id=10003958] Artificial Intelligence Will Change Human So Society So Profoundly Humans Will Stop Thinking

Ezworksystem Opportunities

Napoleon Hill, a Great Depression-era author

------------------------------------------------

Good habits that can change your life...Healthy EatingHealthy EatingRest, particularly sleep works to restore willpower...One of the interesting findings of recent studies is what has been called The Oprah Paradox; even people with very strong willpower have difficulty dieting...

Learn how life on Earth is really meant to be lived! We here at (LeadersBasement) have compiled the world's greatest minds, masters and teachers throughout the ages to educate you in all aspects of life. Our vision is to Inspire 1 Million people using these simple Universal Laws and tools that have changed my life. It is our goal to help you become successful and financially free to live the life you deserve. We feature Authors such as Abram Hicks, Ester Hicks, Jerry Hicks, Neville Goddard, James Allen, Bob Proctor, Leslie Brown, DR. JOSEPH MURPHY, Wayne Dyer and Zig Ziglar. Like this video? In my free course, I go into more training. You NEED an audience to promote things to build it up over time. You can get started DAY ONE creating content but you need a way to post it on social media. (no blog, no podcast, also make money from ads at the same time) FREE Course on passive income on social media.https://bit.ly/2F5wkgG


https://weheartit.com/articles -REVIEWS
to LEARN MORE VISIT SITE... https://bitly.com/
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WordPress
some businesses need a lot more features. That’s where Wordpress comes in. Wordpress powers 29% of the world’s websites. It’s a feature-rich platform that is completely customizable. Wordpress is a solid choice if you need a lot of custom features on your website to support your business.
Ghost
Squarespace
Squarespace is a great choice for almost any business site. It has award-winning templates that make it easy to create a custom site in no time and a drag-and-drop site editor to keep things simple. It’s hard to make a terrible website with Squarespace.Shopify is the best platform to sell your physical products both online or in-person. You can have a great looking store live in hours with your products loaded and ready to sell. Shopify also makes it easy to sell on other channels with a few clicks including Amazon, Etsy, Facebook, Pinterest, and eBay. And if the basic features aren’t enough, the Shopify App Store has custom apps for any feature you can imagine.
Instagram-vs-Snapchat
Instagram-vs-Snapchat Achieving Greatness One Day at a Time...Creating the right good habits and eliminating damaging bad habits is a life changer... Head over to (it's FREE! (netboard.me)

------------------------------------------------

Artificial Intelligence

artificial intelligence futureartificial intelligence examplesapplications of artificial intelligenceadvantages of artificial intelligence
artificial intelligence articleartificial intelligence pros and consartificial intelligence pdfartificial intelligence benefits to society
_______________________________________
Data mining,
Machine learning,
data mining
--- Software
- Free open-source data mining software and applications
- Commercial data-mining software and applications
Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD), an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets ("big data") involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.
The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.
The term is a misnomer because the goal is the extraction of patterns and knowledge from large, amount, of data, not the extraction of data itself. It also is a buzzword and is frequently applied to any form of large-scale data or information processing (collection, extraction, warehousing, analysis, and statistics) as well as any application of computer decision support system, including artificial intelligence, machine learning, and business intelligence.
The popular book "Data mining: Practical machine learning tools and techniques with Java" (which covers mostly machine learning material) was the Originally to be named just "Practical machine learning", and the term "data mining" was only added for marketing; reasons. Often the more general terms "(large scale) data analysis", or "analytics" – or when referring to actual methods, artificial intelligence and machine learning – are more appropriate.
The actual data mining task is the automatic or semi-automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection), and dependencies (association rule mining). This usually involves using database techniques such as spatial indices. These patterns can then be seen as a kind of summary of the input data, and may be used in further analysis or, for example, in machine learning and predictive analytics. For example, the data mining step might identify multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system. Neither the data collection, data preparation, nor result interpretation and reporting is part of the data mining step, but do belong to the overall KDD process as additional steps.
The related terms data dredging, data fishing, and data snooping refer to the use of data mining methods to sample parts of a larger population data set that are (or may be) too small for reliable statistical inferences to be made about the validity of any patterns discovered. These methods can, however, be used in creating new hypotheses to test against the larger data populations.
Contents ==>
- Etymology
Etymology ==>
In the 1960s, statisticians used terms like "Data Fishing" or "Data Dredging" to refer to what they considered the bad practice of analyzing data without an apriori hypothesis. The term "Data Mining" appeared around 1990 in the database community. For a short time in 1980's, a phrase "database mining"™, was used, but since it was trademarked by HNC, a
San Diego-based company, to pitch their Database Mining Workstation; researchers consequently turned to "data mining". Other terms used include Data Archaeology, Information Harvesting, Information Discovery, Knowledge Extraction, etc. Gregory Piatetsky-Shapiro coined the term "Knowledge Discovery in Databases" for the first workshop on the same topic (KDD-1989) and this term became more popular in AI and Machine Learning Community. However, the term data mining became more popular in the business and press communities. Currently, Data Mining and Knowledge Discovery are used interchangeably. Since about 2007, "Predictive Analytics" and since 2011, "Data Science" terms were also used to describe this field.
Background ==>
The manual extraction of patterns from data has occurred for centuries. Early methods of identifying patterns in data include Bayes' theorem 1700's, and regression analysis 1800's. The proliferation, ubiquity and increasing power, of computer technology has dramatically increased data collection, storage, and manipulation ability. As data sets have grown in size and complexity, direct "hands-on" data analysis has increasingly been augmented with indirect, automated data processing, aided by other discoveries in computer science, such as neural networks, cluster analysis, genetic algorithms (1950s), decision trees and decision rules (1960s), and support vector machines (1990s).
Data mining is the process of applying these methods with the intention of uncovering hidden patterns in large data sets. It bridges the gap from applied statistics and artificial intelligence (which usually provide the mathematical background) to database management by exploiting the way data is stored and indexed in databases to execute the actual learning and discovery algorithms more efficiently, allowing such methods to be applied to ever larger data sets.
the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining (SIGKDD). Since 1989, this ACM SIG has hosted an annual international conference and published its proceedings, and since 1999 it has published a biannual academic journal titled "SIGKDD Explorations".
==> Computer science conferences on data mining include:
CIKM Conference – ACM Conference on Information and Knowledge Management
DMIN Conference – International Conference on Data Mining
DMKD Conference – Research Issues on Data Mining and Knowledge Discovery
ECDM Conference – European Conference on Data Mining
ECML-PKDD Conference – European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
EDM Conference – International Conference on Educational Data Mining
The final step of knowledge discovery from data is to verify that the patterns produced by the data mining algorithms occur in the wider data set. Not all patterns found by the data mining algorithms are necessarily valid. It is common for the data mining algorithms to find patterns in the training set which are not present in the general data set. This is called overfitting. To overcome this, the evaluation uses a test set of data on which the data mining algorithm was not trained. The learned patterns are applied to this test set, and the resulting output is compared to the desired output.
Results validation ==>
Data mining can unintentionally be misused, and can then produce results which appear to be significant; but which do not actually predict future behavior and cannot be reproduced on a new sample of data and bear little use. Often this results from investigating too many hypotheses and not performing proper statistical hypothesis testing. A simple version of this problem in machine learning is known as overfitting, but the same problem can arise at different phases of the process and thus a train/test split - when applicable at all - may not be sufficient to prevent this from happening.
Association rule learning (Dependency modeling) – Searches for relationships between variables. For example, a supermarket might gather data on customer purchasing habits. Using association rule learning, the supermarket can determine which products are frequently bought together and use this information for marketing purposes. This is sometimes referred to as market basket analysis.
Clustering – is the task of discovering groups and structures in the data that are in some way or another "similar"
Results validation ==>
Data mining can unintentionally be misused, and can then produce results which appear to be significant; but which do not actually predict future behavior and cannot be reproduced on a new sample of data and bear little use. Often this results from investigating too many hypotheses and not performing proper statistical hypothesis testing. A simple version of this problem in machine learning is known as overfitting, but the same problem can arise at different phases of the process and thus a train/test split - when applicable at all - may not be sufficient to prevent this from happening.
Data mining requires data preparation which can uncover information or patterns which may compromise confidentiality and privacy obligations. A common way for this to occur is through data aggregation. Data aggregation involves combining data together (possibly from various sources) in a way that facilitates analysis (but that also might make identification of private, individual-level data deductible or otherwise apparent).
This is not data mining per se, but a result of the preparation of data before – and for the purposes of – the analysis. The threat to an individual's privacy comes into play when the data, once compiled, cause the data miner, or anyone who has access to the newly compiled data set, to be able to identify specific individuals, especially when the data were originally anonymous.
It is recommended that an individual is made aware of the following before data are collected:
the purpose of the data collection and any (known) data mining projects;
how the data will be used;
who will be able to mine the data and use the data and their derivatives;
the status of security surrounding access to the data;
how collected data can be updated.
Data may also be modified so as to become anonymous so that individuals may not readily be identified. However, even "de-identified"/"anonymized" data sets can potentially contain enough information to allow identification of individuals, as occurred when journalists were able to find several individuals based on a set of search histories that were inadvertently released by AOL.
If the learned patterns do not meet the desired standards, subsequently it is necessary to re-evaluate and change the pre-processing and data mining steps. If the learned patterns do meet the desired standards, then the final step is to interpret the learned patterns and turn them into knowledge.

Artificial intelligence

Field of study

Description

In computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans -

Artificial Intelligence Will Change Human So Society So Profoundly Humans Will Stop Thinking

Artificial Intelligence will out think, out innovate, and our strategize humans at all levels. One of the biggest challenges in the clash between AI and humans when it comes to innovation and human intellect - consider this; In the future Artificial Intelligence will be running our society and civilization with the most expedient and efficient methods and processes. Humans will be expected to follow these new norms that the AI systems have created simply because they are deemed to be the very best strategies for the most optimum gain.Computers and Technology • Published: September 5, 2018
The modern definition of artificial intelligence (or AI) is "the study and design of intelligent agents" where an intelligent agent is a system that perceives its ...

Artificial intelligence

Field of study

Description

In computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans -



How Business Can benefit from Data Mining - Data mining is widely used to gather knowledge in all industries... use of both digital and physical data to drive their business processes. Data mining is a computational process used to discover patterns in large data sets. These sources include the following:
1.) Website Data Mining: When launching a new product or services online, the need to conduct a market research usually drives the need for mining websites for relevant data to simplify your research effort. Therefore, mining data from websites simply means the use of research tools to get relevant data from websites, e-commerce stores, online journals etc.
2.) Social Media Data Mining: Today’s most popular means of communication is also one of the most important sources available for researchers. Data mining companies use social media to get the required information to drive their market/organizational analysis.
3.) Business Data Mining: Competing businesses and organizations get data from company records on their working personnel or business processes for use in their own business research. Excel or Document Mining: When searching for data on the web, focus should be placed on getting relevant documents—such as Excel, Ms, Word and PDF files—with information or data on the topic of your research.

4.) Resume Information Mining: Resumes of job applicants can tell you a lot about human resources, filling up job applications or posting job opportunities for the general public. Therefore streamlining your mining effort to include resume research is a sure way of getting more balanced information about a particular subject.

5.) Music Mining: Other sources for dredging up data such as music mining, visual mining, and sensor mining also exist and are used for more specific organizational needs

The benefits of Data Mining gives businesses a decisive competitive edge. We've all heard the old adage that knowledge is power. Vast amounts of information from diverse sources - aka "big data" - hold a huge treasure trove of hidden potential.


==> Data mining is about analyzing data; for information about extracting information out of data,

When talking about artificial intelligence and machine learning, public knowledge lands somewhere between understanding computers and getting information from a Tom Cruise movie.
There's a lot of misinformation and misunderstanding around what computers can and can't do. Unfortunately, while artificial intelligence might not be as sensational as a summer blockbuster, it's just as exciting in the market research industry.
How Web Data Extraction Services Will Save Your Time and Money by Automatic Data Collection by Rahul A Panchal
Data scrape is the process of extracting data from the web, by using software program from proven website only. Extracted data anyone can use for any purposes as per the desires in various industries as the web having every important data of the world. We provide best of the web data extracting software.
How Web Data Extraction Services Will Save Your Time and Money by Automatic Data Collection
Data scrape is the process of extracting data from, web, by using software program from proven website only. Extracted data anyone can use for any purposes as per the desires in various industries as the web having every important data of the world. We providebest of the web data extracting software. We have the expertise and one, of kind knowledge in web data extraction, image scraping, screen scraping, email extract services, data mining, web grabbing.
Who can use Data Scraping Services?
Data scraping and extraction services can be used by any organization, company, or any firm who would like to have a data from particular industry, data of targeted customer, particular company, or anything which is available on net like data of email id, website, name, search term or anything which is available on web. Most of time a marketing company like to use data scraping and data extraction services to do marketing for a particular product in certain industry and to reach the targeted customer for example if X company like to contact a restaurant of California city, so our software can extract the data of restaurant of California city and a marketing company can use this data to market their restaurant kind of product. MLM and Network marketing company also use data extraction and data scraping services to to find a new customer by extracting data ofcertain prospective customer and can contact customer by telephone, sending a postcard, email marketing, and this way they build their huge network and build large group for their own product and company.
We helped many companies to find particular data as per their need for example.
Web-Data Extraction
Web pages are built using text-based markup languages (HTML and XHTML), and frequently contain a wealth of useful data in text form. However, most web pages are designed for human end-users and not for ease of automated use. Because of this, tool-kits that scrape web content were created. A web scraper is an API to extract data from a website. We help you to create a kind of API which helps you to scrape data as per your need. We provide quality and affordable web Data Extraction application
Data Collection
Normally, data transfer between programs is accomplished using info structures suited for automated processing by computers, not people. Such interchange formats and protocols are typically rigidly structured, well-documented, easily parsed, and keep ambiguity to a minimum. Very often, these transmissions are not human-readable at all. That's why the key element that distinguishes data scraping from regular parsing is that the output being scraped was intended for display to an end-user.
Email Extractor
A tool which helps you to extract the email ids from any reliable sources automatically that is called an email extractor. It basically services the function of collecting business contacts from various web pages, HTML files, text files or any other format without duplicates email ids.
Screen scrapping
Screen scraping referred to the practice of reading text information from a computer display terminal's screen and collecting visual data from a source, instead of parsing data as in web scraping.
Data Mining Services
Data Mining Services is the process of extracting patterns from information. Data mining is becoming an increasingly important tool to transform the data into information. Any format including MS excels, CSV, HTML and many such formats according to your requirements.
Web spider
A Web spider is a computer program that browses the World Wide Web in a methodical, automated manner or in an orderly fashion. Many sites, in particular, search engines, use spidering as a means of providing up-to-date data.
Web Grabber
Web grabber is just another name of the data scraping or data extraction.
Web Bot
Web Bot is software, programs that claimed to be able to predict future events by tracking keywords entered on the Internet. Web bot software is the best program to pull out articles, blog, relevant website content and many such website related data We have worked with many clients for data extracting, data scraping and data mining they are really happy with our services we provide very quality services and make your work data work very easy and automatic.
For any kind of web data Extraction [http://www.scrapingmaster.com/web-data-extraction.html] Services feel free to visit expert's website [http://www.scrapingmaster.com]
Article Source: [http://EzineArticles.com/?How-Web-Data-Extraction-Services-Will-Save-Your-Time-and-Money-by-Automatic-Data-Collection&id=5159023] How Web Data Extraction Services Will Save Your Time and Money by Automatic Data Collection




Artificial Intelligence - Journal - Elsevier

Artificial Intelligence, which commenced publication in 1970, is now the generally accepted premier international forum for the publication of...

How Artificial Intelligence Is Changing Science | Quanta Magazine

3 days ago - The deluge has many scientists turning to artificial intelligence for help. With minimal human input, AI systems such as artificial neural networks ...

Artificial Intelligence



Artificial Intelligence Will Change Human So Society So Profoundly Humans Will Stop ThinkingBy [http://EzineArticles.com/expert/Lance_Winslow/5306]Lance Winslow

Artificial Intelligence will out think, out innovate, and our strategize humans at all levels. One of the biggest challenges in the clash between AI and humans when it comes to innovation and human intellect - consider this; In the future Artificial Intelligence will be running our society and civilization with the most expedient and efficient methods and processes. Humans will be expected to follow these new norms that the AI systems have created simply because they are deemed to be the very best strategies for the most optimum gain.

The number of potential answers for everything, every question that is, will be reduced to one best answer, with exact answers for slight derivations which will also have a single right answer. Humans will be expected to trust AI answers over their own thoughts and reason, thus, humans will eventually stop thinking and reasoning - losing the ability to come up with novel ideas and concepts or new solutions to problems all together. Just as domesticated animals have smaller brains than their wild animal counterparts with the same exact genetic sequence - when it comes to the brain; you use it or lose it.

Just as in tennis, the game is won with the safest and best percentage shots, not necessarily the trick shots - AI will lean towards and be bias towards the percentage shots, as it is a probability based system. Humans may be good at the tricky solutions to problems now and again, but eventually the master of society and civilization's chess board will be artificial intelligence, not inferior human intelligence

Those humans who are involved in the programming and fine-tuning of AI, in the beginning, will retain their abilities to solve problems and come up with unique original thoughts by working with AI as a team, combining the best of AI and human thought and insight.But alas, eventually, AI will fine tune itself and humans will not be required to think at all. AI will learn the best that human brains have to offer and already know that information, thus, not requiring further human input.

So is 'ignorance bliss' - hard to say, but we may find out as a species soon enough if this forward progression of technology and innovative human thought continues on the current course. This isn't science fiction - it's what we've already set into motion. Artificial Intelligence isn't good or bad, but one could argue it's mostly good. Think about this.

Lance Winslow has launched a new provocative series of eBooks on [http://www.amazon.com/s/ref=sr_il_ti_digital-text?rh=n%3A133140011%2Ck%3ALance+Winslow%5Cc&keywords=Lance+Winslow%2C&ie=UTF8&qid=1359796846&lo=digital-text#/ref=nb_sb_noss?url=search-alias%3Ddigital-text&field-keywords=Lance+Winslow%2Cfuture+concepts&lo=digital-text&rh=n%3A133140011%2Ck%3ALance+Winslow%5Ccfuture+concepts]Future Concepts. Lance Winslow is a retired Founder of a Nationwide Franchise Chain, and now runs the Online Think Tank; http://www.worldthinktank.net

Article Source: [http://EzineArticles.com/?Artificial-Intelligence-Will-Change-Human-So-Society-So-Profoundly-Humans-Will-Stop-Thinking&id=10003958] Artificial Intelligence Will Change Human So Society So Profoundly Humans Will Stop Thinking





Learn how life on Earth is really meant to be lived! We here at (LeadersBasement) have compiled the world's greatest minds, masters and teachers throughout the ages to educate you in all aspects of life. Our vision is to Inspire 1 Million people using these simple Universal Laws and tools that have changed my life. It is our goal to help you become successful and financially free to live the life you deserve. We feature Authors such as Abram Hicks, Ester Hicks, Jerry Hicks, Neville Goddard, James Allen, Bob Proctor, Leslie Brown, DR. JOSEPH MURPHY, Wayne Dyer and Zig Ziglar. Like this video? In my free course, I go into more training. You NEED an audience to promote things to build it up over time. You can get started DAY ONE creating content but you need a way to post it on social media. (no blog, no podcast, also make money from ads at the same time) FREE Course on passive income on social media.https://bit.ly/2F5wkgG


https://weheartit.com/articles -REVIEWS
to LEARN MORE VISIT SITE... https://bitly.com/
Related search
best website blogs
Tumblr
Blogger
WordPress
some businesses need a lot more features. That’s where Wordpress comes in. Wordpress powers 29% of the world’s websites. It’s a feature-rich platform that is completely customizable. Wordpress is a solid choice if you need a lot of custom features on your website to support your business.
Ghost
Squarespace
Squarespace is a great choice for almost any business site. It has award-winning templates that make it easy to create a custom site in no time and a drag-and-drop site editor to keep things simple. It’s hard to make a terrible website with Squarespace.Shopify is the best platform to sell your physical products both online or in-person. You can have a great looking store live in hours with your products loaded and ready to sell. Shopify also makes it easy to sell on other channels with a few clicks including Amazon, Etsy, Facebook, Pinterest, and eBay. And if the basic features aren’t enough, the Shopify App Store has custom apps for any feature you can imagine.
Instagram-vs-Snapchat
Instagram-vs-Snapchat Achieving Greatness One Day at a Time...Creating the right good habits and eliminating damaging bad habits is a life changer... Head over to (it's FREE! (netboard.me)

------------------------------------------------

Artificial Intelligence