Category Archives: Neural Networks

The Real Threat Posed by Powerful Computers

Description: Elon Musk called artificial intelligence “our greatest existential threat,” and equated making machines that think with “summoning the demon.”

Source: http://www.nytimes.com

Date: July 11, 2015

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But if the human race is at peril from killer robots, the problem is probably not artificial intelligence. It is more likely to be artificial stupidity. The difference between those two ideas says much about how we think about computers.

In the kind of artificial intelligence, or A.I., that most people seem to worry about, computers decide people are a bad idea, so they kill them. That is undeniably bad for the human race, but it is a potentially smart move by the computers.    Read Rest of Story

Questions for discussion:

1.Should ethical standards be put in place before we allow industry to develop A.I. any further? Why or Why Not??

2. What benefits can you see with using A.I. as a company?

3.  If your company decided on a tactic of using A.I.  would it give your firm a competitive advantage?  Explain why or why not?

 

How Companies Can Learn Your Secrets

Description:  “If we wanted to figure out if a customer is pregnant, even if she didn’t want us to know, can you do that? ”

Source: nytimes.com

Date: Feb 16, 2012

the-incredible-story-of-how-target-exposed-a-teen-girls-pregnancy

As the marketers explained to Pole — and as Pole later explained to me, back when we were still speaking and before Target told him to stop — new parents are a retailer’s holy grail. Most shoppers don’t buy everything they need at one store. Instead, they buy groceries at the grocery store and toys at the toy store, and they visit Target only when they need certain items they associate with Target — cleaning supplies, say, or new socks or a six-month supply of toilet paper. But Target sells everything from milk to stuffed animals to lawn furniture to electronics, so one of the company’s primary goals is convincing customers that the only store they need is Target. But it’s a tough message to get across, even with the most ingenious ad campaigns, because once consumers’ shopping habits are ingrained, it’s incredibly difficult to change them.  READ REST OF STORY 

 Questions for discussion:

  1.  Are there any ethical dilemmas to using big data in consumer services?
  2. What other commercial applications can you see for organizations in using big data?
  3. What skill would you need to be able to use Big Data in an organization that you work for?

Your Secrets Companies Can Learn

Description:  “If we wanted to figure out if a customer is pregnant, even if she didn’t want us to know, can you do that? ”

Source: nytimes.com

Date: Feb 16, 2012

the-incredible-story-of-how-target-exposed-a-teen-girls-pregnancy

As the marketers explained to Pole — and as Pole later explained to me, back when we were still speaking and before Target told him to stop — new parents are a retailer’s holy grail. Most shoppers don’t buy everything they need at one store. Instead, they buy groceries at the grocery store and toys at the toy store, and they visit Target only when they need certain items they associate with Target — cleaning supplies, say, or new socks or a six-month supply of toilet paper. But Target sells everything from milk to stuffed animals to lawn furniture to electronics, so one of the company’s primary goals is convincing customers that the only store they need is Target. But it’s a tough message to get across, even with the most ingenious ad campaigns, because once consumers’ shopping habits are ingrained, it’s incredibly difficult to change them.  READ REST OF STORY 

 Questions for discussion:

  1.  Are there any ethical dilemmas to using big data in consumer services?
  2. What other commercial applications can you see for organizations in using big data?
  3. What skill would you need to be able to use Big Data in an organization that you work for?

Can Companies Learn Your Secrets

Description:  “If we wanted to figure out if a customer is pregnant, even if she didn’t want us to know, can you do that? ”

Source: nytimes.com

Date: Feb 16, 2012

the-incredible-story-of-how-target-exposed-a-teen-girls-pregnancy

As the marketers explained to Pole — and as Pole later explained to me, back when we were still speaking and before Target told him to stop — new parents are a retailer’s holy grail. Most shoppers don’t buy everything they need at one store. Instead, they buy groceries at the grocery store and toys at the toy store, and they visit Target only when they need certain items they associate with Target — cleaning supplies, say, or new socks or a six-month supply of toilet paper. But Target sells everything from milk to stuffed animals to lawn furniture to electronics, so one of the company’s primary goals is convincing customers that the only store they need is Target. But it’s a tough message to get across, even with the most ingenious ad campaigns, because once consumers’ shopping habits are ingrained, it’s incredibly difficult to change themREAD REST OF STORY 

 Questions for discussion:

  1.  Are there any ethical dilemmas to using big data in consumer services?
  2. What other commercial applications can you see for organizations in using big data?
  3. What skill would you need to be able to use Big Data in an organization that you work for?

Big Data Explained

Description: Big Data is the next big thing in computing. This video explains Big Data characteristics, technologies and opportunities.

Source: http://www.explainingcomputers.com

Due to the issues raised by its volume, velocity and variety, Big Data requires new technology solutions. Currently leading the field is an open-source project from Apache called Hadoop. This is developing a software library for reliable, scalable, distributed computing systems capable of handling the Big Data deluge, and provides the first viable platform for Big Data analytics. Hadoop is already used by most Big Data pioneers. For example, LinkedIn currently uses Hadoop to generate over 100 billion personalized recommendations every week.

What Hadoop does is to distribute the storage and processing of large data sets across groups or “clusters” of server computers using a simple programming model. The number of servers in a cluster can also be scaled easily as requirements dictate, from maybe 50 machines to perhaps 2000 or more. Whereas traditional large-scale computing solutions rely on expensive server hardware with a high fault tolerance, Hadoop detects and compensates for hardware failures or other system problems at the application level. This allows a high level of service continuity to be delivered from clusters of individual server computers, each of which may be prone to failure. Processing vast quantities of data across large, lower-cost distributed computing infrastructures therefore becomes a viable proposition.     READ REST OF STORY 

Questions for discussion:

1.  What is Big Data and why is it important?

2.  What potential applications do you see for Big Data and in what industries will this add the greatest value?

Explaining Big Data

Description: Big Data is the next big thing in computing. This video explains Big Data characteristics, technologies and opportunities.

Source: http://www.explainingcomputers.com

Date: Jan 16, 2012

Due to the issues raised by its volume, velocity and variety, Big Data requires new technology solutions. Currently leading the field is an open-source project from Apache called Hadoop. This is developing a software library for reliable, scalable, distributed computing systems capable of handling the Big Data deluge, and provides the first viable platform for Big Data analytics. Hadoop is already used by most Big Data pioneers. For example, LinkedIn currently uses Hadoop to generate over 100 billion personalized recommendations every week.

What Hadoop does is to distribute the storage and processing of large data sets across groups or “clusters” of server computers using a simple programming model. The number of servers in a cluster can also be scaled easily as requirements dictate, from maybe 50 machines to perhaps 2000 or more. Whereas traditional large-scale computing solutions rely on expensive server hardware with a high fault tolerance, Hadoop detects and compensates for hardware failures or other system problems at the application level. This allows a high level of service continuity to be delivered from clusters of individual server computers, each of which may be prone to failure. Processing vast quantities of data across large, lower-cost distributed computing infrastructures therefore becomes a viable proposition.     READ REST OF STORY 

Questions for discussion:

1.  What is Big Data and why is it important?

2.  What potential applications do you see for Big Data and in what industries will this add the greatest value?

A Strange Computer Promises Great Speed

Description: Our digital age is all about bits, those precise ones and zeros that are the stuff of modern computer code.

Source: NYTimes.com

Date: March 21, 2013

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A powerful new type of computer that is about to be commercially deployed by a major American military contractor is taking computing into the strange, subatomic realm of quantum mechanics. In that infinitesimal neighborhood, common sense logic no longer seems to apply. A one can be a one, or it can be a one and a zero and everything in between — all at the same time.

It sounds preposterous, particularly to those familiar with the yes/no world of conventional computing. But academic researchers and scientists at companies like Microsoft, I.B.M. and Hewlett-Packard have been working to develop quantum computers.  READ REST OF STORY 

Questions for discussion:

1. What are quantum computers?

2. Why is quantum computing so much faster than traditional computers?