Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do.

There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

Saturday, 21 April 2018

#GoogleTalk #GoogleSearch #SemanticSearch


Quantum  Jump  ?




And it will get even better when Quantum Computers become commercially available in next 2 years



I am referring to Google’s announcement 4 days back , of its semantic search engine called “ Talk to Book “







Answers to your questions in more than 100,000 books


April 13, 2018






Against my following “ Questions ( Search Terms ) “ , Talk to Book  returned  names of 5 books in each case ( of course , you can  click “ more samples “ ) , which were quite relevant ( figures in brackets indicate the number of links returned in standard Google Search Bar ) :



*     Will AI ever succeed in enslaving mankind  ?  (  86,500  )



*     What will be the effect of global warming by 2025  ?  (  544,000  )



*     When we land on Mars, can we survive  ?   (   843,000  )



*    What is the future of humanity  ?   (  48,00,000  )





As per Google , semantic search is not based on finding in a database ,  documents with , “ matching keywords / phrases “



It is based on searching for “ meaning “  !



What are the implications ?



Could “ Semantic Search “ be V 2.0 , of our current , too familiar Google Search bar ? – with fewer but more relevant results ?



In course of next few months , will Google release a “ Semantic Search Plugin “ which web site developers can integrate with their offerings  ?




Imagine, what this can do if plugged into social media web sites (Facebook/Twitter etc )

A  further unravelling of Privacy  ?




Or , into job portals such as Naukri / Monster / Timesjobs / Shine or even LinkedIn  ?
 
Elimination of intermediaries like head-hunters / recruiters ?




Or, will “ Google  Home /  Google  Assistant “ altogether make obsolete, that Google search bar  ?
 
Just  speak up and listen ?




Could we , someday soon , tell “ Google Home “ ( embedded in every smart phone ) :


“ From your database of blogging sites , find that poem in which a 26 year old poet praises the beauty of his 20 year old beloved “



{ For last 2 days, I cannot get ALEXA ECHO to even play songs of most Indian artists / playback singers !  }


Probably , the first industry to morph due to “ Semantic Search Plugin “ would be “ Online E Paper “ websites of Times of India / Hindustan Times / Hindu / DNA / Bhaskar etc , with their database of billions of “ News Stories / Text Documents “ of past 10 years




To know how , read :

 

Redesigning Newspapers ?

 

https://myblogepage.blogspot.in/2016/05/redesigning-newspapers.html

 

 

Next Generation Newspaper ?

 

https://myblogepage.blogspot.in/2016/03/next-generation-newspaper.html

 

 

22  April  2018

www.hemenparekh.in / blogs







Friday, 20 April 2018

#AI #NLP #NeuralNetwork #Language


Not  a  day  too  soon  !




More than 20 years ago ( in Dec 1996 ) , I sent following notes to my colleagues :



===============================



Artificial Resume Deciphering Intelligent Software ( ARDIS )


http://hcpreports.blogspot.in/2016/11/artificial-resume-deciphering.html,



================================



ARDIS - Some further thoughts !



http://hcpreports.blogspot.in/2016/11/ardis-some-further-thoughts.html


==========================


BASIS FOR WORD RECOGNITION SOFTWARE


http://hcpnotes.blogspot.in/2013/07/basis-for-word-recognition-software.html#.Wts3w8iFPcc


==================================================================







where I wrote :



ARDIS will ,


*   Recognize " Characters "

*   Convert to " WORDS "

*   Compare with 6,258 key words  which we have found in 3,500 converted Bio Data (
     using ISYS ) . 



If a " Word ",

has not already appeared ( > 10 times ) in those 3500 bio data , then its " chance " ( probability ) of occurring in the next bio data , is very very small indeed



But even then ,

ARDIS software will store in memory , each " Occurrence " of each Word ( old or new / first time or a thousandth time ) ,


And ,

will continuously calculate its " Probability of Occurrence " as :


P =  [ No of Occurrence of the given word so far ]

       divided by,

      [ Total No of occurrence of all the words in the in the entire population so far  ]

         

         

So that ,

By the time we have SCANNED , 10,000 bio data , we would have literally covered ALL the words that have , even a small PROBABILITY of OCCURRENCE !


So , with each new bio data " scanned " , the " probability of occurrence " of each word is getting , more and more accurate !


Same logic will hold for,

*  KEY  PHRASES

*  KEY  SENTENCES



The " Name of the Game " is : Probability of Occurrence


As someone once said :


If you allow 1000 monkeys to keep on hammering keys of 1000 type-writers , for 1000 years , you will , at the end  find that , between them , they have " re-produced " , the entire literary works of Shakespeare  !


But  today , if you store into a Super Computer ,


*   all the words appearing in English language ( incl Verbs / Adverbs / Adjectives ..etc )

*  the " Logic " behind construction of English language ,


then ,

I am sure , the Super Computer could reproduce the entire works of Shakespeare , in 3 MONTHS !



And , as you would have noticed , ARDIS is a " SELF  LEARNING " type of software !


The more it reads ( scans ) , the more it learns ( memorizes words , phrases & even sentences )


Because of its SELF LEARNING / SELF CORRECTING / SELF IMPROVING , capability , ARDIS gets better & better equipped to detect , in a scanned bio data ,


*   Spelling  Mistakes  (  wrong WORD )

*   Context  Mistakes  ( wrong Prefix or Suffix )

*   Preposition  Mistakes  ( wrong PHRASE )

*   Verb / Adverb  Mistakes ( wrong SENTENCE ),


With minor variations ,

-  ALL Thoughts , Words ( written ) , Speech ( spoken ) and Actions , keep on " repeating " again and again and again


It is this  REPETITIVENESS  of Words , Phrases , and Sentences in Resumes , that we plan to exploit


In fact ,

by examining & memorizing the several hundred ( or thousand ) " Sequences " in which the words appear , it should be possible to " Construct " the " Grammar " ie: the logic behind the sequences



I suppose , this is the manner in which the experts were able to unravel the " meaning " of hierographical  inscriptions on Egyptian tombs .


They learned a completely strange / obscure language by studying the " Repetitiveness " & " Sequential " occurrence of unknown characters



Today , I came across the following :





How Google’s ‘smart reply’ is getting smarter

 

A significant new hierarchical approach to machine intelligence

May 24, 2017



Extract :


How does it work?

“The content of language is deeply hierarchical, reflected in the structure of language itself, going from letters to words to phrases to sentences to paragraphs to sections to chapters to books to authors to libraries, etc.,” they explained.

So a hierarchical approach to learning “is well suited to the hierarchical nature of language. We have found that this approach works well for suggesting possible responses to emails. We use a hierarchy of modules, each of which considers features that correspond to sequences at different temporal scales, similar to how we understand speech and language.”*


21  April  2018





====================================================================

Most people wouldn't understand the significance of your work it's amazing 👌









Thursday, 19 April 2018

#Robots #AI #Economy #DigitalIndia


A  Robotic  Invasion  ?



Robots are far from invading India’s factories , even though their installation rate is steadily rising , as can be seen from following data


YEAR    /    NO OF  ROBOTS INSTALLED IN INDIAN FACTORIES



*      2015………………. 2065

*      2016………………. 2625

*      2017 ( E )…….…3000

*     2018 ( F )………..3500

*     2019  ( F )……… 5000

*     2020  ( F )……… 6000




But other countries seem to be going all out to install robots in their factories as can be seen from following figures :


NUMBER OF INSTALLED INDUSTRIAL ROBOTS PER 10,000 EMPLOYEES


*    South Korea…………………… 631

*    Singapore………………………  488

*    Germany…………………………..309

*    Japan……………………………..  303

*    USA………………………………..  189

*    UK…………………………………….. 71

*    China………………………………..  68

*    Brazil…………………………………  10

*    Russia………………………………     3

*    India……………………………….      3



[  Source  :  Times of India  /  25  March  2018  ]




The main reason why industrialists in developed countries are very keen to replace human workers with robots , is HIGH WAGES ( in USA , minimum wage is $ 7.25 per hour = approx. Rs 470 per hour ! )



And , every few years , these wages keep climbing with rising Cost of Living Index



It has reached a stage where ( in countries like China ) , cost of an industrial robot is just the same as the annual wage paid to a Semi Skilled worker !



In India , we have still not reached that kind of a PAYBACK PERIOD , but Indian industrialists are acutely conscious of the following advantages of robots :



Robots which work 24 hours/day and do not ask for a salary



Robots that do not " go slow "or go on a strike



Robots that do not demand " Quotas / Reservations "



Robots that do not take holidays or take " Sick Leave "



Robots that do not resign / demand promotion



Robots that neither envy other robots nor sabotage 



Robots that do not complain against unpleasant work



Robots that do not get tired and need rest



Robots whose production does not drop after working for 8 hours



Robots that do not demand " Overtime Pay " @ 200 % of normal



Robots that perfectly co-ordinate their tasks with other robots



Robots that willingly " retire " at any age , whenever required



Robots that do not demand 

Unemployment/Retirement Benefits




 Robots which may , some day , provide you with 
emotional support when you are sick / depressed  !





The  “ writing is on the wall “if we fails to turn India into a  LOW  COST  ECONOMY  !



Remember : 

 

Automation is Inescapable






20  April  2018