CA2642401A1 - Computing technology/artificial intelligence/neural links and/or multidimensional internet - Google Patents

Computing technology/artificial intelligence/neural links and/or multidimensional internet Download PDF

Info

Publication number
CA2642401A1
CA2642401A1 CA2642401A CA2642401A CA2642401A1 CA 2642401 A1 CA2642401 A1 CA 2642401A1 CA 2642401 A CA2642401 A CA 2642401A CA 2642401 A CA2642401 A CA 2642401A CA 2642401 A1 CA2642401 A1 CA 2642401A1
Authority
CA
Canada
Prior art keywords
clues
artificial intelligence
entities
memory
objects
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
CA2642401A
Other languages
French (fr)
Inventor
Gerard Voon
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CA2642401A priority Critical patent/CA2642401A1/en
Publication of CA2642401A1 publication Critical patent/CA2642401A1/en
Abandoned legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The point of this invention is primarily to use particularly Neural Links and also any and all electronic robots/machines/Artificial Intelligence (any and all hard ware and soft ware) that the Neural Links can control.

Neural Links that are connected wirelessly control via modem and/or cellular phone that connect wirelessly to any and all robots/mechanical/prosthetics/exoskeleton/backpack computing processor and memory/ipod any and all electronic devices/multiscreens computers/machines...

Other means of control and Neural Links done wirelessly (between the Human Neural Links end and the robot/machine end possibly linked with one or more Artificial Intelligence) include: mobile network/wireless/router/cordless phone/walkie talkie or a land line (eg. cable/ADSL/T1) from one end to a robot/machine...that is connected to a wireless modem; any and all devices that can access the robots/machine: The Neural Links can be tied to my patented Multidimensional Internet - collaborative work - Rentable time via internet to our software (eg. Office Suite), hardware (processing power and memory) - And Online Artificial Intelligences; every multidimensional website could be designed to have seamless integration 1. a standard package of Artificial Intelligence, 2.
an Artificial Intelligence that is an expert in different areas (Business, family, single personal, bio sciences, chemistry, catered to age and level of education and skills, and occupation and responsibilities required of you - organizing factual information to take segment/areas based on these topics to place in the specific Artificial Intelligence), 3.
seamless integration of an exchange of multi Artificial Intelligences (sharing) program between (eg. Physical Gigabyte memories and any and all skills that are plug and play from computer to laptop to television console)... the exchange/sharing program would allow people to interact and teach or ask the Artificial Intelligence research and/or read material and grow their Artificial Intelligence that others can use and/or experience and/or interact with via time share and/or pay for time via Multidimensional Website...

We could even have an e-device that does voice command and speech or clip on/and unclip off screens of various sizes for text options (Artificial Intelligence). The Artificial Intelligence could use Gerard Voon's patented Memory Model (clues/connections/representative labels/linkages); especially for people who have memory blocks and/or are forgetful. Or people who are interested in knowledge readily available at any time.

Another option is to use Google or for specificity when you want only the facts Wikipedia to be used (seamless integration) by Artificial Intelligence. Wikipedia can be used as a starting point to see if your keywords (representative identities/labels/clues...) refer to the correct topic. Sometimes there are multiple uses for the same keywords and other uses for the same key words are more generically popular. Using Wikipedia (Segmented by:
History; Usage; How to Produce; Side Effects...), based on what the person knows and verified that this key word and its topic is covered by this Wikipedia topic, whether the key word is the topic and/or the key word is found in the topic, one can narrow the scope of the search based on the requirements that is wanted as the target of your search).

In a new innovative addition to Gerard Voon's patented Multi Screens Computer we can sell optional plug and Haptic interfaces with any or all but not limited to laptop and/or eyeglass screens or other portable screens even a table haptic controlled personal screens.

The haptic Multi Screens can enable the person to use a personal screen to zoom in on and select/targets an icon/entity/label/keyword/name/representative.

Artificial Intelligence can help people with Managing Memory Using this selection zoom in on technology can operate by using the representations to help person recall via what in the contents covered by the representation/word labels/pictures/objects/entities and their interactions what comes to mind immediately stand out/easily remembered and the Gerard Voon's patented memory model whereby the representation that leads to recall of most easily is remembered (stands out) points, can lead to further points of recognition if not all or most of the information, and if you studied the salient points and its structure location in the organization of the material both in text as well as in logic, and thoroughly understood all functions, relevant (and some irrelevant but easy to remember because it is easy to understand, or makes an memory imprint because it is unique and/or bizarre, linked with an emotional response via interesting - appeal value) relationships/connections/linkages with other material (which can be used for clues). Also there is the sequential placement like a 3 dimensional (we could use Gerard Voon's patented Multidimensional Internet) maps of whereby there is a table of contents, index and glossary, to choose the key word that you want to know more about (or a clue that you recall was connected/linked/connected to the actual targeted keyword), it can list all the times the keyword is used and list its place sequentially;
the person can click on one of the place that the key word is used it can list the salient points or information that is relevant or that the person knows is related to the actual targeted keyword and (the Artificial Intelligence) can match keywords to key words...it can show how many salient/relevant points are listed in the chapter; page and/or paragraph and/or sentence or home in directly on the keyword that matches the structural map where the person remembers that the targeted answers were found/located.

To convert this structural map into 3 dimensions, we organize the material into representative key entities/objects/pictures/labels in a rooms, by content divided by chapter/topic/paragraph lines anywhere where the keywords are found and also by Gerard Voon's patented memory model (system/parts). These representative key entities/objects/pictures/labels can also be sorted by name (alphabetical and Gerard Voon's patented Word Recognition), original creation date (which can be registered via our Multidimensional Website for Document beginning date (a summary), last/most recently changed (including amounts bytes changed since the pervious change - even records of steps of undo typing between the last/most recent change and the earlier previous saving of the eg. document), type (same type grouped together or in separate rooms), size (can be represented by the size of the entity/object in the room), and/or sort/organize by urgency and/or importance and generic versus customized versus heroes/heroines popularity as well as history (past ranges of time horizon) that is significant, also present and significant whose impacts we may need to plan for. Another option to organize/sort in a Multidimensional Website rooms which hold saved any and all things is to stack the material into representative key names/entities/objects/pictures/labels/interactions/activities, lined up from left to right and top shelf to bottom shelf eg. as top shelf fills from left to right, then stack to the next lower shelf, perhaps saving the bottom shelf for your favourites saved things. Or we could have a 3-dimensional file cabinet(s) the number of file cabinets depends on how many ways you want to sort your segment your files, and how different (eg. different fields and/or or training needed for different occupations and/or different areas of life you may want to keep separate eg professional versus personal). The file cabinet could produce a printable list of representative key entities/objects/pictures/labels which after instructing the way to organize depending what you know and/or believe about the sought answer...We could have Index/Glossaries' to pick representative key entities/objects/pictures - headings/labels any and all identifying markers, as well as option to connect to clues Gerard Voon's patented memory model clues/connections/linkages/relationships outs side the scope of this particular file (there could also be a sections that are secrets eg. secret recipes that you can search within your company's website that where only authorized people can go and is not available on Google), or Multidimensional compartments or even website and even the scope off Google...like key word html links you choose keywords from the Index/Glossary that you think covers the sought information/experience and/or you think is a indirect clue will lead to more knowledge that will lead you to the sought correct/succinct/poignant information/experience (GP; 0.5%) (Jeff 1%). Once the correct word is selected from the index/glossary one can observe (on big articles) which chapter and topics within chapter and which subtopics within topics the words are found (eg. in sub topic how many times the key word is found - even chart it where the page number is the x-axis and the paragraph - and zoom into the line number from top of page to line where the keyword is found is the y-axis...) - really we could create a whole new amalgamated website that Includes most recent and popular or any and all ways of organization/sorting of keywords found in articles and with the tools datamine herein, eg. 1. Index leading to exact place where the key word is found in each and every article, 2.
Glossary/Dictionary (for a specific article or more than one or generic dictionary) as to how the word is used for verbal and/or written communications to describe and/or identify succinctly, 3.
Encyclopedia as to more in depths in facts of all the data/information/beliefs known about the keyword but limited to overlapping/redundant facts/data/information/beliefs between where a keyword will have an explanation of introduction, history (path impacts from past to now), what it's components are/what categorizations of (eg. science it belongs to) what are its uses, advantages/disadvantages, further research and development.

Each room could have the ability to change dimensions (shape; size) to accommodate interior decorating and/or reorganizing for asthetics for people's better experience or even have an different organizations of rooms for different people (eg. by level of expertise and/or level of security clearance, and/or the press...). Each room could have its own memory model (of a intertwined web of clues/relationships/connections/representation/pictures/ key word labels/attributes...with a readout of most popular entities/objects interacted and the duration of their usage, and (if want more information double click) to see how many other entities/objects were used by the same person during a time range, to determine if the first entity/object was used as a clue to get to/recall another entity/object or it was a direct search to expand on information that the entity/object system and required parts fall under it. Or there maybe more than one of the salient points that the person is looking for in which case the Artificial Intelligence can help search.

Another option to organize/sort saved any and all things is to stack the material into representative key names/entities/objects/pictures/labels/interactions/activities, lined up from left to right and top shelf to bottom shelf eg. as top shelf fills from left to right, then stack to the next lower shelf, perhaps saving the bottom shelf for your favourites saved things.

In a Multidimensional Website:
1. Objects/entities 2. Interactions/activities picture containing 1. and 2. can be part of a 3. bigger picture a view that includes them. They are all experiential to the senses, and trigger a response to the specific and/or bigger picture, (the response has to do with how much you value these stimulus and/or their activities and how desperate and/or satisfied - appetite how fast you satisfy how long the satisfaction lasts how well you are able to avoid the need and what drains and/or wears out and/or erodes your satisfaction ... These values can be generic by profiling segments (GP) and/or subcultures of society; when a common (eg. trend) that all or near all the members of the subculture buy-in to...sharing common things ... genetically and/or environmentally and/or response to either and/or both.
1., 2. and 3. above can be reduced by to representative labels/key words on the walls of a Multidimensional compartment...The person simply touches/selects and zooms to enlarge for easy recognition and the parts (entities/objects/interactions/activities), eg. you find a representative label/key word on the left wall, then by facing the left wall and pressing representative label/key word you expand enlarge the document across the wall.
There could be an initial page of Table of Contents and a Summary of Salient Points. The physically visible, tangible parts (entities/objects/interactions/activities), can be used in co-junction with the memory model to assist in identification answers. Besides physical/visible parts, information (at different levels of inclusiveness) include information/theories/stories/ideas/concepts/hypothesis (beliefs) past/present and future and fantasy, abstract, intangible and everything that needs description (Neural Links will bridge the gap for descriptive language)...

Artificial Intelligence could develop a dictionary/Encyclopedia - of either personal (managing relationships), personal (interests), professional (levels of mastery (Jeff 0.01%) of different fields; and/or technical/vocational skill)... Previously recorded (personal and/or professional) knowledge is (especially the important ones 1. words that you constantly forget are kept in a list, 2. scheduling dates and their priorities (GV GP), 3. complex material, 4. methods for mind management that you keep forgetting, 5.
Fill different rooms so that clues can used to trace linkages/connections ...
to the core contents which are categorized as core contents based on the purpose of the memory model in the room, eg. a room that has a memory model of quality time between husband and wife; if you forget the purpose of the room the wife may trace back perhaps her who she expects to remember her birthday... Furthermore we could have for memory model core preface that has a summary salient points (for information) and identities (entities/objects and/or interactions/activities).

Then there is a new search engine dictionary/Encyclopedia keyword search where the person each you enter creates a (including Multidimensional Internet and/or Search Engine), Memory Model. The memory model mechanism works by identifying (Artificial Intelligence can sort and identify eg. spelling of name/label, compartment that is being viewed, objects/entities dimensions, trunk versus appendages, sizes, shapes, supported by two and/or four legs sitting/sleeping/resting positions...

The search engine dictionary/Encyclopedia uses key word clues (entities/interactions/ideas...) that the person believes is linked/connected to the sought answer either starting with 1. then 2. below or start with 2. then 1. below or for speed the Artificial Intelligence could both ends of the candle.

1. Rank most unique clues and their linkages/relationship to the answer.
2. Group that the clue and the linkage/relationship can belong to which can be measured by match and fit in terms of sharing the common same characteristics, by identifying group type, then the Artificial Intelligence looks at the differences between what is known and believed about the sought content/characteristics (first to try for an easy definitive fast answer) we check these known/believed contents/characteristics to see we can eliminate the rest of the group. Groups can be checked by tackling the most easy to identify/recognize well known depending on the person's education and extra training and/or experiences.
3. If we can't find a suitable candidate then check other memory models for other clues. We can check pre recorded memory models (with related clues of clues - broader picture in relationship and then scope down, zoom in on these clues and their ) that correlate in relationship and repeat the process of 1. and 2.
and/or combinations of matches that aren't decisive by themselves but together make a secure lock combination (eg. the chances of such combinations matching are small and then search other clues that exist that when put together are even more decisive).

The entities/objects can be sorted by emotions, eg. in a hallway/room where the happy things come first with the unwanted/undesirable things at the end of the hall to save the person time; and/or the most intense things are at the top of the stacked shelves and the most boring are at the bottom...this is logical since the cream rises to the top, and the higher represents lofty things. There could be an average (generic and/or personal) neutral mark. Also strong motivational emotions that are commonly found driving people in general especially when it comes to information and socializing versus professional responsibilities include curiosity and high frequency of use.
We could colour code the spectrum of desired to undesired representations of the emotions. Neural Links could be used to compare your emotional colour to the generic/or customized by website owners colour spectrum response to that same entity/object (benchmarking is)...

Groups are identified by the characteristics that binds members together to the core (by important - ulterior purpose), and/or important characteristics (sometimes identification is the purpose in itself of identity is expected to shed light on - jog memory as to the details of usage)...there are different levels of clues closeness level of relevance based on the core purpose and the necessity of the clue to the core purpose (longer and/or shorter linkages/pathways) - like peeling an onion there is a core purpose then linkages/pathways (lines that lead out that can be viewed by lengths of linkages/pathways that fall under each layer...clues that stand out can be larger (entity/objects/interactions/activities) landscapes, and/or colour coded...the thickness of the linkage between the clue and the core could represent frequency and duration and sum of durations of usage over different organized/sorting cycles by counted by hours/days/weekday to weekend/weeks/months...and when nothing turns up after the above, there are fringe clues that can be just related by casual interest or other casual relationships/linkages/pathways that we can link to other possible clues that may turn something up. Even comprehensively studying every fringe clue and their systems and parts.

In a Multidimensional room, we could also put objects/entities/interactions/written-voice narrated material/videos in boxes (possibly colour coded for any and all the sorting/organizing methods above and/or including importance based on where you are in your attempts to fill your priority of needs (which determines how you values rank back and forth in ranking of wanting to have and trying to avoid), whereby dragging the cursor or touching once lists the dimensions/size (most easy to categorize), name (the more unique and familiar to person the better)/label, representative key word, picture, front picture of objects/entities interactions/activities...

Traditionally search have been done via Introduction/Abstract may find a very brief and inadequate coverage of a subject; background my be interesting for history aficionados;
Main Body can be divided into chapters, you may extrapolate that the subject you may be looking for is covered based on the table of contents (or you can look up the index - for key word search) ... you can measure the value type that are related directly to you or as a secondary and/or third part relationship, and the amount of value (logical) of the key words and what the chapter/page/paragraph/sentence is trying convey (whether it is a story the provokes/entertains and/or a report of some form and/or any and all documents, information in any form ... writing/verbal/beliefs/thought - experience ...
groups of parts that belong (logically/beliefs and/or definite facts and/or emotionally) eg. group of Departmental Managers (parts) to larger systems that whereby (in the same format as a corporate hierarchy), these are represented for easy convenience as (traditionally represented as a position that they belong to title/label eg. Departmental Vice Presidents (whose coverage of parts are represented by the title/label of the VP Dept. they belong to) and all the responsibilities these VP's Department covers), and these VP's in tum are parts that belong to the group of the President of that department (more macro system).
Except systems/parts relationship for Gerard Voon's Artificial Intelligence/Neural Links/Logical Language/Multi Screens/Haptic and/or smaller screen devices/Multidimensional Internet and/or Memory Models can cover knowledge of various of fields of expertise...

We could have Multi Screens cafes (coffees/teas/juices/supplements/caffenated/electrolytes/creatine/drinks and as well concentration drinks), next to hotels/resort hubs, and Stationary Centres (for business/work) also for Social we could locate our cafes in entertainment districts and box/rooms, we could also have availability of Neural Links interface, multiple - haptic/or regular laptop screens that zoom in on representative systems/parts via plug and play into the Multi Screens rooms, even tablet and table haptic collaborative work, Artificial Intelligence, Multidimensional Website (with option for 3-demensions and/or eyeglass screens as well as the Laptop alternate function). Some high end computers could have the hardware/software (the processing chips and/or memory capacity is situated in the café location itself and/or some of the café site computers share (eg.
mainframe or some high speed and capacity processing and memory capacity) and/or some computers that work online renting time for processing power and memory capacity of an internet source (using a very fast modem) and/or television consoles.

Re: We can also organize (perhaps with the Artificial Intelligence having a high level of mastery of the tropics covered and relevant in the information)... (GP 0.02%) 1. Why (reason)?
2. Where (site/location/cascading)?
3. When (time/length/duration/rate of change)?
4. Who (identity)?
5. Which (identities/things/substitutes)?
6. How (methods techniques of accomplishment)?
7. How (dimensions/measurements/operations)?
8. How to?

Re: New Computer Hardware/Audio/Visual/Entertainment Design Both Computer Hardware Case and/or Audio/Visual/Entertainment devices (except for the screen) ... The computer hardware could have multiple levels of flat (horizontal) orientated -stacked (versus the current standing vertically tall) version(s) where each level of flat devices can have various circuit boards including memory, chips, sound, modem any and all cards, sockets, recordable mediums... modular and/or plug and play which are interoperable with all makes and brand and/or stacked into multilevel cabinet On the other hand Audio/Visual/Entertainment box devices (eg.
amplifier/radio/Blue Ray/CD/toggle switch/Graphic Equalizer/cable set top boxes/video games consoles/Artificial Intelligence consoles ... are reduced to circuit boards with that are added to large computer box type standing vertically tall with front end access to recordable external memory media.

Description

Description The point of this invention is primarily to use particularly Neural Links and also any and all electronic robots/machines/Artificial Intelligence (any and all hard ware and soft ware) that the Neural Links can control.

Neural Links that are connected wirelessly control via modem and/or cellular phone that connect wirelessly to any and all robots/mechanical/prosthetics/exoskeleton/backpack computing processor and memory/ipod any and all electronic devices/multiscreens computers/machines.. .

Other means of control and Neural Links done wirelessly (between the Human Neural Links end and the robot/machine end possibly linked with one or more Artificial Intelligence) include: mobile network/wireless/router/cordless phone/walkie talkie or a land line (eg. cable/ADSL/T1) from one end to a robot/machine...that is connected to a wireless modem; any and all devices that can access the robots/machine: The Neural Links can be tied to my patented Multidimensional Internet - collaborative work - Rentable time via intemet to our software (eg. Office Suite), hardware (processing power and memory) -And Online Artificial Intelligences; every multidimensional website could be designed to have seamless integration 1. a standard package of Artificial Intelligence, 2.
an Artificial Intelligence that is an expert in different areas (Business, family, single personal, bio sciences, chemistry, catered to age and level of education and skills, and occupation and responsibilities required of you - organizing factual information to take segment/areas based on these topics to place in the specific Artificial Intelligence), 3.
seamless integration of an exchange of multi Artificial Intelligences (sharing) program between (eg. Physical Gigabyte memories and any and all skills that are plug and play from computer to laptop to television console)... the exchange/sharing program would allow people to interact and teach or ask the Artificial Intelligence research and/or read material and grow their Artfficial Intelligence that others can use and/or experience and/or interact with via time share and/or pay for time via Multidimensional Website...

We could even have an e-device that does voice command and speech or clip on/and unclip off screens of various sizes for text options (Artificial Intelligence). The Artificial Intelligence could use Gerard Voon's patented Memory Model (clues/connections/representative labels/linkages); especially for people who have memory blocks and/or are forgetful. Or people who are interested in knowledge readily available at any time.

Another option is to use Google or for specificity when you want only the facts Wikipedia to be used (seamless integration) by Artificial Intelligence. Wikipedia can be used as a starting point to see if your keywords (representative identities/labels/clues... ) refer to the correct topic. Sometimes there are multiple uses for the same keywords and other uses for the same key words are more generically popular. Using Wikipedia (Segmented by:
History; Usage; How to Produce; Side Effects... ), based on what the person knows and verified that this key word and its topic is covered by this Wikipedia topic, whether the key word is the topic and/or the key word is found in the topic, one can narrow the scope of the search based on the requirements that is wanted as the target of your search).

In a new innovative addition to Gerard Voon's patented Multi Screens Computer we can sell optional plug and Haptic interfaces with any or all but not limited to laptop and/or eyeglass screens or other portable screens even a table haptic controlled personal screens.
The haptic Multi Screens can enable the person to use a personal screen to zoom in on and select/targets an icon/entity/label/keyword/name/representative.

Artificial Intelligence can help people with Managing Memory Using this selection zoom in on technology can operate by using the representations to help person recall via what in the contents covered by the representation/word labels/pictures/objects/entities and their interactions what comes to mind immediately stand out/easily remembered and the Gerard Voon's patented memory model whereby the representation that leads to recall of most easily is remembered (stands out) points, can lead to further points of recognition if not all or most of the information, and if you studied the salient points and its structure location in the organization of the material both in text as well as in logic, and thoroughly understood all functions, relevant (and some irrelevant but easy to remember because it is easy to understand, or makes an memory imprint because it is unique and/or bizarre, linked with an emotional response via interesting -appeal value) relationships/connections/linkages with other material (which can be used for clues). Also there is the sequential placement like a 3 dimensional (we could use Gerard Voon's patented Multidimensional Internet) maps of whereby there is a table of contents, index and glossary, to choose the key word that you want to know more about (or a clue that you recall was connected/linked/connected to the actual targeted keyword), it can list all the times the keyword is used and list its place sequentially;
the person can click on one of the place that the key word is used it can list the salient points or information that is relevant or that the person knows is related to the actual targeted keyword and (the Artificial Intelligence) can match keywords to key words...
it can show how many salient/relevant points are listed in the chapter; page and/or paragraph and/or sentence or home in directly on the keyword that matches the structural map where the person remembers that the targeted answers were found/located.

To convert this structural map into 3 dimensions, we organize the material into representative key entities/objects/pictures/labels in a rooms, by content divided by chapter/topic/paragraph lines anywhere where the keywords are found and also by Gerard Voon's patented memory model (system/parts). These representative key entities/objects/pictures/labels can also be sorted by name (alphabetical and Gerard Voon's patented Word Recognition), original creation date (which can be registered via our Multidimensional Website for Document beginning date (a summary), last/most recently changed (including amounts bytes changed since the pervious change - even records of steps of undo typing between the last/most recent change and the earlier previous saving of the eg. document), type (same type grouped together or in separate rooms), size (can be represented by the size of the entity/object in the room), and/or sort/organize by urgency and/or importance and generic versus customized versus heroes/heroines popularity as well as history (past ranges of time horizon) that is significant, also present and significant whose impacts we may need to plan for. Another option to organize/sort in a Multidimensional Website rooms which hold saved any and all things is to stack the material into representative key names/entities/objects/pictures/labels/interactions/activities, lined up from left to right and top shelf to bottom shelf eg. as top shelf fills from left to right, then stack to the next lower shelf, perhaps saving the bottom shelf for your favourites saved things. Or we could have a 3-dimensional file cabinet(s) the number of file cabinets depends on how many ways you _i _ . . ..,, . i ,. ~. -.a.,. _ 4.õ, .. _ _ want to sort your segment your files, and how different (eg. different fields and/or or training needed for different occupations and/or different areas of life you may want to keep separate eg professional versus personal). The file cabinet could produce a printable list of representative key entities/objects/pictures/labels which after instructing the way to organize depending what you know and/or believe about the sought answer... We could have Index/Glossaries' to pick representative key entities/objects/pictures -headings/labels any and all identifying markers, as well as option to connect to clues Gerard Voon's patented memory model clues/connections/linkages/relationships outs side the scope of this particular file (there could also be a sections that are secrets eg. secret recipes that you can search within your company's website that where only authorized people can go and is not available on Google), or Multidimensional compartments or even website and even the scope off Google ... like key word html links you choose keywords from the Index/Glossary that you think covers the sought information/experience and/or you think is a indirect clue will lead to more knowledge that will lead you to the sought correct/succinct/poignant information/experience (GP; 0.5%) (Jeff 1%). Once the correct word is selected from the index/glossary one can observe (on big articles) which chapter and topics within chapter and which subtopics within topics the words are found (eg. in sub topic how many times the key word is found - even chart it where the page number is the x-axis and the paragraph - and zoom into the line number from top of page to line where the keyword is found is the y-axis... ) - really we could create a whole new amalgamated website that Includes most recent and popular or any and all ways of organization/sorting of keywords found in articles and with the tools datamine herein, eg. 1. Index leading to exact place where the key word is found in each and every article, 2.
Glossary/Dictionary (for a specffic article or more than one or generic dictionary) as to how the word is used for verbal and/or written communications to describe and/or identify succinctly, 3.
Encyclopedia as to more in depths in facts of all the data/information/beliefs known about the keyword but limited to overlapping/redundant facts/data/information/beliefs between where a keyword will have an explanation of introduction, history (path impacts from past to now), what it's components are/what categorizations of (eg. science it belongs to) what are its uses, advantages/disadvantages, further research and development.

Each room could have the ability to change dimensions (shape; size) to accommodate interior decorating and/or reorganizing for asthetics for people's better experience or even have an different organizations of rooms for different people (eg. by level of expertise and/or level of security clearance, and/or the press... ). Each room could have its own memory model (of a intertwined web of clues/relationships/connections/representation/pictures/ key word labels/attributes ... with a readout of most popular entities/objects interacted and the duration of their usage, and (if want more information double click) to see how many other entities/objects were used by the same person during a time range, to determine if the first entity/object was used as a clue to get to/recall another entity/object or it was a direct search to expand on information that the entity/object system and required parts fall under it. Or there maybe more than one of the salient points that the person is looking for in which case the Artificial Intelligence can help search.

Another option to organize/sort saved any and all things is to stack the material into representative key names/antities/objects/pictures/labels/interactions/activities, lined up from left to right and top shelf to bottom shelf eg. as top shelf fills from left to right, then stack to the next lower shelf, perhaps saving the bottom shelf for your favourites saved things.

_ i. _. _ I ., ..,.. ,. > .

In a Multidimensional Website:

1. Objects/entities 2. Interactions/activities picture containing 1. and 2. can be part of a 3. bigger picture a view that includes them. They are all experiential to the senses, and trigger a response to the specific and/or bigger picture, (the response has to do with how much you value these stimulus and/or their activities and how desperate and/or satisfied - appetite how fast you satisfy how long the satisfaction lasts how well you are able to avoid the need and what drains and/or wears out and/or erodes your satisfaction ... These values can be generic by profiling segments (GP) and/or subcultures of society; when a common (eg. trend) that all or near all the members of the subculture buy-in to...sharing common things... genetically and/or environmentally and/or response to either and/or both.
1., 2. and 3. above can be reduced by to representative labels/key words on the walls of a Multidimensional compartment... The person simply touches/selects and zooms to enlarge for easy recognition and the parts (entities/objects/interactions/activities), eg. you find a representative label/key word on the left wall, then by facing the left wall and pressing representative label/key word you expand enlarge the document across the wall.
There could be an initial page of Table of Contents and a Summary of Salient Points. The physically visible, tangible parts (entities/objectsfinteractions/activities), can be used in co-junction with the memory model to assist in identification answers. Besides physical/visible parts, information (at different levels of inclusiveness) include information/theories/stories/ideas/concepts/hypothesis (beliefs) past/present and future and fantasy, abstract, intangible and everything that needs description (Neural Links will bridge the gap for descriptive language)...

Artificial Intelligence could develop a dictionary/EncyGopedia - of either personal (managing relationships), personal (interests), professional (levels of mastery (Jeff 0.01 %) of different fields; and/or technical/vocational skills) ... Previously recorded (personal and/or professional) knowledge is (especially the important ones 1. words that you constantly forget are kept in a list, 2. scheduling dates and their priorities (GV GP), 3. complex material, 4. methods for mind management that you keep forgetting, 5.
Fill different rooms so that clues can used to trace linkages/connections ...
to the core contents which are categorized as core contents based on the purpose of the memory model in the room, eg. a room that has a memory model of quality time between husband and wife; if you forget the purpose of the room the wife may trace back perhaps her who she expects to remember her birthday...Furthermore we could have for memory model core preface that has a summary salient points (for information) and identities (entities/objects and/or interactions/activities).

Then there is a new search engine dictionary/Encyclopedia keyword search where the person each you enter creates a (including Multidimensional Intemet and/or Search Engine), Memory Model. The memory model mechanism works by identifying (Artificial Intelligence can sort and identify eg. spelling of name/label, compartment that is being viewed, objects/entities dimensions, trunk versus appendages, sizes, shapes, supported by two and/or four legs sittinglsleeping/resting positions...

The search engine dictionary/Encyclopedia uses key word clues (entities/interactionsrdeas... ) that the person believes is linked/connected to the sought .: .; t.. > .. _ answer either starting with 1. then 2. below or start with 2. then 1. below or for speed the Artificial Intelligence could both ends of the candle.

1. Rank most unique clues and their linkages/relationship to the answer.
2. Group that the clue and the linkage/relationship can belong to which can be measured by match and fit in terms of sharing the common same characteristics, by identifying group type, then the Artfficial Intelligence looks at the differences between what is known and believed about the sought content/characteristics (first to try for an easy definitive fast answer) we check these known/believed contents/characteristics to see we can eliminate the rest of the group. Groups can be checked by tackling the most easy to identify/recognize well known depending on the person's education and extra training and/or experiences.
3. If we can't find a suitable candidate then check other memory models for other clues. We can check pre recorded memory models (with related clues of clues - broader picture in relationship and then scope down, zoom in on these clues and their ) that correlate in relationship and repeat the process of 1. and 2.
and/or combinations of matches that aren't decisive by themselves but together make a secure lock combination (eg. the chances of such combinations matching are small and then search other clues that exist that when put together are even more decisive).

The entities/objects can be sorted by emotions, eg. in a hallway/room where the happy things come first with the unwanted/undesirable things at the end of the hall to save the person time; and/or the most intense things are at the top of the stacked shelves and the most boring are at the bottom ... this is logical since the cream rises to the top, and the higher represents lofty things. There could be an average (generic and/or personal) neutral mark. Also strong motivational emotions that are commonly found driving people in general especially when it comes to information and socializing versus professional responsibilities include curiosity and high frequency of use.
We could colour code the spectrum of desired to undesired representations of the emotions. Neural Links could be used to compare your emotional colour to the generic/or customized by website owners colour spectrum response to that same entity/object (benchmarking is)...

Groups are identified by the characteristics that binds members together to the core (by important - ulterior purpose), and/or important characteristics (sometimes identiFcation is the purpose in itself of identity is expected to shed light on - jog memory as to the details of usage)...there are different levels of clues closeness level of relevance based on the core purpose and the necessity of the clue to the core purpose (longer and/or shorter linkages/pathways) - like peeling an onion there is a core purpose then linkages/pathways (lines that lead out that can be viewed by lengths of linkages/pathways that fall under each layer...clues that stand out can be larger (entity/objectsfinteractions/activities) landscapes, and/or colour coded...the thickness of the linkage between the clue and the core could represent frequency and duration and sum of durations of usage over different organized/sorting cycles by counted by hours/days/weekday to weekend/weeks/months... and when nothing turns up after the above, there are fringe clues that can be just related by casual interest or other casual relationships/linkages/pathways that we can link to other possible clues that may turn something up. Even comprehensively studying every fringe clue and their systems and parts.

In a Multidimensional room, we could also put objects/entitiesfinteractions/written-voice narrated material/videos in boxes (possibly colour coded for any and all the sorting/organizing methods above and/or including importance based on where you are in your attempts to fill your priority of needs (which determines how you values rank back and forth in ranking of wanting to have and trying to avoid), whereby dragging the cursor or touching once lists the dimensions/size (most easy to categorize), name (the more unique and familiar to person the better)/label, representative key word, picture, front picture of objects/entities interactions/activities...

Traditionally search have been done via Introduction/Abstract may find a very brief and inadequate coverage of a subject; background my be interesting for history aficionados;
Main Body can be divided into chapters, you may extrapolate that the subject you may be looking for is covered based on the table of contents (or you can look up the index - for key word search) ... you can measure the value type that are related directly to you or as a secondary and/or third part relationship, and the amount of value (logical) of the key words and what the chapter/page/paragraph/sentence is trying convey (whether it is a story the provokes/entertains and/or a report of some form and/or any and all documents, information in any form...writing/verbal/beliefs/thought - experience...groups of parts that belong (logically/beliefs and/or definite facts and/or emotionally) eg. group of Departmental Managers (parts) to larger systems that whereby (in the same format as a corporate hierarchy), these are represented for easy convenience as (traditionally represented as a position that they belong to title/label eg. Departmental Vice Presidents (whose coverage of parts are represented by the title/label of the VP Dept. they belong to) and all the responsibilities these VP's Department covers), and these VP's in tum are parts that belong to the group of the President of that department (more macro system).
Except systems/parts relationship for Gerard Voon's Artificial Intelligence/Neural Links/Logical Language/Multi Screens/Haptic and/or smaller screen devices/Multidimensional Internet and/or Memory Models can cover knowledge of various of fields of expertise...

We could have Multi Screens cafes (coffees/teas/juices/supplements/caffenated/electrolytes/creatine/drinks and as well concentration drinks), next to hotels/resort hubs, and Stationary Centres (for business/work) also for Social we could locate our cafes in entertainment districts and box/rooms, we could also have availability of Neural Links interface, multiple - haptic/or regular laptop screens that zoom in on representative systems/parts via plug and play into the Multi Screens rooms, even tablet and table haptic collaborative work, Artificial Intelligence, Multidimensional Website (with option for 3-demensions and/or eyeglass screens as well as the Laptop alternate function). Some high end computers could have the hardware/software (the processing chips and/or memory capacity is situated in the cafe location itself and/or some of the cafe site computers share (eg.
mainframe or some high speed and capacity processing and memory capacity) and/or some computers that work online renting time for processing power and memory capacity of an internet source (using a very fast modem) and/or television consoles.

Re: We can also organize (perhaps with the Artificial Intelligence having a high level of mastery of the tropics covered and relevant in the information)... (GP 0.02%) 1. Why (reason)?
2. Where (site/location/cascading)?

~ . ..,~ . _ ,~ ,. .... -.
.....__ . .; . ,..~ ~R>~ - - -. . ..M. ,~ . ;

3. When (time/length/duration/rate of change)?
4. Who (identity)?
5. Which (identities/things/substitutes)?
6. How (methods techniques of accomplishment)?
7. How (dimensions/measurements/operations)?
8. How to?

Re: New Computer Hardware/AudioNisual/Entertainment Design Both Computer Hardware Case and/or AudioNisual/Entertainment devices (except for the screen)...The computer hardware could have multiple levels of flat (horizontal) orientated -stacked (versus the current standing vertically tall) version(s) where each level of flat devices can have various circuit boards including memory, chips, sound, modem any and all cards, sockets, recordable mediums, .. modular and/or plug and play which are interoperable with all makes and brand and/or stacked into multilevel cabinet On the other hand AudioNisual/Entertainment box devices (eg.
amplifier/radioBlue Ray/CD/toggle switch/Graphic Equalizer/cable set top boxes/video games consoles/Artificial Intelligence consoles ... are reduced to circuit boards with that are added to large computer box type standing vertically tall with front end access to recordable external memory media.

_ . i

Claims (8)

1. Objects/entities
2. Interactions/activities picture containing 1. and 2. can be part of a 3. bigger picture a view that includes them. They are all experiential to the senses, and trigger a response to the specific and/or bigger picture, (the response has to do with how much you value these stimulus and/or their activities and how desperate and/or satisfied - appetite how fast you satisfy how long the satisfaction lasts how well you are able to avoid the need and what drains and/or wears out and/or erodes your satisfaction ... These values can be generic by profiling segments (GP) and/or subcultures of society; when a common (eg. trend) that all or near all the members of the subculture buy-in to...sharing common things... genetically and/or environmentally and/or response to either and/or both.
1., 2. and 3. above can be reduced by to representative labels/key words on the walls of a Multidimensional compartment... The person simply touches/selects and zooms to enlarge for easy recognition and the parts (entities/objects/interactions/activities), eg. you find a representative label/key word on the left wall, then by facing the left wall and pressing representative label/key word you expand enlarge the document across the wall.
There could be an initial page of Table of Contents and a Summary of Salient Points. The physically visible, tangible parts (entities/objects/interactions/activities), can be used in co-junction with the memory model to assist in identification answers. Besides physical/visible parts, information (at different levels of inclusiveness) include information/theories/stories/ideas/concepts/hypothesis (beliefs) past/present and future and fantasy, abstract, intangible and everything that needs description (Neural Links will bridge the gap for descriptive language)...

Artificial Intelligence could develop a dictionary/Encyclopedia - of either personal (managing relationships), personal (interests), professional (levels of mastery (Jeff 0.01%) of different fields; and/or technical/vocational skills)... Previously recorded (personal and/or professional) knowledge is (especially the important ones 1. words that you constantly forget are kept in a list, 2. scheduling dates and their priorities (GV GP),
3. complex material, 4. methods for mind management that you keep forgetting, 5.
Fill different rooms so that clues can used to trace linkages/connections...to the core contents which are categorized as core contents based on the purpose of the memory model in the room, eg. a room that has a memory model of quality time between husband and wife; if you forget the purpose of the room the wife may trace back perhaps her who she expects to remember her birthday... Furthermore we could have for memory model core preface that has a summary salient points (for information) and identities (entities/objects and/or interactions/activities).

Then there is a new search engine dictionary/Encyclopedia keyword search where the person each you enter creates a (including Multidimensional Internet and/or Search Engine), Memory Model. The memory model mechanism works by identifying (Artificial Intelligence can sort and identify eg. spelling of name/label, compartment that is being viewed, objects/entities dimensions, trunk versus appendages, sizes, shapes, supported by two and/or four legs sitting/sleeping/resting positions...

The search engine dictionary/Encyclopedia uses key word clues (entities/interactions/ideas...) that the person believes is linked/connected to the sought answer either starting with 1. then 2. below or start with 2. then 1. below or for speed the Artificial Intelligence could both ends of the candle.

1. Rank most unique clues and their linkages/relationship to the answer.
2. Group that the clue and the linkage/relationship can belong to which can be measured by match and fit in terms of sharing the common same characteristics, by identifying group type, then the Artificial Intelligence looks at the differences between what is known and believed about the sought content/characteristics (first to try for an easy definitive fast answer) we check these known/believed contents/characteristics to see we can eliminate the rest of the group. Groups can be checked by tackling the most easy to identify/recognize well known depending on the person's education and extra training and/or experiences.
3. If we can't find a suitable candidate then check other memory models for other clues. We can check pre recorded memory models (with related clues of clues - broader picture in relationship and then scope down, zoom in on these clues and their ) that correlate in relationship and repeat the process of 1. and 2.

and/or combinations of matches that aren't decisive by themselves but together make a secure lock combination (eg. the chances of such combinations matching are small and then search other clues that exist that when put together are even more decisive).

The entities/objects can be sorted by emotions, eg. in a hallway/room where the happy things come first with the unwanted/undesirable things at the end of the hall to save the person time; and/or the most intense things are at the top of the stacked shelves and the most boring are at the bottom ... this is logical since the cream rises to the top, and the higher represents lofty things. There could be an average (generic and/or personal) neutral mark. Also strong motivational emotions that are commonly found driving people in general especially when it comes to information and socializing versus professional responsibilities include curiosity and high frequency of use.
We could colour code the spectrum of desired to undesired representations of the emotions. Neural Links could be used to compare your emotional colour to the generic/or customized by website owners colour spectrum response to that same entity/object (benchmarking is)...

Groups are identified by the characteristics that binds members together to the core (by important - ulterior purpose), and/or important characteristics (sometimes identification is the purpose in itself of identity is expected to shed light on - jog memory as to the details of usage) ... there are different levels of clues closeness level of relevance based on the core purpose and the necessity of the clue to the core purpose (longer and/or shorter linkages/pathways) - like peeling an onion there is a core purpose then linkages/pathways (lines that lead out that can be viewed by lengths of linkages/pathways that fall under each layer...clues that stand out can be larger (entity/objects/interactions/activities) landscapes, and/or colour coded...the thickness of the linkage between the clue and the core could represent frequency and duration and sum of durations of usage over different organized/sorting cycles by counted by hours/days/weekday to weekend/weeks/months... and when nothing turns up after the above, there are fringe clues that can be just related by casual interest or other casual relationships/linkages/pathways that we can link to other possible clues that may turn something up. Even comprehensively studying every fringe clue and their systems and parts.

In a Multidimensional room, we could also put objects/entities/interactions/written-voice narrated material/videos in boxes (possibly colour coded for any and all the sorting/organizing methods above and/or including importance based on where you are in your attempts to fill your priority of needs (which determines how you values rank back and forth in ranking of wanting to have and trying to avoid), whereby dragging the cursor or touching once lists the dimensions/size (most easy to categorize), name (the more unique and familiar to person the better)/label, representative key word, picture, front picture of objects/entities interactions/activities...

Traditionally search have been done via Introduction/Abstract may find a very brief and inadequate coverage of a subject; background my be interesting for history aficionados;
Main Body can be divided into chapters, you may extrapolate that the subject you may be looking for is covered based on the table of contents (or you can look up the index - for key word search) ... you can measure the value type that are related directly to you or as a secondary and/or third part relationship, and the amount of value (logical) of the key words and what the chapter/page/paragraph/sentence is trying convey (whether it is a story the provokes/entertains and/or a report of some form and/or any and all documents, information in any form...writing/verbal/beliefs/thought - experience...groups of parts that belong (logically/beliefs and/or definite facts and/or emotionally) eg. group of Departmental Managers (parts) to larger systems that whereby (in the same format as a corporate hierarchy), these are represented for easy convenience as (traditionally represented as a position that they belong to title/label eg. Departmental Vice Presidents (whose coverage of parts are represented by the title/label of the VP Dept. they belong to) and all the responsibilities these VP's Department covers), and these VP's in tum are parts that belong to the group of the President of that department (more macro system).
Except systems/parts relationship for Gerard Voon's Artificial Intelligence/Neural Links/Logical Language/Multi Screens/Haptic and/or smaller screen devices/Multidimensional Internet and/or Memory Models can cover knowledge of various of fields of expertise...

We could have Multi Screens cafes (coffees/teas/juices/supplements/caffenated/electrolytes/creatine/drinks and as well concentration drinks), next to hotels/resort hubs, and Stationary Centres (for business/work) also for Social we could locate our cafes in entertainment districts and box/rooms, we could also have availability of Neural Links interface, multiple - haptic/or regular laptop screens that zoom in on representative systems/parts via plug and play into the Multi Screens rooms, even tablet and table haptic collaborative work, Artificial Intelligence, Multidimensional Website (with option for 3-demensions and/or eyeglass screens as well as the Laptop alternate function). Some high end computers could have the hardware/software (the processing chips and/or memory capacity is situated in the café location itself and/or some of the café site computers share (eg.
mainframe or some high speed and capacity processing and memory capacity) and/or some computers that work online renting time for processing power and memory capacity of an internet source (using a very fast modem) and/or television consoles.

Re: We can also organize (perhaps with the Artificial Intelligence having a high level of mastery of the tropics covered and relevant in the information)... (GP 0.02%) 1. Why (reason)?
2. Where (site/location/cascading)?

3. When (time/length/duration/rate of change)?
4. Who (identity)?
5. Which (identities/things/substitutes)?
6. How (methods techniques of accomplishment)?
7. How (dimensions/measurements/operations)?
8. How to?

Re: New Computer Hardware/Audio/Visual/Entertainment Design Both Computer Hardware Case and/or Audio/Visual/Entertainment devices (except for the screen)...The computer hardware could have multiple levels of flat (horizontal) orientated -stacked (versus the current standing vertically tall) version(s) where each level of flat devices can have various circuit boards including memory, chips, sound, modem any and all cards, sockets, recordable mediums...modular and/or plug and play which are interoperable with all makes and brand and/or stacked into multilevel cabinet On the other hand Audio/Visual/Entertainment box devices (eg.
amplifier/radio/Blue Ray/CD/toggle switch/Graphic Equalizer/cable set top boxes/video games consoles/Artificial Intelligence consoles...are reduced to circuit boards with that are added to large computer box type standing vertically tall with front end access to recordable external memory media.
CA2642401A 2008-11-20 2008-11-20 Computing technology/artificial intelligence/neural links and/or multidimensional internet Abandoned CA2642401A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CA2642401A CA2642401A1 (en) 2008-11-20 2008-11-20 Computing technology/artificial intelligence/neural links and/or multidimensional internet

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CA2642401A CA2642401A1 (en) 2008-11-20 2008-11-20 Computing technology/artificial intelligence/neural links and/or multidimensional internet

Publications (1)

Publication Number Publication Date
CA2642401A1 true CA2642401A1 (en) 2010-05-20

Family

ID=42212052

Family Applications (1)

Application Number Title Priority Date Filing Date
CA2642401A Abandoned CA2642401A1 (en) 2008-11-20 2008-11-20 Computing technology/artificial intelligence/neural links and/or multidimensional internet

Country Status (1)

Country Link
CA (1) CA2642401A1 (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105934112A (en) * 2016-05-14 2016-09-07 魏会芳 Electrical installation machine with function of touchable searching of bus route
CN106779858A (en) * 2016-12-26 2017-05-31 西安理工大学 A kind of product analysis method based on multidimensional perception information semantic level association
US9962837B2 (en) * 2016-01-22 2018-05-08 HONG FU JIN PRECISION INDUSTRY (WuHan) CO., I System and method of controlling robot by brain electrical signals
US20180217722A1 (en) * 2017-01-31 2018-08-02 Wipro Limited Method and System for Establishing a Relationship Between a Plurality of User Interface Elements
CN111221962A (en) * 2019-11-18 2020-06-02 重庆邮电大学 Text emotion analysis method based on new word expansion and complex sentence pattern expansion
US20220091726A1 (en) * 2020-09-22 2022-03-24 Servicenow, Inc. User Interface Generation with Machine Learning

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9962837B2 (en) * 2016-01-22 2018-05-08 HONG FU JIN PRECISION INDUSTRY (WuHan) CO., I System and method of controlling robot by brain electrical signals
CN105934112A (en) * 2016-05-14 2016-09-07 魏会芳 Electrical installation machine with function of touchable searching of bus route
CN105934112B (en) * 2016-05-14 2018-10-23 泉州台商投资区雷墨设计有限公司 A kind of electrical installation machine with tangible inquiry bus routes
CN106779858A (en) * 2016-12-26 2017-05-31 西安理工大学 A kind of product analysis method based on multidimensional perception information semantic level association
CN106779858B (en) * 2016-12-26 2019-10-25 西安理工大学 One kind being based on the associated product analysis method of multidimensional perception information semantic level
US20180217722A1 (en) * 2017-01-31 2018-08-02 Wipro Limited Method and System for Establishing a Relationship Between a Plurality of User Interface Elements
CN111221962A (en) * 2019-11-18 2020-06-02 重庆邮电大学 Text emotion analysis method based on new word expansion and complex sentence pattern expansion
CN111221962B (en) * 2019-11-18 2023-05-26 重庆邮电大学 Text emotion analysis method based on new word expansion and complex sentence pattern expansion
US20220091726A1 (en) * 2020-09-22 2022-03-24 Servicenow, Inc. User Interface Generation with Machine Learning
US11625141B2 (en) * 2020-09-22 2023-04-11 Servicenow, Inc. User interface generation with machine learning

Similar Documents

Publication Publication Date Title
Hernandez et al. The principles of multimedia journalism: Packaging digital news
Good From scrapbook to Facebook: A history of personal media assemblage and archives
CN104903889B (en) content organizing method
Odom et al. Placelessness, spacelessness, and formlessness: experiential qualities of virtual possessions
Trott Innovation management and new product development
Torrey et al. Learning how: the search for craft knowledge on the internet
Ondieki Makori Bridging the information gap with the patrons in university libraries in Africa: the case for investments in Web 2.0 systems
CA2642401A1 (en) Computing technology/artificial intelligence/neural links and/or multidimensional internet
Pence Future of artificial intelligence in libraries
Widén Individual, social, and cultural approaches to knowledge sharing.
Kiszl et al. The “collage effect”–against filter bubbles: Interdisciplinary approaches to combating the pitfalls of information technology
Maloney et al. Records as records: excavating the DJ’s sonic archive
Aragon The Lady revolution in the age of technology
Alkhoven et al. NEW RESEARCH PERSPECTIVES FOR THE HUMANITIES: SYMPOSIA: THIRD CONFERENCE OF HUMANITIES AND INFORMATION AND COMPUTING TECHNOLOGY
Janning Love letters: Saving romance in the digital age
Celikoglu Three dimensions of lace: Reading the meaning of a traditional product from different perspectives
O'Neill The Rise of the Citizen Curator: Participation as Curation on the Web
Ståhlbröst et al. Enriching the process of appreciating needs with storytelling
Haines et al. Mobilising the Energy in Store: stored collections, enthusiast experts and the ecology of heritage
Li LIS 2019
Clarke et al. The Digital Archive of Artists’ Publishing (DAAP): An email conversation with Ami Clarke and Lozana Rossenova
Wang An overview of technology trends and innovation potential in recording, storing, dissemination, presentation, application and creation of knowledge
Ma Using hierarchical folders and tags for file management
Baur The songs of our past: Working with listening histories
Nelson et al. The New Art Museum Library

Legal Events

Date Code Title Description
FZDE Dead

Effective date: 20121120