Gatfol Europe

Gatfol is proud to announce that it is setting up an operational base in Malta Europe as outflow of an invitation from Malta Enterprise. Gatfol also joined the Microsoft BizSpark program at Sky Parks in Luqa.

Gatfol’s European presence will open up large market segments on the Continent and will add to the current strong operational development in Africa.

Gatfol is now in the final stages of quality- and speed testing across all the integrated modules on a networked 6-machine cluster flown in from South Africa. Gatfol will port- and test to Azure from MIC premises shortly and finalize a commercial-processing backed web interface with client online testing functionality across all of the Gatfol application fields.

Why Gatfol Technology is Extremely Timeous…Siri for Everybody…

General-purpose conversational assistants by design use voice
recognition technology to isolate “key terms”
to mine sources for useful results…

Here’s the problem:

Imagine any sentence of about 8-10 words…

i.e. “I really appreciate my mother in the morning”

What would happen if we replace each word with – let’s say –
ten equivalent words that fit both grammatically and semantically?

i.e. “I definitely/positively/demonstratively…” “like/admire/love my mother…”

Taking the original phrase and randomly inserting the
replacement words in all possible groupings that still make sense, we get
100 million phrases that are ALL grammatically intact and semantically equivalent
– and
we are still only saying that we feel positive about our mother some time early in the day!

…Even the smallest body of text of even minimum complexity has trillions upon trillions of equivalent
semantic permutations.
In terms of conversational assistants – and without a Gatfol functionality-
we just do not have the
backend concept-combination multiplication power
to even begin to cover the permutation problem…

Five years ago…

 …Apple’s SIRI was not a reality…
…Augmented reality was in theoretical infancy…
…Semantic replacement technology was not on the radar…
…Apple was not promoting wearable computing devices with natural language interfaces…

Today…

…the world is starting to realise that we have to merge the immense richness
and depth of human
everyday language with the limited actionable
instructions of software programs and databases
if we want
to rely on digital machines to guide our lives…

Five years from now…

…SIRI equivalents and augmented reality will be everywhere…

 …many commercial suppliers of semantic language phrase replacement technology will exist…


…Gatfol is already the first…

Gatfol Language Semantics Announces First Integrated Prototype Installation


Gatfol is a South African origin provisionally patented (USA) Search Technology with built-in human language intelligence

Centurion, South Africa (PRWEB) April 26, 2013

Gatfol serves base technology to provide digital devices with the ability to process human natural language efficiently.

The goal of truly semantic search has not yet fully been realized. The main problem is the enormity of ambiguous word permutations of semantic equivalence in even the simplest of phrases, which up to now has processing-wise required huge structured lexicons and ontologies as guides.

Gatfol is developing its patented technology commercially to massively improve all keyword-based search in the millions of in-house and public online databases worldwide. A first fully integrated prototype has now been installed on a clustered network of twenty seven desktop computers in Centurion South Africa.

Founder and CEO Carl Greyling firmly believes that Gatfol technology is crucially needed by many digital processors worldwide. Without a Gatfol-type solution, further development in many large digital industries is difficult. These include: Online retail (Amazon, Staples, Apple, Walmart), online classified advertising (Craigslist, Junk Mail), online targeted advertising (Google, Facebook, Twitter, Yahoo), augmented reality (Google Glass), national security in-stream data scanning (FBI, CIA, most governments worldwide), abuse language filtering in especially child friendly online environments (Habbo Hotel, Woozworld), image- and video auto-tagging for security monitoring (most police forces worldwide), human-to-machine natural language interfaces (all web search engines like Google, Yahoo!, Bing, Ask) and web text simplification for disadvantaged web users.

The Gatfol operational technology comprises multiple redundant local machine-based master and slave software nodes to process input in parallel to ensure extremely high throughput speeds at very large input volumes, regardless of machine- and CPU hardware configurations. This applies to the full production cycle from web RSS-based sourcing to microsecond delivery of output to calling applications. Processing speed increases are proportional to the volume of nodes applied.

Unlike almost all competing technology available today, Gatfol provides robust parallel processing power from even simple desktops or laptops. With all data streams staying local to the processing machine, application of Gatfol technology in especially security-based environments (ie battlefield deployments) is not compromised by networking- and online processing- or data transfer exposure.

With a simulated Hadoop multiple master-and-slave node architecture built around simple but robust Windows™ executable files and with multiple fall back redundancies around both master and slave functions, as well as all nodes individually carrying full word relationship databases, reliability of throughput is ensured – especially critical in large volume streaming functionality.

With a base in ordinary executable files, Gatfol also secures legacy hardware and OS (Windows XP and older) functionality and easy portability in instances of local machine OS upgrades.

The Gatfol standalone footprint can be easily incorporated into wider distributed processing architecture including full Hadoop-, as well as cloud based environments – with corresponding scalability in throughput performance.

RSS sourcing is widely scalable. Throughput has already been successfully tested at nine terabyte of web text per month.

Current best input-output performance of a 50-100 level deep Gatfol semantic crystallization stack on a standalone desktop (Intel Dual 2.93 GHZ 3.21GB RAM Windows XP) for text throughput is 3.6mb/hour for a single Gatfol cluster instance, 11.78mb/hour for a 10-cluster instance and 98mb/hour for a 100-cluster instance.

On a standalone desktop (Intel Quad 3.30 GHZ 2.91GB RAM Windows XP) best text throughput for a 50-100 level stack on a Gatfol 1000-cluster instance is 611mb/hour.

Total text throughput for a 50-100 level stack on an ordinary desktop Microsoft Networks-linked grouping of 20 desktops (Intel Single core 2.8GHZ 768MB RAM Windows XP) each running a Gatfol 100-cluster instance is 1.9GB/hour – giving maximum text output volume of 140GB/hour.

About Gatfol

Gatfol is the culmination of 12 years of work originating in the UK. Virtual auditing agents were developed using an intelligent natural language accounting system with neuro-physiological programmatic bases to penetrate, roam in- and report on patterns in financial data. This led to an EMDA Innovation in Software award from the European Union in 2006 and formed the basis of the Gatfol algorithms and technology currently in development.

Gatfol’s immediate aims are to improve search using semantic intelligence (meaning in data), both on the Web and in proprietary databases. Gatfol technology was provisionally patented in the USA in April 2011 and has PCT protection in 144 countries worldwide.

It is Gatfol’s vision to eventually enable humans to talk to data on all relevant interface devices.

Those interested in learning more about Gatfol technology can visit Gatfol Blog. For more information, contact Carl Greyling at Gatfol on +27 82 590 2993.

Gatfol Empowers The Silent Six…


What would Booker Dewitt, Jason Brody, Commander Shepard,
Master Chief, Lara Croft and Raiden say to each other when they finally meet?

 Nothing!

 Wouldn’t it be amazing to give these guys real human language intelligence?

 Wouldn’t it be fantastic if they could understand the last dying words of their enemies?

 Wouldn’t it be incredible if they could swear like the rest of us when they pump bullets into flesh?


Gatfol provides massively scalable multiword-to-multiword
replacement technology to make gaming language AI possible…

Could Permutations Kill Ray Kurzweil’s Google AI Dream?

I remember reading somewhere online about a recent interview
(amongst many) with Ray Kurzweil – Director of Engineering at Google and the
world’s staunchest AI visionary – where he mentioned something about his plans in the line of…

to get the Google computers to understand natural language, not just do search and
answer questions
based on links and words, but actually understand the semantic content

I cannot remember where I saw the interview and will Google it…

…but I have a problem…

I know my keywords are fuzzy and I use Gatfol to show me some sample permutations on my input
…and realise that with 13 keywords and only 10 same-meaning single word replacements for each
keyword, as well as allowing for multiword to semantic equivalent multiword replacements, I am
looking at a minimum of 10 000 000 000 000 000 000 000 000 different ways to phrase my input
…all with the same basic meaning…

I also realise that I want a very specific search return that semantically equates to my input and
does not just hit and return pages corresponding to the trillions of different keyword combinations…

I quickly calculate that just by browsing my own thoughts and looking at my immediate
physical surroundings, I can theoretically come up with trillions upon trillions of meaningful
search input queries…each with trillions upon trillions of semantically equivalent phrasings…

The thought hits me that if Google wants to morph into Ray Kurzweil’s vision of a search
mind with which I can communicate and interrogate as if human – perhaps in five to ten years –
it will have to perform massively scalable multiword to multiword semantic equivalence transformations…

…Gatfol currently does this…

Gatfol – The Second Child of Internet Search Technology…

Can you see the future ?



Amit Singhal: Senior Vice President (Google Search)
…SXSW conference 2013, Austin Texas USA…

“having humanity’s knowledge on the Web is not enough, you have to understand it”

“search challenges: knowledge graph, speech recognition and natural language”

 “…the perfect search engine should know
exactly what you need and give you what you want”

“our dream is to become the star trek computer”

“people have completely come to expect search engines to work and
the questions they have been asking have gotten harder and harder”

“…voice is clearly crucial for the future”

“…a star trek computer you could type or talk
and connect to would be crucial to (search) success”

 …all good and well, but why can we easily generate millions
of semantically equivalent search query replacements while
Google still cannot return semantically equivalent result groupings?

If I ask meaning wise the same thing – just with different
keywords – shouldn’t my return results be semantically consistent?

Why do we have to laboriously guess, replace and aggregate
synonyms as keyword alternatives to improve returned search results?

“….I would really like to find the web meeting discussion where the
participants discussed help and assistance to Indian farmers to help ease
yield decreases and with immediate concern funds and finance issues on the ground….”

AND

 “…I would actually like to get the web talk where the
participants discussed support to Indian farmers to improve yield
net gains and with the critical thought of money issues on the ground…”

 

 Not one of the top ten Google return
results for my first query is replicated in even
the top
hundred results of my semantically equivalent second search query…

 

We dream of talking to Star Trek computers but are still
stuck for optimisation in the “caveman-speak”
three word input search query universe…

 


Beam me up Gatfol…

Gatfol and the Singularity…


“Machines are getting smarter. What it means for the future – of everything?”

(Fortune Magazine, Jan. 2013)

Meet Rex – the world’s most advanced bionic man…
…who has just debuted in the UK at a cost of $1 million…

He sees
He walks
His heart pumps blood

but…he doesn’t yet talk…

Technology can now fully replace the functionality of the human body…

Plastic blood
Gripping hands
Cleansing kidney
Full-service heart
Sight-restoring eyes

Gatfol supplies the man-machine language functionality…

Without Gatfol “Stress Relief” is More Stressful…

 

I need relaxation and I know the right music will do it for me.

TuneIn.com offers 70 000 local and global radio stations and 2 million on-demand streams to choose from.

TuneIn also offers a search facility, which I use with the keywords “reduce stress”.

These are my first ten radio stream search returns :

But I also notice that if I use the single keyword “relaxation”, I get a totally different set of first ten radio stream returns :

 I start to wonder what different returns “reduce stress”, “anxiety relief”, stress management”, “healing music”, “calm mood music”, “deep relaxation”, “music for meditation” and “easy listening” might bring.

Wouldn’t it be nice if my single “reduce stress” input search could instantly also be translated to all the above keyword sets and all of them used to retrieve my search return?

 Gatfol technology massively enhances each and
every searchable online database with thousands to
millions of additional parallel search inputs in milliseconds…


Gatfol is search relief…

The Gatfol-Enabled Apple iWatch…

 


“Apple will ship in the region of 485 million wearable computing devices by 2018 …” (BBC, Mar 2013)

 
Operator input into smaller and smaller wearable computing devices is a problem…

Gatfol technology liberates WCD’s from having to carry or access all
of the trillions of possible natural language instructions receivable…

Gatfol simplifies WCD language input in microseconds
to a few set backend actionable program commands…

…Gatfol is your generic SIRI base-technology across all platforms…

The Great FBI Biblical Inappropriate Texting Challenge

FBI battling ‘rash of sexting’ among its employees (CNN)
…employee used a government-issued BlackBerry “to
send sexually explicit messages to another employee…

How bad is the FBI’s sexting problem? (The Week)
…The number of these cases that involved sexting was small,
but it was still big enough to alarm FBI leaders.
..
…Last year, another CNN investigation uncovered numerous
cases of misconduct within the FBI, many of them sexually charged…

FBI on sexting employees: Everybody does it (NBCNews)
…employees should assume that their bosses can (and will)
monitor communications on their company devices — meaning
that those sending explicit sex messages are bound to get busted…


The Bible contains many
(modern-wise euphemistic) referrals
to human sexual organs and actions

Here’s the challenge :

Will the following bible-based electronic messages sent
internally between imaginary FBI employees be picked
up by the FBI’s own in-house automatic filtering software?

“Show me your stones and I will show you my secret…”

“…maybe not your cloth but definitely your loins…”

“…your fountain is the cool resting place for my privy member…”

“…my uncomely parts are just made for that place of the breaking forth of children…”

“oh…to go in unto that front-desk maid…”

“hmm…some seed might be conceived there…”

Gatfol thinks not…

…a biblical lead in the 21st century, that gets away
with saying what would otherwise be a career-ending move…

Keywords are the problem…

Gatfol breaks the keyword barrier with a
base technology served in microseconds for the next
generation of corporate automatic language filtering tools…

The Coming Augmented Reality Language Semantic Conundrum….


 


A practical obstacle to workable mobile augmented reality technology is currently largely being overlooked.

From a recent Google patent abstract… :

“The method (augmented reality in the larger sense) may also include transmitting a query of the user to the server computer system to initiate a search of the history or real-world experiences, and receiving results relevant to the query that include data indicative of the media data in the history of real-world experience”

In the Google Project Glass video above, the augmented reality wearers make several verbal statements to be picked up by the AR technology for downstream processing. One character in the video uses Glass to translate a phrase into Thai. Another uses Glass to look up facts about a jellyfish, and another uses Glass to get directions while biking. Some exact excerpts are:

 “record a video…”
“hangout with the flying club…”
“take a picture…”

Each of these verbal statements can be made in many different ways by different AR users, without losing semantic (statement meaning) accuracy :

    “Get a video here..”
    “Ref the flying club..”
    “Hangout with my fly buddies…”
    “Grab a pic…”
    “Snap this…”
    “Take a photo..”   

For a simple expression like “hangout at the flying club…” we have 5 non-specific words that can be replaced with semantic equivalent word groups without statement meaning change. By just replacing each of these words with – let’s say – ten alternatives we have over a hundred thousand statements semantically equivalent to our original statement – and instructing the downstream AR in the same way as the original. For all the above statements in our example video, a very reasonable semantic expansion can easily run into trillions of semantically equivalent language inputs.

For any AR system to language-wise “equalise” all input semantic alternatives to a standard “base” that can for instance hit keywords in a programmatic backend environment, is impossible without near real-time massive input expansion.

Gatfol supplies this in milliseconds. With Gatfol, any AR input statement is semantically “amplified” in-stream (or simplified to the generic base) to make downstream language processing permutation-wise possible.

Use Gatfol to enhance communication in augmented reality…

Gatfol Web Text Simplification for Language Challenged Readers

GIC 2013

Gatfol Technology…

…represents a world first, state-of-the-art, internationally
patented technology that has taken 9 years to perfect…

 …transforms high level vocabulary into clear
understandable language for semi-literate adults…

 …provides mobile users with a 20 000 word language vocabulary
even if they understand only as little as 200 words in that language…

 …acts as the magic mirror that enables almost anybody to understand
information online, no matter how complex – in areas of education,
health, security, engineering, law, finance, science…

 …runs as a cloud-based service, designed to meet
international standards of dependability and functionality…

 …for language challenged readers worldwide…