Get into the soul of the machine….
Ferrari number two is Gatfol-enabled
At Club de Golf near Arica in the Atacama desert in Chile…
Blue stones demarcate a “water” hazard
Grassless greens are slathered in used motor oil to make putting possible
Gatfol is a patented algorithmic semantic analysis technology
that makes strange and unusual sporting information easy to find
Use Gatfol to find out :
What is the best way to putt on sand ?
Who holds the Club de Golf course record ?
Why do many people play there in the first place ?
How many UFO sightings have there been at Club de Golf ?
Why do players leave no footprints whilst walking the course ?
Who is the famous actor in the red shirt and the Panama hat above ?
Has “human” activity at Club de Golf got an alien explanation as speculated ?
The Gatfol natural language semantic engine — algorithms for changing keyword input into man-to-machine questioning communication — has been in stealth development for over 9 years. With the current announced Beta release, Gatfol technology is now on the verge of providing the promised quantum leap data-access jump that is vital to keep major industries worldwide confidently surfing the information tsunami.
Within two months after announcement of patent filing and initial seed funding, founder and current CEO of Gatfol, Carl Greyling, releases news of the successful outcome of a second round of funding.
As detailed in the Gatfol blog, over twenty industries and Internet fields are now being covered by Gatfol technology, including: Banking, Content Filtering, Data Leakage Prevention (DLP), Image/Video Analysis, Neuro Tech Control, Online Advertising, Online Retail, Robotics, Security, Social Networking and Web Intelligence.
Gatfol attracted strong interest from investors worldwide in the recent funding round, including a funding group in the USA as well as local South African investors.
“We were fortunate in that we had a spread of opportunities to build on our current strong synergy-lined investor pool,” explains Greyling — and added that “It is critical for Gatfol to move within the next three months from the proven prototype technical environment to a full-scale large server outlay, preferably Hadoop cloud based, supported by ‘edge location’ push technology.”
According to Greyling, “With Gatfol Cloud we will be able to provide inline streaming semantic analysis in the millisecond production range, which is critical in helping large sub-second data-critical clients such as banks and search engines. Massive Gatfol Cloud roll-out is therefore where our latest funding will be utilised.”
Current projections are for the Gatfol prototype Beta release to be private for three months, with public Beta to be announced at the end of June 2012. Greyling says, “We would like Gatfol’s first public delivery to be as powerful as possible given available funding and reasonable final launch dates.”
Conceptual thought around the Gatfol algorithms was initiated roughly 12 years ago in the UK. The Gatfol technology currently in development received an EMDA Innovation in Software award from the European Union in 2006.
While it is Gatfol’s big vision to eventually enable humans to converse with all machines containing or routing data, a more immediate goal encompasses data search, as search is effectively talking to information. Current efforts are concentrated on applying Gatfol’s technology 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 is in process of being PCT protected in 144 countries worldwide.
Those interested in learning more about Gatfol technology can visit http://gatfol.com/blog.
A housefly is the most accomplished aerodynamicist on earth.
It can make six turns a second, hover, hurtle and do somersaults with 90-degree reversals – all with a brain smaller than a sesame seed.
The secret is in the fly being able to process multiple inputs to simple output extremely quickly. Roughly two-thirds of a fly’s entire nervous system is devoted to processing large streams of incoming stimuli. If these multiple signals had to be routed to an approximate equal amount of output permutations, a fly would be bogged down with process management very quickly. Instead – the massive amounts of sensory data is boiled down to a few basic commands such as “left”, “right”, “up” etc.
In the same manner Gatfol processing is able to perform multiword semantic conversions to single words extremely quickly. But – in addition to the fly – it can do the reverse (single to multiple) equally fast. This enables Gatfol to pick up core concepts in large datasets and like a fly – produce focused output to optimise operational input.
Gatfol crystallizes simple concepts from vague, extremely complex or ambiguous data
Gatfol is applicable across all industries where search – or analysis is involved