THE NEXT REVOLUTION IN BIOLOGY WILL BE BASED ON MATHEMATICS.

crazymeasleAI and Robotics

Oct 15, 2013 (3 years and 8 months ago)

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May 2, 2001




Kenneth Ashworth

Narrenschiff, Ltd.

Clinch’s House

Douglas, Isle of Man

IM99 1RZ, British Isles


Dear Ken,


Enclosed find the BIOwulf Private Placement Memorandum. Please e
-
mail me when you
receive it and hopefully nothing’s lost in trans
mission. There should be 69 pages in U.S.
format.


BIOwulf is an incredibly unique and exciting company. It is the dominant company
leading the next revolution in biology. Our technologic dominance of a field so new that
few scientists truly understand
it makes telling our story a non
-
trivial task. Hopefully, we
have succeeded.


As you face the task of succinctly explaining this opportunity to potential investors, let
me offer a list of bullet points that capture the essence of our story.




THE NEXT RE
VOLUTION IN BIOLOGY WILL BE BASED ON
MATHEMATICS.




BIOwulf has the most powerful Machine Learning mathematics group in the
world.




Professor Vladimir Vapnik, our team leader, (occasionally referred to as “our
Einstein” by his peers) provided a list of t
he two dozen Machine Learning
mathematicians world
-
wide whom he believed had the ability to advance the
science. Today, eighteen of those mathematicians are employed by BIOwulf.
Our situation is comparable to that of Einstein, Oppenheimer, Ferme, et al,
in the
early forties.




In GENOMICS, the number one tool today is the Affymetrics gene expression
chip. Presently, there is data from approximately one million of these chips in the
hands of pharmaceutical companies and universities. Using out of date
m
athematical analysis tools, they have missed most of the knowledge contained
therein. We have proven in head
-
to
-
head competition that we can uncover this
missed knowledge and that it is of tremendous value. This represents an
immediate major business opp
ortunity.




In the field of PROTEOMICS our proprietary algorithms working in concert with
our proprietary magnetic nanotechnology make possible the analysis of protein
function way beyond any other technology presently under development. We
have proof o
f concept and are presently building an instrument capable of taking
measurements on tens of thousands of proteins simultaneously. This
nanotechnology instrument could only be possible because of the power of our
mathematics to interpret the overwhelming
data output and will become the gold
standard for PROTEOMICS.




In the field of MEDICAL IMAGING our proprietary math makes possible precise
interpretation of images ranging from mammograms at one end of the spectrum
down to labeled molecules as they functio
n within the body. This is the first
commercial application of
in vivo

labeled DYNAMIC IMAGING, a field that will
ultimately form the basis of all medical practice. With the availability of our
proprietary MACHINE LEARNING, with its ability to handle lit
erally infinite
amounts of data, this field is about to explode. We will have insurmountable first
mover advantage.




We are Knowledge Vendors and the value of that knowledge easily exceeds $100
billion dollars. We will be paid for:




The proprietary analy
tics required to produce the knowledge.




Milestone payment for success.




Reach through royalties.




Our proprietary Machine Learning techniques are priceless yet math is cheap. A
team of Machine Learning mathematicians with a $20,000 computer and a
broadba
nd link to our supercomputer are capable of producing knowledge worth
billions of dollars in as brief a time as 3
-
6 months.




We are not capital intensive.




We are worldwide.




The profit margins on this type of knowledge vending are 90+% (e.g. electrons
thr
ough a computer).




The risk is minimal as we have already established our dominance in Machine
Learning.




The opportunities are massive and very wide ranging. Success in any single area
will create a multi billion dollar company. We expect to produce kno
wledge that
will fundamentally change many aspects of the practice of medicine.




If one studies the history of science, any time there is a two orders of magnitude
increase in the ability to perceive reality, fundamental change occurs.





The telescope made

possible the perception of the moons of Jupiter and
the entire concept of our solar system was changed forever.
(Galileo,1609)




The microscope made possible the perception that tiny “animals in the
blood” caused disease. The concept of disease as a myste
rious
unknowable force based on mysticism or evil vapors was changed forever.

(Leeuwenhuek, 1650)




Machine Learning applied to the life sciences will change the way in
which medicine is practiced forever.




BIOWwulf IS THE DOMINANT FORCE IN MACHINE LEARNING
.



Best regards,


Pete