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JEFFREY EPTEIN.NET
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Jeffrey Epstein AI
Advancing Artificial Intelligence
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Currently in AI: Jeffrey Epstein Helps Launch AI in Ethiopia
Artificial Intelligence and information technology is actually thriving in Ethiopia thanks to an innovative Al
group in Hong Kong called OpenCog and the funding of the Hong Kong government and the Jeffrey Epstein
VI Foundation in New York. The recipient of funding was the Al lab in Sidist Killo, called Addis Al Lab and
it has quickly become the computer science pioneer in Sub-Saharan Africa.
"We are very excited by the technology coming out of the Addis Al Lab," Jeffrey Epstein asserted, founder of
the Jeffrey Epstein VI Foundation, which supports cutting edge science research around the world. "With
economic and education growth rates as one of the highest in the world, it makes perfect sense to lay an Al
foundation in the heart of Ethiopia's capital."
In fact, Ethiopia has an astounding foundation for science technology: 95% of students graduate from primary
school, 60-70% from high school, and there are almost 100 universities. The software market has also doubled
in the past three years and the Ministry of Trade and Industry has registered over 700 licensed companies in
computer technology and 95 software and computer networking businesses.
Similar to OpenCog, its founder in Hong Kong, the Addis Lab provides free, open-source programming to the
community at large and collaborates with universities, schools and the government, such as the Addis Ababa
Institute of Science and Technology. Founded by Ben Goertzel, Chairman of OpenCog and Getnet Asefa,
Manager and co-founder of Addis Al lab, the team's focus includes machine learning based data analysis,
computational linguistics, computer vision, mobile robots and cognitive robotics, cognitive architectures and
artificial general intelligence.
"Addis Al's goal is to further sustainable and cutting edge development in Ethiopia and Africa by what's
called, technology leapfrogging: jumping straight into advance technological applications to save time and
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keep up with the developed world," Jeffrey Epstein commented. "Ethiopia has the ideal educational basis for
this and to be catapulted into the future."
ABOUT PAGE:
About Jeffrey Epstein AI
Jeffrey Epstein AI funds an array of innovative projects in the field of Artificial Intelligence.
Since its inception as a formal field of study in the 1950's, Artificial Intelligence (Al) has
advanced substantially but has also fragmented into many different areas and goals of research.
As a result, there is much need for consensus building, classification and collaboration in the
field of AI. Jeffrey Epstein Al provides valuable funding and support not only in furthering AI
research around the world, but also in unifying it, to help scientists collaborate and achieve their
vision.
Jeffrey Epstein AI was established by science philanthropist and New York financier, Jeffrey
Epstein as a division of the Jeffrey Epstein VI Foundation. The Jeffrey Epstein VI Foundation
funds cutting edge science research around the world and established the Program for
Evolutionary Dynamics at Harvard University, which studies the evolution of micro-systems
with the use of mathematics. The foundation also maintains a keen interest in neuroscience,
cognition and the brain.
What is Artificial Intelligence?
Artificial Intelligence (AI) is any man-made machine that can process information and react to it
in some productive way. John McCarthy, the brilliant computer and cognitive scientist, who
coined the term in 1955, defined Al as "the science and engineering of making intelligent
machines."
"Although the study of AI dates back to 300 B.C. when binary coding was explored, Al was
formerly established as a field of study at a conference at Dartmouth College in the summer of
1956", Jeffrey Epstein points out. The attendees, including John McCarthy, Marvin Minsky,
Allen Newell and Herbert Simon all became AI pioneers in the decades to come. Together with
their students, they wrote programs that were astonishing: computers solving word problems in
algebra, proving logical theorems and speaking English.-By the mid 1960's, however, computer
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technology remained hugely expensive and inaccessible and research in the U.S. was limited for
the most part to the Department of Defense.
By the 1980's, Al research was revived by the introduction of home computers, led by IBM and
`expert systems', programs that ran on basic linear analysis. And by the 1990's and early 21st
century, Al was increasingly used for commercial purposes, such as data mining, logistics,
medical diagnosis and many other areas throughout industry, with Oracle playing a key role
alongside IBM.
By the turn of the century, AI was advancing substantially in basic language programming, linear
binary coding and robot technology. At the same time, advances in neuroscience and brain
diagnostics encouraged numerous academics to have AI emulate human cognition and the brain.
The ease of basic programming compared to the gargantuan task of emulating the human mind
however, created somewhat of a plateau in AI research because it became quickly clear that basic
algorithmic coding would have to morph into something more complex. "AI research, like all
science research will advance in spurts," Jeffrey Epstein commented, whose foundation supports
many eminent and Nobel scientists around the world, including Marvin Minsky's AI Lab at MIT.
"Linear coding will exhaust itself, if it hasn't already. Someone will create an entirely new
virtual platform to emulate the mind, and that will launch a new generation of AI discovery."
Indeed, over the last decade, AI scientists have been pushing the boundaries of linear algorithms,
creating virtual software platforms that embody associative, dissociative, memory, basic survival
needs and a host of other variables that effect pathway reactions. And while many AI scientists
aim to encapsulate the human brain, it's not the Holy Grail for all Al research. For some, AI
research stands as a provocative tool to explore and better understand human cognition. And not
just that, but to find and unleash new cognitive capability.
There is of course, an increasingly blurred line between purely mechanical Al, and OI, organic
intelligence. On one end of the spectrum, there's the computer, robot, cell phone and microwave
and on the other, the human being, animal, plant or organic cell. But between the two spectrums,
there's a growing fusion: the development of nano-technology and implanted micro-machines
for example, alleviating pain, vascular plaque, pacing the heart, regulating brainwaves and
targeting cells; or the implementation of modified genes expressing desired traits. But if we're on
track to creating the first generation of borgs, where both intelligences can serve each other,
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there's no doubt that it will catapult us towards some kind of cognitive unknown; a cerebral land
of Oz.
Today, Jeffrey Epstein AI sponsors many leading scientists at the forefront of AI research,
including Marvin Minsky and Seth Lloyd at MIT, Ben Geortzel in Hong Kong, David Hanson of
Hanson Robotics in California and Joscha Bach in Berlin. Jeffrey Epstein AI also backs key
foundations in Artificial Intelligence, including the OpenCog Foundation and Humanity +.
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Jeffrey Epstein Al Projects
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Marvin Minsky and MIT's AI and Media Labs
Jeffrey Epstein AI has played a key role in furthering Al research at MIT's Artificial Intelligence
labs. The labs are still overseen by the eminent AI cognitive scientist, Marvin Minsky and stand
at the forefront of AI cognitive and neural research.
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Marvin Minsky
Professor Marvin Minsky is one of the most established cognitive scientists in the field of
Artificial Intelligence and the co-founder of MIT's AI laboratory. He is the recipient of
numerous awards including the Turing Prize, the Japan Prize and the author of numerous books
and publications on Artificial Intelligence. In 1951, Minsky built the first randomly wired neural
network learning machine called, SNARC. In 1957, he invented the first confocal microscope
(the precursor to the widely used laser confocal microscope today). In 1963, he invented the first
head-mounted graphical display.
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Minsky's pivotal books include: Perceptrons, a foundational work in the analysis of artificial
neural networks, "A Frameworkfor Representing Knowledge" which created a new paradigm in
programming and The Society of Mind, the theory that intelligence could be a product of the
interaction of non-intelligent parts. The Emotion Machine, published in 2006, critiques popular
theories of how the human mind works and suggests alternative and more theories.
MIT AI Lab and Media Lab
The MIT Media Lab focuses on computer and AI technology research that is at the cutting edge,
outside of mainstream study. The lab covers such areas as wearable computing, tangible
interfaces, and affective computing. Faculty, staff and students work in more than 25 research
groups on more than 350 projects ranging from digital approaches for treating neurological
disorders, to a stackable, electric car for sustainable cities, to advanced imaging technologies that
can see around a corner. The Lab operates on a $45 million budget and currently has 80 active
members.
The MIT Computer Science and AI Lab, known as CSAIL, is the largest research laboratory at
MIT and one of the world's most important centers for information technology research. The
building is designed by Frank Gehry, has more than 100 senior research scientists and faculty
members, over 40 postdoctoral fellows and associates, 350 graduate students and 50
undergraduates. Over the years, CSAIL and its members have been instrumental in
developments such as time-sharing, massively parallel computers, public key encryption, the
commercialization of robots, and much of the technology underlying the ARPANet, Internet and
the World Wide Web. To date, CSAIL members have started over 100 companies, including
3Com, Lotus Development Corporation, RSA Data Security, Akamai, iRobot, Meraki, ITA
Software and Vertica. CSAIL is also home to the World Wide Web Consortium (W3C), directed
by Tim Berners-Lee, inventor of the Web and a CSAIL member.
Under the direction of Professor Daniela Rus, CSAIL members conduct research in practically
all areas of information technology, including artificial intelligence, the theory of computation,
systems, machine learning and computer graphics. Presently in focus are projects that tackle the
hurdles of big data, creating new models for wireless and mobile systems, software protection
and developing a new generation of robotics.
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Ben Goertzel and OpenCog
Jeffrey Epstein AI continues to fund research at the OpenCog Foundation based in Hong Kong.
Headed by prominent Al scientist, Ben Goertzel, OpenCog, is both an open software
programming company and a foundation for artificial intelligence scientists. OpenCog's software
products offers unique programming language for all AI scientists to use and share. As such, it
provides a pivotal tool in unifying and accelerating Al research around the world.
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Ben Goertzel
Ben Goertzel is the Chief Scientist of the financial prediction firm Aidyia Holdings. He is
Chairman of the Al software company Novamente LLC, the bioinformatics company Biomind
LLC, which provides advanced Al for bioinformatic data analysis (notably microarray and SNP
data); Chairman of the Artificial General Intelligence Society and the OpenCog Foundation. He
is also Vice Chairman of the futurist nonprofit Humanity+ organization and magazine. Goertzel
is general Chair of the Artificial General Intelligence conference series and advisor to the
Machine Intelligence Research Institute (formerly the Singularity Institute).
OpenCog Foundation
Based in Hong Kong and funded in part by the Hong Kong government, OpenCog's main
mission is to not only emulate the circuits of human intelligence in a machine but to explore
beyond human intelligence and create a world of `super' intelligence. As an open software
company, OpenCog scientists share their programming with the AI community at large, hoping
to accelerate and unify the field.
One of the software tools that OpenCog has developed is called OpenCogPrime. OpenCogPrime
programs a wide range of projects including simple virtual agents in virtual worlds. It is also
being tested to control a Nao humanoid robot. See http://novamente.nettexample for some
illustrative videos.
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Another programming tool is OpenCog Framework, which is being used for natural language
applications, both for research and by commercial corporations. OpenCog Framework provides
an OS-like infrastructure, stable API's and encompasses components using C-HF Templates and
the Boost libraries, including:
• AtomSpace a shared library for fast in-memory knowledge representation, providing
hybrid data structures to integrate and manipulate connectionist and symbolic knowledge.
• CogServer a container and scheduler for plug-in cognitive algorithms.
Various OpenCog projects currently using OpenCog Framework include:
• Cognitive algorithm plug-ins MOSES, PLN and others.
• Interfaces and proxies, e.g. CogBot an interface to OpenSim
• An integrated natural language processing pipeline, together with its stand-alone but
closely coupled projects, e.g. RelEx and Link Grammar
• Embodiment containing the code to connect OC to virtual worlds and implementing a
virtual pet and humanoid agent
"One of the best ways to speed up scientific research, is to facilitate communication," Jeffrey
Epstein pointed out, whose own foundation organizes and funds science conferences. "The
first step in communication is to have everyone speaking the same language. To this end,
OpenCog's programming is an essential tool for the AI community."
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HUMANITY +
Humanity + is a non-profit foundation which advances the ethical use of technology to expand
human progress. The organization has more than 6,000 members from more than 100 countries.
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Humanity +
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Humanity + is an international non-profit foundation with more than two dozen chapters around
the world. Advancing ethical and responsible technology to further human progress is at the core
of its mission.
Humanity + has several main platforms:
Conferences: international conferences are held every year for corporations, officials and
industry to review their own technology and its relationship to humanity. Recent conferences
have been held in Beijing, China, San Francisco State University, Polytechnic University in
Hong Kong, Parsons, The New School for Design in New York City, California Technology
Institute, and Harvard University.
"Conferences facilitate collaboration," Jeffrey Epstein remarked. Humanity +'s conferences are
intimate, so that members can really meet." Jeffrey Epstein own foundation has organized
several pivotal conferences over the last decade, including a group of Nobel scientists to discuss
the consensus on gravity, another to address global threats to the earth and another on the origins
of language.
H+ Magazine: Humanity +'s monthly magazine covers technological, scientific, and cultural
trends that are changing humans in fundamental ways. H+ Magazine also focuses on some of
the most revolutionary inventions that are quickly merging the realms of science fiction and daily
life. Humanity + Magazine provides a powerful platform for AI and technology scientists to
share their vision and work with the larger community.
H+ Virtual Edu TV: is a newly launched television series which discusses provocative questions
about emerging and speculative technologies and their socio-cultural role in our lives. The series
is located at teleXLR8.
H+ Student Network: is a rapidly growing international student network devoted to discussing
and furthering trans-humanist ideas. The H+SN provides opportunities for university-level work
and research in exploring the promises and perils of technology and the future of humanity.
Humanity + Press: is Humanity +'s publishing division. Founded in 2010, H+ Press publishes
books and other works to promote collaboration between technology and humanist values.
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Recent publications include: A Cosmist Manifesto, by Ben Goertzel and H÷ Summit Harvard
2010, a collection of abstracts from the corresponding conference
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Joscha Bach and MicroPsi
Cognitive Artificial Intelligence has classically been the study of emulating cognitive behavior in
machines. Dr. Joscha Bach and his programming organization, the MicroPsi 2 Project however,
aim to achieve the reverse: not to translate cognition into AI, but to see what AI can reveal about
cognition.
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Joscha Bach and MicroPsi 2
Based in Berlin, Germany, cognitive Al scientist Dr. Joscha Bach has been a professor, cognitive
researcher and software entrepreneur at Humboldt University in Berlin. He is also the author of
Principles of Synthetic Intelligence (Oxford University Press).
Cognitive Artificial Intelligence has classically been the study of emulating cognitive behavior in
machines. Dr. Joscha Bach and his programming organization, the MicroPsi 2 Project however,
aim to achieve the reverse: not to translate cognition into AI, but to see what AI can reveal about
cognition.
Specifically, MicroPsi Project is a series of software programs that strives to create emotionally
driven agents in a virtual computer platform. To achieve this, MicroPsi programmed three types
of basic survival needs or drives into the characters: physiological (i.e., hunger), social (i.e.,
affiliation needs), and cognitive (i.e., reduction of uncertainty and expression of competency). So
that when the agents receive and process information, these three emotional drives either get
depleted or filled, influencing goal formation, knowledge selection and application. The resulting
architecture generates new kinds of pathway behaviors, including context dependent memories,
socially motivated behavior, and internally motivated task switching.
This emotion driven architecture also includes several knowledge trait templates: temporal
structures, spatial memories, and new information processing mechanisms and behaviors,
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including progress through types of knowledge sources when problem solving (known as the
Rasmussen ladder), and knowledge-based hierarchical active vision.
The results of all this complex architecture are visually displayed on a computer screen in a
simulated tropical island. But what might look like a simple video game is actually a platform for
highly complex emotionally driven agents to move around in.
The first MicroPsi Project built between 2003 and 2009, has more than 60,000 lines of Java code
with plugins for Eclipse IDE. MicroPsi 2 is written in Python; and unlike standard code, Python
uses graphical and spatial definitions for its characters. The graphical format allows for more
precise associations, conceptual hierarchies, pathway activation spreading, perceptual schemata
and parallelism.
"The use of a virtual platform to explore human cognition provides optimal flexibility," Jeffrey
Epstein asserted. "Scientists can avoid the expensive and complicated logistics of robotics."
Bach doesn't see the MicroPsi 2 Project as being anywhere near a valid cognitive model but
rather as an evolving effort towards a unified theory of cognition.
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MEDIA page
Jeffrey Epstein AI Media
Jeffrey Epstein Launches Radical Emotional Software
(hyperlink to
Forbes
Jeffrey Epstein Launches First Humanoids in Berlin
(hyperlink to
ief b 4262369.html)
Huffington Post
Jeffrey Epstein Al Helps Launch Artificial Intelligence in Ethiopia (hyperlink to
artificial-intelligence-in-ethiopia.html)
The Street
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Jeffrey Epstein Funds Free Thinking Robots (hyperlink to:
Digital Journal
BLOG page
The Jeffrey Epstein VI Foundation Blog
Input RSS Feed here from
EVENTS PAGE
Jeffrey Epstein Al Events
CONTACT PAGE:
Contact Jeffrey Epstein AI
Jeffrey Epstein AI/ Jeffrey Epstein VI Foundation
575 Lexington Avenue
4th Floor
New York, NY 10022
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