gets its groove back
Dec. 26, 2014
decades of start-and-stop, artificial intelligence is being
advanced by major computing firms from Facebook and Google
was a burst of enthusiasm in the late 1950s and early 1960s
that fizzled due to a lack of computing power, Then there
was a great burst around 1985 and 1986 because computing
power had gotten cheaper and people were able to do things
they had been thinking about for a long time. The winter
came in the late 1980s when the enthusiasm was followed
by disappointment, and small successes did not turn into
big successes. And since then, as soon as we get anything
to work reliably, the industry stops calling it AI.
thanks to the availability of vast amounts of online data
and inexpensive computational power, especially in the cloud,
we are not hitting the wall anymore," Hammond says.
"AI has reached an inflection point. We now see it
emerging from a substrate of research, data analytics and
machine learning, all enabled by our ability to deal with
large masses of data. (Read
the main article)
Early-Stage Artificial Intelligence Startups to Watch
Nov. 22, 2014
intelligence is picking up steam and is clearly on the mind
of the biggest companies in tech. Of note, Facebook CEO
Mark Zuckerberg recently called the development of artificial
intelligence one of his top three key goals over the next
10 years. IBM launched a $100M Watson venture fund in January.
And Google has already acquired a handful of AI startups
including DeepMind Technologies of the UK for $500M.
Insights has picks a few up-and-coming startups that might
be worth keeping an eye on in machine learning, natural
language processing and who are working in the area of AI.
|Google has released some new research on Using Neural Networks To Optimize Data Centers
May 28, 2014
Google has released some new research about it efforts to maximize performance and minimize energy use at data centers through machine learning today. Long story short: Google is building superintelligent server farms that can learn from their past performance and improve themselves in the future.
Google’s AI data centers are a 20 percent project – the result of an employee, Jim Gao, working on something he found interesting that falls outside of his standard job description. Google is famous for allowing its employees 20 percent of their work time to come up with passion projects and things that they wouldn’t otherwise be able to work on. Thinking, learning data centers happened to be Gao’s main area of interest.
|What's Driving Google's Obsession With Artificial Intelligence And Robots?
January 24, 2014
Adding to Google’s mixture of eccentric acquisitions is word that this week it has acquired artificial intelligence (AI) startup DeepMind, a London-based company the tech giant bought up for an estimated minimum of $500 million. According to Re/code, the purchase “is in large part an artificial intelligence talent acquisition.” Re/code notes that DeepMind has a team of at least 50 people and has secured more than $50 million in funding calling it “the last large independent company with a strong focus on artificial intelligence".
DeepMind joins a growing list of robotics and AI companies recently purchased by Google, including Boston Dynamics, its eighth acquisition of a Robotics Company in the past few months. The robots manufactured by Boston Dynamics possess locomotive abilities replacing the conventional wheel-based robots with ones that look and act more like humans or even certain kinds of animals.
|Facebook hires machine learning star to learn all about you from your photos
December 14, 2013
Facebook users upload 350 million photos onto the social network every day, far beyond the ability of human beings to comprehensively look at, much less analyze. And so that’s one big reason the company just hired New York University (NYU) machine learning expert Yann LeCun, an eminent practitioner of an artificial intelligence (AI) technique known as “deep learning.” As director of Facebook’s new AI laboratory, LeCun will stay on at NYU part time, while working from a new Facebook facility on Astor Place in New York City.
Allen launches Artificial Intelligence Institute
September 26, 2013
Over the past decade, Microsoft co-founder Paul Allen has
committed $500 million toward understanding the brain through
Institute for Brain Science — aiming to ultimately
transform the treatment of related diseases and disorders
including autism, Alzheimer’s disease, and depression.
And earlier this month, he launched the Allen
Institute for Artificial Intelligence — “AI-squared,”
as he calls it — tapping longtime University of Washington
computer science professor Oren Etzioni to lead a new quest
for the elusive goal of computers that can acquire human
levels of knowledge, reason and understanding.
During a symposium today at his EMP Museum, marking the
Allen Institute’s 10th anniversary, Allen explained
how the two initiatives relate to each another.
“In a way, it’s a strange kind of race,”
he said. “Can you create an artificial object or entity
… before you understand how it’s done in the
brain? It’s a kind of crazy race. I don’t know
which horse to bet on. I’m betting on both. Both are
Ray Kurzweil Will Help Google Make the Ultimate AI Brain
April 25, 2013
Google has always been an artificial intelligence company,
so it really shouldn’t have been a surprise that Ray
Kurzweil, one of the leading scientists in the field, joined
the search giant late last year. Nonetheless, the hiring
raised some eyebrows, since Kurzweil is perhaps the most
prominent proselytizer of “hard AI,” which argues
that it is possible to create consciousness in an artificial
being. Add to this Google’s revelation that it is
using techniques of deep learning to produce an artificial
brain, and a subsequent hiring of the godfather of computer
neural nets Geoffrey Hinton, and it would seem that Google
is becoming the most daring developer of AI, a fact that
some may consider thrilling and others deeply unsettling.
Here is a snippet from his interview with Wired magazine:
Are you participating in Jeff Dean’s program there
to build an artificial “Google
KURZWEIL: Well, Jeff Dean is one of my collaborators. He’s
a fellow research leader. We are going be using his systems
and his techniques of deep
learning. The reason I’m at Google is resources
like that. Also the knowledge graph and very advanced syntactic
parsing and a lot of advanced technologies that I really
need for a project that really seeks to understand natural
language. I can succeed at this much more readily at Google
because of these technologies.
$1.5-billion Supercomputer to simulate the Human Brain
February 01, 2013
The European Commission has announced, the Human Brain Project,
a $1.5-billion Supercomputer to simulate the Human Brain.
(see the introduction video here)
what is the largest and most significant effort to re-create
the human brain to date, an international group of researchers
has secured $1.5 billion to fund the incredibly ambitious
Human Brain Project. For the next ten years, scientists
from various disciplines will seek to understand and map
the network of over a hundred billion neuronal connections
that illicit emotions, volitional thought, and even consciousness
itself. And to do so, the researchers will be using a progressively
scaled-up multilayered simulation running on a supercomputer.
And indeed, the project organizers are not thinking small.
The entire team will consist of over 200 individual researchers
in 80 different institutions across the globe. They're even
comparing it the Large Hadron Colllider in terms of scope
and ambition, describing the Human Brain Project as "Cern
for the brain." The project, which will be based in
Lausanne, Switzerland, is an initiative of the European
'lifeguard' to save young swimmers from drowning
January 04, 2013
This goes way beyond water wings. An AI system is learning
to recognise the panicky movements people make when they
are drowning. The idea is that the system could be used
to save children's lives when there are no lifeguards around.
Ultrasonic systems at swimming pools can alert lifeguards
if someone is underwater too long - but few pools have them
and they are no help at unguarded river banks and beaches.
So Ken Sakamura and colleagues at the University of Tokyo
created an AI system which could, for example, activate
a body-worn flotation bag in an emergency.
team want to make the system more robust by training it
using more volunteers, with an accelerometer added to the
sensor pack. They will present their results at the International
Conference on Consumer Electronics in Las Vegas, Nevada,
on 12 January.
Startup ITM Financial Nets 300% ROI by Using Artificial Neural
October 22, 2012
Trending new startup, ITM Financial, who introduced the
Social Sentiment Index into the forex market this year,
has announced the release of their new software, Neural
Network Forex Trading. Neural network forex trading uses
the technology advancements discovered in recent years in
the fields of DNA sequencing and brain mapping. The term
neural network has traditionally been used to refer to a
network or circuit of biological neurons. The modern usage
of the term can sometimes refers to artificial neural networks,
which are composed of artificial nodes. "By using the
advances in science and analytics to our advantage in the
financial markets, it has been a great discovery for our
trading desk as well as our clients," says CEO, Curt
learning to identify cities from postcards, travel pictures
September 09, 2012
Computers may soon be able to identify cities by just looking
at random photos, if a new machine learning program by US
and French succeeds. The machine learning program looks
for details and characteristics that are unique to a city,
tech site CNET reported.
at Carnegie Mellon University and INRIA/Ecole Normale Superieure
in Paris fed 40,000 Google Street View images of Paris,
London, New York, and Barcelona, as well as eight other
cities to the system, for it to find "frequent and
"Our data mining technique was able to go through millions
of image patches automatically -- something that no human
would be patient enough to do," it quoted Alexei Efros,
CMU associate professor of robotics and computer science,
gets $15M to search for the key to artificial intelligence
August 21, 2012
Vicarious, a startup trying to discover the rules that govern
intelligence, has raised $15 million in a first round of
funding from tech luminaries including Good Ventures, the
fund created by Facebook Co-founder Dustn Moskowitz and
Peter Thiel’s Founders Fund. The money isn’t
to help commercialize its technology however, it’s
basically R&D spending for a big tech undertaking.
programs artificial neural network to diagnose breast cancer
with 99 percent sensitivity
July 25, 2012
A high school junior has created a computer brain that can
diagnose breast cancer with 99 percent sensitivity.
Seventeen-year-old Brittany Wenger of Sarasota, Fla., wrote
a breast cancer-diagnosing app based on an artificial neural
network, basically a computer program whose structure is
inspired by the way brain cells connect with one another.
She won grand prize at the Google Science Fair for her invention
in ceremony held in Palo Alto, Calif. last night (July 23).
wanted to get her computer brains to work on breast cancer
because the least invasive diagnostic test for the disease,
called fine needle aspirate, is also the least certain one.
Often, if results aren't clear, patients need to undergo
a second biopsy with a bigger needle or even surgery. Wenger
wanted to boost the less-invasive test's success rates.
computing taps artificial intelligence to revolutionize the
power of our collective brains
May 17, 2012
The two hundred people packed into a small screening room
in Midtown Manhattan on a recent Tuesday night made quite
a throng. Engineers, venture capitalists, and entrepreneurs
sipped Sam Adams and nibbled bits from a fruit plate. They
were there to learn about CrowdControl,
a New York startup that is melding human workers with artificial
intelligence to create the next paradigm for global labor:
crowd filtered into the theater, and Kirill Shenykman, a
venture capitalist who had recently led a $2 million investment
in CrowdControl, took the stage. “What we are trying
to do is to transform human labor into something that scales
like software,” he explained. “We’re trying
to take people and make them into bits.”
Network to Revolutionize Computer Intelligence
April 03, 2012
A new breakthrough in neural networking might just lead
to truly intelligent computers. Dubbed a ‘super-Turing’
network, the new approach makes the neural networks so common
to artificial intelligence research work very much like
how our brains do.
super-Turing neural networks are capable of learning and
morphing, completely rearranging their design every time
a new fact is learned. Which is huge. It means that this
neural network learns an order of magnitude more effectively
and faster than more traditional neural networks. And, unlike
traditional neural networks, Siegelmann’s model thrives
when exposed to constant stimulation.
human nerve cells on nanocellulose
March 21, 2012
A team of scientists from the University of Gothenburg and
Chalmers has demonstrated that nanocellulose activates the
creation of neural networks, paving the way to construct
a 3D brain model to take brain research to an entirely new
The research work on growing human nerve cells on nanocellulose
has been carried out for more than a period of two years.
Professor Paul Gatenholm, one of the researchers from Chalmers,
explained that until recently the researchers were not able
to prevent the cells from dying after some time, because
they failed to attach the cells to the scaffold. However,
after a string of experiments, they developed a stable method
to make the scaffold more positively charged, enabling the
cells to get attached to the scaffold.
scientist unveils ‘thinking’ robot
November 1, 2011
Tokyo: Robots that learn from experience and can solve novel
problems, just like humans. Sound like science fiction,
doesn’t it? But a Japanese researcher is working on
practically realising this theory, with machines that can
teach themselves to perform tasks they have not been programmed
to do, using objects they have never seen before. The Self-Organising
Incremental Neural Network, or “SOINN”, is an
algorithm that allows robots to use their knowledge —
what they already know — to infer how to complete
tasks they have been told to do. SOINN examines the environment
to gather the data it needs to organise the information
it has been given into a coherent set of instructions.
Artificial Intelligence will be able to write articles
September 12, 2011
Science, a startup based in Chicago, Illinois, is working
to put writers like me out to pasture. Founded by Northwestern
University researchers Kris Hammond, Larry Birnbaum and
Stuart Frankel, the company offers software that takes data
— sports statistics, financial reports, and so forth
— and turns it into articles like this one.
For now, humans remain in the driver’s seat, guiding
the software to make better selections as it writes more
articles. The real litmus test will be when Narrative Science
lets its software write its own press releases.
Chip Borrows Brain’s Computing Tricks
August 18, 2011
has unveiled an experimental chip that borrows tricks from
brains to power a cognitive computer, a machine able to
learn from and adapt to its environment.
to the computer giant’s press release about SyNAPSE,
short for Systems of Neuromorphic Adaptive Plastic Scalable
Electronic, have ranged from conservative to zany. Some
even claim it’s IBM’s attempt to recreate a
cat brain from silicon.
neuron in the brain is a processor and memory, and part
of a social network, but that’s where the brain analogy
ends. We’re not trying to simulate a brain,”
said IBM spokeswoman Kelly Sims. “We’re looking
to the brain to develop a system that can learn and make
sense of environments on the fly.”
tongue to identify wines
July 26, 2011
at Universitat Autonoma de Barcelona have developed an electronic
tongue which can identify different types of cava wines,
thanks to a combination of sensor systems and advanced mathematical
procedures. The device automatically produces classifications
similar to those of a sommelier. In order to design the
electronic tongue, researchers from the UAB Group of Sensors
and Biosensors, led by professor Manel del Valle, identified
different cava samples using voltammetric measurements.
Thanks to a combination of chemical measurement systems
and advanced mathematical procedures - principal component
analysis (PCA), discrete wavelet transform (DWT), and artificial
neural network (ANN) - researchers achieved to copy the
human taste system and distinguish between different types
of cava, thus obtaining a classification similar to that
of a sommelier. Through the use of the second order standard
addition method (SOSAM) it was possible to quantify the
amount of sugar added in the cava production process, demonstrating
the efficiency of these processing tools.
Technologies Launches Real-Time Medicaid/Medicare Fraud Detection
Program using ANN
May 25, 2011
Technologies announced the launch of a software program
designed to intelligently identify potential fraudulent
claims made to state and federal health care programs. The
real-time fraud detection program can identify unique markers
and call attention to processors before a payment is made.
Neural Technologies' solutions are based upon the culmination
of over 20 years' extensive research and development into
artificial intelligence and advanced neural processes. Using
this comprehensive knowledge and experience, the company
has developed a powerful, proprietary neural architecture
that sets it apart from the competition.
helps plant achieve a 2-3% increase in reliability & reducing
maintenance costs by more than 10%
December 14, 2010
maintenance improves profitability of Petrobras Zarate polystyrene
manufacturing plant in Argentina by more than $1 million
But the benefits did not end there. A comprehensive asset
management program implemented on approximately 1,000 intelligent
FOUNDATION fieldbus and HART field devices has enabled continued
productivity gains and greater profitability. Proactive
maintenance measures and neural networks helped better utilization
of raw materials, quick correction of flow deviations, and
avoidance of low quality scrap. Plant availability soared
to 99%, and annual production rose by 3 to 5%. Production
reached an all-time high—66,000 tons of high-impact
and crystal polystyrene annually.
of Insubria uses ANN to predict pelvic organ prolapse
November 27, 2010
aim of the present study was to assess the relationship
between lower urinary tract symptoms, anatomical findings,
and baseline characteristics in women with pelvic organ
cross-sectional observational study was performed, enrolling
consecutive women seeking cares for lower urinary tract
symptoms (LUTS) with evidence of POP. Data regarding baseline
characteristics, LUTS, and physical examination were gathered
for each patient. Multivariate analysis (multiple linear
regression (MLR)) and artificial neural networks (ANNs)
were performed to design predicting models.
LUTS result form a fine interaction between baseline characteristics
and anatomical findings and demonstrates that ANNs are valuable
instrument for better understanding complex biological models.
Discovery Corporation reporting use of Artificial intelligence
in molecular diagnostics
August 26, 2010
Discovery Corporation is a molecular diagnostics company
that uses advanced mathematical techniques to analyze large
amounts of data to uncover patterns that might otherwise
be undetectable. It operates primarily in the emerging field
of personalized medicine where such tools are critical to
scientific discovery. Its primary business consists of licensing
its intellectual property and developing its own product
line of biomarker-based diagnostic tests that include human
genes and genetic variations, as well as gene, protein,
and metabolic expression differences and image analysis
in digital pathology and radiology.
medical applications, for instance, predictive models are
built to make diagnoses. For instance, blood samples or
tissue images may be examined to decide whether a patient
is healthy or diseased. In the Active Learning Challenge,
the participants were facing problems of document analysis,
text classification, pharmacology, embryology, marketing,
Neural Networks to Classify Music
June 03, 2010
Neural networks built for image recognition are well-suited
for "seeing" sound.
work from students at the University of Hong Kong describes
a novel use of neural networks, collections of artificial
neurons or nodes that can be trained to accomplish a wide
variety of tasks, previously used only in image recognition.
The students used a convolutional network to "learn"
features, such as tempo and harmony, from a database of
songs that spread across 10 genres. The result was a set
of trained neural networks that could correctly identify
the genre of a song, which in computer science is considered
a very hard problem, with greater than 87 percent accuracy.
In March the group won an award for best paper at the International
Multiconference of Engineers and Computer Scientists.
invests €500 million in Future and Emerging Technologies
(FET) to improve people's lives
April 12, 2010
Developing intelligent artificial hands for hand amputees,
neural devices to help people suffering from vertigo, dizziness
and other vestibular disorders and the possibility to see
how your brain responds while learning are a few examples
of European research carried out in the area of future and
emerging information and communication technologies (FET)
that are being presented in the European Parliament in Strasbourg
today. Twelve outstanding science projects funded under
the European Commission's Future and Emerging Technologies
programme will be showcased at the exhibition on "Science
beyond Fiction: an Excursion into Future and Emerging Technologies".
Europe is taking the lead in FET by proposing to invest
around €500 million in exploratory research into high
risk future Information and Communication Technologies (ICTs).
Contractor Funds Project for A.I. and Cyber Threat Research
December 04, 2009
How about a computer system that recognizes when someone
is trying to do something malicious with its code? That’s
one goal of a consortium focusing on cyber research, with
an ultimate focus on recognizing and preventing cyber threats
Grumman, the defense and intelligence community contractor,
is funding the consortium in partnership with Purdue University’s
Center for Education and Research in Information Assurance
and Security, MIT’s Computer Science and Artificial
Intelligence Laboratory, and Carnegie Mellon University’s
Cybersecurity Education and Research Center.
takes a (feline) step toward thinking machines
November 17, 2009
A computer with the power of a human brain is not yet near.
But this week researchers from IBM Corp. are reporting that
they've simulated a cat's cerebral cortex, the thinking
part of the brain, using a massive supercomputer. The computer
has 147,456 processors (most modern PCs
have just one or two processors) and 144 terabytes
of main memory — 100,000 times as much as
your computer has. The
scientists had previously simulated 40 percent of a mouse's
brain in 2006, a rat's full brain in 2007, and 1 percent
of a human's cerebral cortex this year, using progressively
simulation, which runs 100 times slower than an actual cat's
brain, is more about watching how thoughts are formed in
the brain and how the roughly 1 billion neurons and 10 trillion
synapses in a cat's brain work together.
researchers created a program that told the supercomputer,
which is in the Lawrence Livermore National Laboratory,
to behave how a brain is believed to behave. The computer
was shown images of corporate logos, including IBM's, and
scientists watched as different parts of the simulated brain
worked together to figure out what the image was. Dharmendra
Modha, manager of cognitive computing for IBM Research and
senior author of the paper, called it a "truly unprecedented
scale of simulation." Researchers at Stanford University
and Lawrence Berkeley National Laboratory were also part
of the project.
the technologies that will matter
October 14, 2009
Forrester analysts take closer look at the 15 technologies
to watch. Those include areas from cloud-based services,
to prediction analysis, neural networks and process-centric
Computers Win the Turing Test?
September 23, 2009
Can computers win the Turing
Test? Imagine a day when a machine will say, "Move
over Turing! You can no longer consider machines to be less
smart than humans! After all, we can think too. We do all
the thinking and processing and you take all the credit,
just because you are our creator! ". That would be
an awkward and exciting situation. To be honest, there is
a valid argument here in this imaginary conversation. As
naive as it may sound for now, let me assure you that such
a scenario is not far away. Applications are becoming more
and more logic-oriented and increasingly intelligent. Read
sorts music based on beat, tempo
August 31, 2009
Computer scientists in Taiwan say they've developed a neural
network computer program that can classify music based on
its beat and tempo. Mao-Yuan Kao and Chang-Biau Yang of
National Sun Yat-sen University in Kaohsiung and Shyue-Horng
Shiau of Chang Jung Christian University in Tainan said
their system could assist music archivists with an automated
approach that assigns a genre to each tune.
Software Releases Neural Network Stock Predictor
July 22, 2009
A detailed, functional artificial human brain can be built
within the next 10 years, a leading scientist has claimed.
Henry Markram, director of the Blue Brain Project, has already
simulated elements of a rat brain.
He told the TED Global conference in Oxford that a synthetic
human brain would be of particular use finding treatments
for mental illnesses.
The Blue Brain project was launched in 2005 and aims to
reverse engineer the mammalian brain from laboratory data.
Software Releases Neural Network Stock Predictor
June 2, 2009
Neural networks can discover patterns in data and successfully
predict the future trend. A small Canadian company, Addaptron
Software - the developer of decision support tools for stock
investors and traders - has developed NNSTP-2, neural network
computer tool, to help stock traders in predicting stock
prices within 1-60 days. NNSTP-2 predicts future share prices
using Fuzzy Neural Network (FNN). It operates automatically
when creating the FNN, training it, and mapping to classify
a new input vector. The input data transformed to characteristic
matrices before training FNN. The forecasting is based on
automatic scan of different inputs periods (historical price
and volume data) to define accuracy of each one by back
testing. Then the final forecast is built on weighted averaging
of all forecasts. Each weight is proportional to the accuracy
of a certain input period forecast.
Networks Used To Improve Wind Speed Forecasting
May 8, 2009
A team of researchers from the University of Alcala (UAH)
and the Complutense University in Madrid (UCM) have invented
a new method for predicting the wind speed of wind farm
aerogenerators. The system is based on combining the use
of weather forecasting models and artificial neural networks
and enables researchers to calculate the energy that wind
farms will produce two days in advance.
Neurons Acting Like the Real Thing - The Blue Brain Project
April 30, 2009
Creating a virtual model of the human brain is one thing.
I do it all the time, doodling little cerebrums while I
talk on the phone. But getting your model to behave just
like its flesh-and-blood counterpart? That’s a Frankenstein
moment right there. Researchers with the Swiss-based Blue
Brain Project have just created a virtual pack of neurons
that acts just like the real thing, and hope to get an e-brain
up and running.
introduced real-time fraud prevention technology using ANN
February 6, 2009
The solution allows to momentarily detect potential fraud
while providing financial institutions risk indicators that
guide them to immediately decide if they will accept or
decline the transaction. Visa says it is the first in the
industry to launch such kind of security product.
Advance Authorization is based on Visa's state-of-the-art
neural networks that have proved effective in detecting
unusual spending patterns and monitoring for fraud in individual
accounts. The upgrade made to this release is that it is
updating in real-time from every transaction performed on
the Visa network worldwide. As threats and activities change,
the tool updates itself to look for new patterns. Authorization
occurs immediately every time an authorization request passes
through the Visa network. During a purchase the data of
each cardholder is evaluated by the Advance Authorization.
Then the system assigns a risk score to each authorization
request, and if it detects and links together unusual patterns
of event level behavior, it assigns a compromised account
risk condition code as well.
and Liverpool University teamed up to use ANN for Mesh Design
January 1, 2009
KnitMesh Technologies, the Welsh knitted wire design and
manufacturing company, has teamed up with Liverpool University
to improve mesh design using neural networking techniques.
neural network model is an intelligent software that allows
KnitMesh Technologies to predict the performance of knitted
mesh components. According to KnitMesh, use of the software
will reduce development costs and lead times, while ensuring
optimal design during production of new parts.
The two-year research programme will focus on development
of the neural network model to advance the design of knitted
mesh for a variety of specifications.
and Fujitsu to classify Documents using Neural Network
November 29, 2008
a young company that makes document scanning and content
management software, has partnered with Fujitsu to sell
pre-integrated data capture solutions based on Fujitsu's
scanning hardware and Brainware's software, the companies
announced last week. Brainware was founded
in 2006 following a management buyout of a subsidiary of
SER Systems, a German developer of enterprise content management
and call center software. Today, the company has its U.S.
headquarters in Virginia and offices in several European
countries. Brainware claims that more than $100 million
have been invested in its core "neural network"
classification and search technology, also called Brainware,
which forms the basis for the company's two major product
suites: IDC-Distiller, an automated data capture solution
used for scanning tasks; and Globalbrain, a search and retrieval
October 23, 2008
(Defence Advanced Research Projects Agency) is sponsoring
a new competition to develop "... a highly versatile
and sensitive broad-spectrum device capable of detecting
odorants under the challenge of real-world conditions".
Obviously the military and security implications are immense,
but so is the potential to develop further knowledge about
the inner workings of one of the most primitive CNS pathways.
Machines, Inc. (Palo Alto, CA) has been selected as
a prime contractor to engineer an artificial olfaction system
incorporating "brain-like" neural pattern recognition.
In their press release, DARPA labeled the project "RealNose",
and the agency emphasizes that it will be "the first
program to tackle the separation of multiple odorants in
the presence of unknown backgrounds that characterize the
detection problems presented in real-world settings."
cancer diagnostic system
September 12, 2008
Biotechnologies, a developer of innovative medical technology,
has filed the patent application for its new neural network
diagnostic system. As previously announced, Lifeline has
been working diligently with a prominent Asian university
to further develop and enhance the company's First Warning
System. This patent application is said to be the result
of that extensive work. Louis Keith, emeritus professor
of obstetrics and gynecology at the Feinberg School of Medicine
at Northwestern University, said: "We can now determine
which of the thermal aberrations the First Warning System
detects is similar to those associated with known cancers.
Using a combination of five neural network constructions,
we have broken this illusive barrier.
Analysis Allows Insurers to Stay Ahead of Constantly Evolving
August 12, 2008
used with data mining tools and street investigations, predictive
analytics can be among the biggest electronic enemies
of the fraud rings that cost insurers tens of billions of
dollars annually. Predictive analysis is a leap forward
in antifraud technology. It injects artificial intelligence
into fraud detection, allowing insurers to uncover suspicious
claim patterns earlier in the claim cycle. Basically, it
compacts the time-space continuum for investigations.
Intelligence System - 100 Billion Neurons and Beyond
July 25, 2008
Toronto, Ontario, Jul. 25, 2008 - Intelligence Realm Inc.
has recently completed a simulation of 100 billion neurons,
the estimated size of the human brain. The simulation used
distributed computing and involved over 4000 computers,
3000 volunteers, 10000 processors, 180 TB of data and lasted
for a couple of months.
was the first simulation that bypassed the 100 billion level
and used database files to store the data. The simulation
is one of the first steps in a long-term project that is
aiming to build a large-scale artificial intelligence by
reverse engineering the brain.
of the Future Will Show Empathy, Be Good Listeners
July 17, 2008
European researchers are developing a software that will
give robots the power to learn when a person is sad, happy
or angry. The Feelix
Growing project is putting together simple robots that
can detect different parameters—facial expressions,
voice and proximity—to determine emotional states.
The aim of the project is to develop a robot that can serve
humans with special needs, such as the ill and the elderly.
Using adaptable neural networks, the robot can learn the
correct way to respond to people's emotions from experience.
instance, if someone shows fear, the robot can learn to
change its behavior to appear less threatening. If someone
seems happy, the robot can make a mental (or, I guess, digital)
note of what brought on that response. And if someone seems
upset and lonely, the robot can give her a pat on the back,
offer her a stiff drink and say "Elaine, you deserved
someone better than that dickwad anyhow."
to work with Cisco on a new wireless network unsing sophisticated
neural network system
June 26, 2008
Nivis, developer and integrator of wireless network technologies,
together with Cisco are debuting an embedded wireless IP
mesh technology using a 6LoWPAN solution for integrated
device management at the Cisco Live technology showcase
in Orlando, Florida.
is presenting a new wireless network technology that allows
disparate devices and sensors to communicate via a sophisticated
neural network system using the 6LoWPAN(IPv6) protocol.
wins £430K contract with UK Police force for Neural
Network recognition engine
April 29, 2008
Appian Technology is the leading manufacturer and supplier
of high performance, high accuracy Automatic Number/License
Plate Recognition (ANPR/ALPR) systems. Appian's ANPR products
are based on a proprietary neural network recognition engine
called Talon. Neural network technology is superior to any
template based Optical Character Recognition (OCR) ANPR
system, offering significantly higher performance and accuracy,
typically better than 97%.
is a software based processor designed to be installed on
to modern computers running the Windows operating system.
Software holds BOF2.2 Web Services accreditation allowing
all customers to continue to meet National ACPO ANPR Standards.
Launches ANN Search Engine
March 27, 2008
ROCKETinfo, Inc. (OTCBB:RKTI), a pioneer in news monitoring,
analysis and search technology, today announced the release
of a new version of its flagship online news search engine
and portal, Rocketnews.com. Rocketinfo addresses the core
challenge in the news search business: relevant news, provided
in a timely manner. The just-launched Rocketnews.com aims
to set a new standard amongst Internet news providers by
answering the question: In this era of too much news, how
do you find exactly what you need?
8.0s can generate multilayer neural networks
October 23, 2007
EasyNN-plus 8.0s can generate multilayer neural networks
from imported text files, images or grids with minimal user
intervention. The user can produce training, validating
and querying files using the facilities in EasyNN-plus or
using any editor, word processor or spreadsheet that supports
text files. EasyNN-plus can learn from training data and
can self validate while learning.
examiners put to the test
September 2, 2007
Exams mean a lot of work for examiners But in future, computers
could help them reclaim their summer holidays. Professor
Sargur Srihari's research team at the University at Buffalo,
New York, is developing software to fully automate the essay-marking
process."Trying to analyse children's
handwriting is a completely unexplored domain," says
Professor Srihari. Exam scripts are scanned into the computer,
the software reads the handwriting and translates it into
computer type, and then grades the response as an examiner
would, Professor Srihari explains.
investing could be in your future
August 11, 2007
Advisory Corp., subsidiary of Waddell & Reed, has been
using artificial intelligence to invest mutual funds into
various assets. Legend has applied this practice when managing
retirement plans, endowments, foundations, institutions
and individual assets. "We’re doing some phenomenal
stuff," said Jim Leos, of the Legend Group and Legend’s
regional vice president for Arizona. "We wanted to
figure out what was the most proactive and scientific way
to manage money that takes out the human emotions greed
and fear. We’ve done that."
in Arizona Choose Artificial Intelligence for Faculty Retirement
August 02, 2007
Advisory Corp., a registered investment advisor, today announced
that it has received an initial $5 million in faculty retirement
funds from The University of Arizona, Arizona State University
and Northern Arizona University, collectively the Tri-Universities,
to be managed on Legend Advisory’s Strategic Asset
Management platform, which utilizes groundbreaking artificial
decade ago, many people thought artificial intelligence
was science fiction, but it is now breaking frontiers in
so many fields,” says Dr. Terry Riffe, director of
the University Teaching Center and financial author from
the University of Arizona. When applied to investments,
says Riffe, “It’s a groundbreaking financial
tool that can be invaluable.” Dr. Riffe was a catalyst
in the effort at the Tri-Universities to offer Legend Advisory’s
money management programs to faculty members and staff members
in the University’s Optional Retirement Program. Riffe
anticipates contributions to the program will quickly grow
from the initial $5 million, as the staff becomes more familiar
with the notable program.
compose original melodies
July 21, 2007
Stephen Thaler is such a wretched musician that his wife
won't even let him sing in the shower. And yet the computer
scientist is releasing a CD of new music.
computers at his Maryland Heights, Mo., company, Imagination
Engines Inc., are intelligent and creative enough to teach
robots to walk, help a car decide whether the object it
is about to back over is a child or a toy, create substances
harder than diamonds and design toothbrushes. They work
in a variety of different industries. In their spare time,
the Creativity Machines, as he calls his computer programs,
make the ultimate in personalized music.
memory in live neurons paves way for cyborgs
May 30, 2007
researchers Itay Baruchi and Eshel Ben-Jacob of Tel-Aviv
University have demonstrated through experiment that it’s
possible to store multiple rudimentary memories in an artificial
culture of live neurons. This is a critical step towards
cyborg-like integration of living material into memory chips.
To create a new memory in the neurons, the researchers introduced
minute amounts of a chemical stimulant into the culture
at a selected location. The stimulant induced a second firing
pattern, starting at that location. The new firing pattern
in the culture along coexisted with the original pattern.
Twenty-four hours later, they injected another round of
stimulants at a new location, and a third firing pattern
emerged. The three memory patterns persisted, without interfering
with each other, for over forty hours.
Cell Development Observed In 'Real Time'
April 17, 2007
first time anywhere, a researcher at the Hebrew University
of Jerusalem has succeeded in observing in vivo the generation
of neurons in the brain of a mammal.
Dr. Adi Mizrahi of the Department of Neurobiology
at the Alexander Silberman Institute of Life Sciences at
the Hebrew University, used mouse models to study how neurons,
or nerve cells, develop from an undifferentiated cellular
sphere into a rich and complex cell. This has great significance
for the future of brain research, said Dr. Mizrahi, since
"the structural and functional complexity of nerve
cells remains one of the biggest mysteries of neuroscience,
and we now have a model to study this complexity directly."
to Sense, "Feel" Emotions
March 25, 2007
have feelings, too -- or at least they will -- pending the
completion of a pan-European research project being led
by a group of British scientists.
The Feelix Growing project aims to design and build a series
of robots that can interact with humans on an emotional
level, and actually adapt their behavior in response to
emotional cues from their human counterparts. The robots
used in the project are simple designs, including some "off-the-shelf"
models. The complexity lies in the software, which will
construct artificial neural networks to pick up on human
emotions exhibited via facial expressions, voice intonation,
gestures and other behaviors.
received $2.6 million to improve on ANN for medical use
January 17, 2007
a leader in the application of advanced mathematical modeling
and neural networks for medical use. The LMS CALM(TM) Decision
Support Suite provides physicians, nursing staff, risk managers
and hospital administrators with clinical information systems
and risk management tools designed to improve outcomes and
patient care for mothers and their infants during labor
tagging of humans
December 26, 2006
of microchip in milching animals to check the misuse of
bank loans and tracking the movement of wild animals by
radio collars are very common now a days. But humans, in
future, are also to be tagged for tracking their movements
by imbedding a microchip in the body using neural network
investing using Neural Nets?
December 11, 2006
houses, hedge funds and institutional investors have taken
the application of quantitative models in investment decision
making to a new high. Quant models use a variety of techniques,
such as fuzzy logic, neural networks, genetic algorithms,
Markov models, fractal methods, and clustering techniques.
The investment techniques they use draw more from physics
than from economics. Quant models use extensive back testing
of past data to create their investment algorithms, raising
the issue that the past may not accurately represent the
future. Some of the early techniques that used simple technical
rules based on past price behaviour have been accused of
being exercises in 'torturing data until it confesses'.
soon -- mind-reading computers
June 26, 2006
aware" computer being developed by British and American
scientists will be able to read an individual's thoughts
by analyzing a combination of facial movements that represent
underlying feelings. "The
system we have developed allows a wide range of mental states
to be identified just by pointing a video camera at someone,"
said Professor Peter Robinson of Cambridge University in
England. The scientists, who are developing the technology
in collaboration with researchers at the Massachusetts Institute
of Technology (MIT) in the United States, also hope to get
it to accept other inputs such as posture and gesture.
sensor sees world in 3D
April 21, 2006
State University has scanned mixed gas-liquid-solid flow
in 3D using a technique previously employed only for 2D
tomography has been practiced for many years, but not in
3D," Professor Liang-Shih Fan at the University told
the array has a presence in three dimensions, that it is
not just a 2D array, said Fan, 3D results can be extracted.
A favoured arrangement is two rings of six electrodes around
an 80mm pipe.
"The image construction is unique," said Fan.
"Mathematicians like to use iterative techniques, but
these do not give good images. We use a neural network-based
technique. Image reconstruction is established by introducing
a 3Dsensitivity matrix."
professor hopes to mimic the brain on a chip
March 20, 2006
are taking knowledge from neuroscience and using it to build
better computers," said Kwabena Boahen, an associate
professor in the Department of Bioengineering who directs
a research group tasked with mimicking the functions of
the brain's complex neural system using silicon chips. Boahen
hopes his research will lead to small computers that could
replace damaged neural tissue or silicon retinas that restore
vision. He believes understanding how the brain functions
could help make computation more efficient. "Soon after
I got to the United States, I learned about neural networks
and I thought [they were] really elegant," Boahen said.
"You could present a bunch of examples to the network
and it would learn." Boahen
began studying very large scale integration, or VLSI, circuits.
These experiences led him to design an associative memory
chip that, using pattern recognition, would "learn"
to associate pictures with the words used to describe them.
to use Neural Nets to predict profitability based on customer
March 13, 2006
network model can predict profitability based on customer
age even though the relationship between the two variables
is non-linear. Neural
network models, Schumacher says, are most useful when the
target variable has a high useful to irreverent ratio, or
when interpretation is not the goal.
A neural network is a non-linear prediction. So a 20-year-old
might be worth $1 in profit per year, a 30-year-old $4 in
profit per year and a 40-year-old worth $5 per year. Since
the profit prediction does not go up by a constant amount,
and might even start to go down again for 60-year-old customers,
you have a non-linear model, and that's what neural network
models are designed for.
thrills with neural networks
February 16, 2006
computing methods can solve most data processing and control
tasks as long as you throw enough high-speed silicon at
Our brains, though, can complete some remarkably
complex tasks, faster than a room full of computers, and
yet we achieve this with neurons that do not respond in
much less than a millisecond. That networks of biological
neurons can often operate more efficiently than nanosecond-switching
logic-gates is not startling news but applying that knowledge
to building alternative models of computation has had mixed
results. Anyone working in electronics a decade ago will
remember the excitement, followed by disappointment, generated
by fuzzy logic microcontrollers that used artificial neural
network algorithms and machine-learning to ‘revolutionise’
embedded systems. There was no revolution. But
the idea has not disappeared and today, driven by increasingly
stringent emissions regulations, software and hardware-based
neural network-based techniques are being successfully applied
to engine control and diagnostics in automotive embedded
Engine Shows Promise for Leaner, Greener Vehicle
February 02, 2006
An advanced controller is showing "promising results"
by learning on-the-fly how to operate an engine cleaner
and more efficiently, say researchers at the University
of Missouri-Rolla. The researchers created a neural network
controller that is implemented as a software program. Artificial
neural networks are adaptive systems, which "learn"
based on the successful connections they make between neurons
or nodes. "The neural network observer part of the
controller will assess the total air and fuel in a given
cylinder in a given time," Sarangapani says. "It
then sends that estimate to another neural network, which
generates the fuel commands and tells the engine how much
fuel to change each cycle."
to offer web search using Neural Network
November 15, 2005
Inc. the next-generation web search company, today announced
the release of its revolutionary web search software, Quintura
Search 1.0 beta that helps a user find the relevant information
on the Web easier and faster. Today’s standard keyword
search on the Internet offered by Google, Yahoo! and MSN
returns thousands and millions of results. It is often not
an easy task for a regular web user to build a more specific
query, to narrow the search and find the relevant information.
Search helps to overcome those limitations by offering a
visual semantic map, the map of keywords and relationships
between keywords. Adding or subtracting keywords from a
query using the map and a mouse click, “One-Click
Search”, allows a user to specify the context or meaning
of the keyword, therefore narrowing the search and finding
the relevant information faster.
The Quintura technology is based on over a decade of the
founders’ innovative research and development in the
area of neural network and artificial intelligence.
contestants make robotic history
DARPA's robot racing challenge will pit artificially intelligent
robots designed to drive autonomously against a hazardous,
150-mile desert course. The robot racers must balance care
with speed and finish the course in less than 10 hours--and
the odds are stacked against them.
(director of Stanford University's artificial-intelligence
laboratory) and a team of computer scientists wrote more
than 100,000 lines of code to tell it what to do. A map
tells the car where to drive; a planning tool points out
unsafe terrain; and a controller translates all of that
into action. The software runs on six Pentium M processors,
Intel-made, low-power chips originally designed for the
particle recognition in automated IVD urinalysis systems and
IRIS International, Inc. (NASDAQ: IRIS), a manufacturer
and marketer of automated IVD urinalysis systems and medical
devices used in hospitals and reference clinical laboratories
worldwide, today announced that President and Chief Executive
Officer Cesar Garcia will be presenting at ThinkEquity Partners
LLC's 3rd Annual Growth Conference at 9 a.m. local time
on Tuesday, September 13, at the Ritz Carlton Hotel, 600
Stockton Street, in San Francisco.
IRIS International, Inc. (www.proiris.com) is a leader in
automated urinalysis technology with systems in major medical
institutions throughout the world. The Company's newest
generation iQ(R)200 Automated Urine Microscopy Analyzer,
utilizing image flow cytometry, patented Automated Intelligent
Microscopy (AIM) technology and neural network-based particle
recognition, achieves a significant reduction in the cost
and time-consuming steps involved in manual microscopic
analysis. The Company's StatSpin(R) subsidiary, based in
Norwood, Mass., manufactures innovative centrifuges and
blood analysis products. Advanced Digital Imaging Research,
LLC (ADIR), based near Houston, Texas, is the Company's
imaging research and development subsidiary.
Force Research Lab to use ANN to predicts problems
Intelligent computer software capable of predicting when
systems are about to break down or need special attention
is expected to improve operations and generate large cost
savings. The technology has already been used to improve
the reliability of high-power advanced chemical lasers,
and nearby computer chip manufacturers are expected to save
millions of dollars a year by installing the technology
on just one portion of a production line.
are significant advantages to performing maintenance on
high-value equipment when needed instead of on a periodic
basis," noted Victor Stone, a computer engineer at
the laboratory's Directed Energy Directorate. "The
equipment can be safely operated longer, which improves
productivity and saves money."
technology, called Prognosis, uses advanced software to
predict conditions, circumstances and faults. It is being
developed by Mr. Stone and Dr. Mo Jamshidi, a professor
at the nearby University of New Mexico and director of the
university's Autonomous Control Engineering Center. Dr.
Jamshidi is temporarily employed by the directorate under
a special arrangement.
scientists plan digital library of all life
Using neural network software, British scientists want to
establish a Digital Automated Identification System (Daisy)
for all forms of life on Earth.
British scientists have unveiled plans to create a digital
library of all life on Earth. They say that the Digital
Automated Identification System (Daisy), which harnesses
the latest advances in artificial intelligence and computer
vision, will have an enormous impact on research into biodiversity
will also give amateur naturalists unprecedented access
to the world's taxonomic expertise: Send Daisy a camera-phone
picture of a plant or animal and, within seconds, you will
get detailed information about what you are looking at.
Lab Wins Three Prestigious R&D 100 Awards for Technology
One of them for the Neural Matrix CCD: Initially
designed to help scientists learn how neurons in the human
nervous system communicate with each other, the Neural Matrix
CCD is the first step in creating combined biological and
electronic chip implants that can provide neural networks
of living, interconnected nerve cells for testing drugs
and sensing toxins for homeland security -- and, someday,
restoring the use of limbs and eyesight and improved mental
functions in patients. In 2004, a team of scientists
and engineers led by Eleanor Blakely and Ian Brown, including
Kathy Bjornstad, Jim Galvin, Othon Monteiro, and Chris Rosen,
developed a technique for growing the first large arrays
of networked neurons on the prepared optical surface of
a charge-coupled device (CCD). Diamond-like carbon deposited
on the optical surface of the CCD is patterned in fine detail,
then coated by a continuous layer of cell-culture collagen,
and finally seeded with neurons. The coated CCDs now have
millions of individual sensors that can record changes in
electrical potential from individual nerve cells in real
time while precisely mapping each neuron's activity within
the neural network.
to use Neural Network for Search Engine Ranking
MSN Search Updates Results Based on RankNet. Besides the
news yesterday that MSN Local has launched, the people at
MSN Web Search snuck in an update to their search results
with an algorithm based on what MSN calls RankNet. The search
results seem more relevant to the query and MSN feels that
RankNet “has imporved [their] relevance and most importantly
gives [them] a platform they can move forward on.”
The new ranking technology is based on neural net, which
was discussed by Microsoft in a research paper headed by
Chris Burges titled Learning to Rank using Gradient Descent.
to roll-out a new technology to help stop card fraud before
The patent-pending solution is designed to detect potential
fraud happening not just on individual cardholder accounts
but throughout the whole Visa network in real time. It
works by using neural networks to detect unusual spending
patterns. When a card is swiped it sends the card issuer
an instant rating of a transaction's potential for fraud.
The issuer can then send an immediate response back to the
merchant to accept or decline the transactions.
intelligence for computer-based characters?
The research team in the IST project ERMIS, which focused
on linguistic and paralinguistic cues in human speech and
finished at the end of December 2004, created a prototype
able to analyse and respond to user input. The team included
researchers with skills ranging from engineering and computer
science to psychology and human communication. In the analysis
phase, the team extracted some 400 features of common speech,
then selected around 20-25 as the most important in expressing
emotion. These terms were then fed into a neural network
architecture that combined all the different speech, paralinguistic
and facial communications features. For facial expression,
some 19 were selected as the most relevant and were input
and Infineon unveil embedded machine learning system
Axeon and Infineon have launched their embedded machine learning
system based on Axeon’s Vindax technology integrated
with the Infineon Powertrain Starter Kit (PSK) and Triboard
development platforms. This development is targeted at the
Tier 1 suppliers and OEM application developers, and puts
the power of a hardware neural network to work on some of
the most challenging problems in the automotive industry,
including classification, function approximation and change
detection. Applications developed on the system can be used
to realize significant cost-down benefits combined with improved
solution accuracy and increased system reliability.
Squibb Joins RDI in Combating HIV Drug Resistance
The HIV Resistance Response Database Initiative (RDI) announced
today that Bristol-Myers Squibb, a leading research-based
pharmaceutical company in the HIV/AIDS field, has joined its
Corporate Sponsorship program for 2005. The RDI is using artificial
intelligence to predict how patients will respond to different
combinations of drugs, based on the genetic code of their
virus and other information. Specifically the group uses a
technique called neural networks to explore and 'learn' the
relationships between changes in HIV genes that cause drug
resistance and the response of patients to different treatments.
2.0 and MediBIC Announce Joint R&D Agreement for Protein
MediBIC, a Tokyo-based bio-venture company announced an agreement
to collaborate on protein engineering and distribution of
gene synthesis in Japan with Menlo Park-based DNA 2.0, Inc.
The protein engineering technology developed by DNA 2.0 has
the ability to efficiently optimize any protein directly for
the commercial application needed using advanced machine learning
detective links up crimes
Many more crimes might be solved if detectives were able to compare
the records for cases with all the files on past crimes. Now an
artificial intelligence system using Kohonen network has been
designed to do precisely that.
In A Dish Acts As Autopilot
Somewhere in Florida, 25,000 disembodied rat neurons are thinking
about flying an F-22. These neurons are growing on top of a multi-electrode
array and form a living "brain" that's hooked up to
a flight simulator on a desktop computer.
and DNA microarrays to successfully predict clinical outcomes
Researchers at the National Cancer Institute (NCI), have used
artificial neural networks (ANNs) and DNA microarrays to successfully
predict the clinical outcome of patients diagnosed with neuroblastoma
Networks used for detecting and treating Scoliosis
Calgary researchers working together to develop a high-tech imaging
system for detecting and treating of scoliosis – a mysterious
spinal condition that affects about one out of every 200 people,
especially children using Neural Networks.
Networks Help Make Sense of Pediatric Brain Tumor Data
In one of the first large-scale diagnostic applications of neural
networks, researchers at Children's Memorial Hospital in Chicago
are using neural net algorithms to evaluate brain tumors in children.
Hospital researchers have found that the algorithms can help them
search for gene-expression patterns in microarray data of tumor
samples in order to determine appropriate treatment.
engine takes aim at Google using Neural Networks
An Australian company plans to tackle Google's stranglehold on
the domestic Web searching market. The company, Mooter.com , claims
it will differentiate itself by offering 'users a more intelligent
and 'humanised' approach to finding information' in a grab for
the growing online search market.
University of Sunderland mimics human brain using ANN
The team, led by Professor Stefan Wermter, focused on the practical
use of visual recognition and navigation. The award winning Robot
had been trained through the use of neural networks to approach
and grasp an object.
uses NN in the Next- Generation Workforce Management Solution
Exametric today announced the release of Click2Staff 4.0, a significant
enhancement to its Workforce Management Suite that includes patent-
pending Neural Network and Pattern Recognition technologies and
algorithms that deliver improved scheduling functionality, speed,
and ease of use.
used on EEG Brain Cap to Detect Musical Creativity
computer music research group at the University of Plymouth, England
reported up to 99 percent accuracy in recognizing specific electroencephalogram
patterns for musical ideas using a 128-electrode EEG brain cap
with signal- processing algorithms including three neural networks.
telecommunications company to use ANN Fraud detection
Telestra Corp. Ltd. will use the neural network system from Fair
Isaac to search for fraudulent transactions among its 10 million
household, business and wholesale customers in Australia and the
White Paper on ANN Approach to Threat Prevention & Security
Privacyware, a provider of advanced threat prevention and security
intelligence solutions, today announced the availability of a
white paper that discusses neural and data mining approaches to
security data analysis.
Policy Management & Content Filtering usign ART
SurfControl and Omniva Partner to offer Enhanced E-mail Security
and Content Control to Meet
Compliance Requirements. SurfControl uses Adaptive Reasoning Technology
(ART) for challenge of content filtering.
"Artificial Brain" Neural Network Computer Goes Online
Inc. today announced that it has completed assembly of the
first functional portion of a prototype of CCortex™, a 20-billion
neuron emulation of the human cortex, which it will use to build
a next-generation artificial intelligence system.
Technology Moves into the Mainstream
Real-time data mining -- powered by neural-network technology
-- has begun to remake the way large corporations manage customer
accounts. The technology has been helping companies gain deep
insight into customer purchasing patterns.
Factory 2.0 offers neural network APIs
10191 Technologies announces the new release The Think Factory
2.0, a set of value added neural network engines for Mac OS X
activeX neural network software for data analysis
Open xposure - n-Logic Core is being used for specific Risk Analysis
for insurance purposes within Intech's Open xposure product.
Neural Network Simulator
PS2Neural is low-level framework to support running neural networks,
optimized for the PS2's hardware (Hebbian-like and error-corrector/backprop).
Some ps2neural developers are also interested in developing visualization
plugins using the GS.
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