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.

Nivis 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.

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%.

Talon 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.

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?

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.

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.

August 11, 2007

Legend 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."

August 02, 2007

Legend 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 intelligence.
“A 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.

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.
Thaler's 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.

May 30, 2007

Israeli 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.

April 17, 2007

For the 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."

March 25, 2007

Robots 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.

January 17, 2007

LMS is 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 and delivery.

December 26, 2006

The implantation 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

December 11, 2006

Fund 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'.

June 26, 2006

An "emotionally 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.

April 21, 2006

Ohio State University has scanned mixed gas-liquid-solid flow in 3D using a technique previously employed only for 2D scans. "Capacitive tomography has been practiced for many years, but not in 3D," Professor Liang-Shih Fan at the University told EW. Providing 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."

March 20, 2006

"We 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.

March 13, 2006

A neural 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.

February 16, 2006

Conventional computing methods can solve most data processing and control tasks as long as you throw enough high-speed silicon at the problem.
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 systems.

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."

November 15, 2005

Quintura 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. Quintura 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.

October 7, 2005

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.
Thrun (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 telecommunications industry.

September 2, 2005

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.

September 1, 2005

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.
"There 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."
The 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.

August 20, 2005

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 and evolution.
Daisy 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.

July 07, 2005

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.

June 22, 2005
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.

June 17, 2005
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.

June 04, 2005
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 accordingly.