Overview

Holographic neural processing can provide advanced capabilities in many areas. We provide both application development services and access to HNeT technology through the HNeT Application Development System.

The application fields for holographic neural processing are as broad as those relevant to conventional neural networks or other machine learning methods. However, our technology provides rapid convergence in highly complex, non-linear domains with dramatically increased speed in both learning and recall.

These aspects assist a wide range of applications yet to be realized using this powerful and largely untapped new technology field. Some examples of commercial application areas are listed below:

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Medical/Pharmaceutical
Microelectronics
Biometrics
Financial/Insurance
Security/Defense Systems
Data Warehousing/Information Services
Telecommunications
Education/Entertainment

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Energy/Power Industry
Transportation
Nanotechnology
Mining/Metals
Forestry/Pulp and Paper
Agriculture/Food and Beverage
Consumer Electronics/Household Products
Aerospace

The following pages provide a brief summary of some of the areas in which HNeT has been applied.

Biometrics

Our facial tracking capability is clearly unparalleled in performance, allowing up to 16 faces to be tracked in real time from the live video feed. This system presents the only true "All Aspect" facial recognition technology where both tracking and recognition are not restricted to a narrow range in head orientation. The system may be configured to learn in real time, whereby the system becomes considerably more accurate or "smarter" over time.

For further information on HNeT biometric technology and related products, visit the AcSys Biometrics website, or if you wish to receive a program demonstrating the real-time capabilities of HNeT technology, send us a request.

Medical

HNeT technology has been applied to medical diagnostics and prediction with dramatic results. Applications extend into image analysis across the full spectrum of optical scanning, radiographic data, spectrographic, magnetic resonance imaging, and other forms of medical imaging.

Neuromorphic systems based upon holographic processing demonstrate a dramatic leap in image analysis capabilities, vastly outperforming state-of-the-art image analysis methods. The superior performance of HNeT has been verified in several instances against the methods applied by major institutions and corporations through our work within the defense community.

Applications for neuromorphic intelligence within the medical field are virtually unbounded.

Financial

HNeT provides the ability to analyze tens of thousands of market variables in real time. Applying this technology, one can determine non-linear correlating market influences across a vast array of indices and economic indicators.

Applications pertaining to virtually all-time series and trend analysis, such as credit scoring, actuarial systems, demand forecasting, financial instrument forecasting, and so on.

Further information regarding the application of the HNeT technology within financial systems may be obtained from the reference book "Artificial Intelligence in the Capital Markets," Probus Publishing, New York.

Book about AI in capital markets

Research And Development

The HNeT technology offers a vast range of application opportunities for advanced machine learning within the emerging field of neuromorphic systems. The technology provides new and revolutionary avenues into the exploration and development of machine cognition, applying underlying holographic principles to cerebellar, neo-cortical, hippocampal, and related hyperincursive structures modeled through software on standard PCs.

AND provides the HNeT Application Development System to the government and industry under a special R&D license. In addition, we provide application development, as well as research and development services.