MANC was formed in 2008 in response to a request for Alex Nugent's consulting services in neuromorphic computing for DARPA's SyNAPSE and Physical Intelligence programs. MANC is a small and agile company that can respond quickly and efficiently to emerging research opportunities in this rapidly evolving field. Our mission is to transition technology from raw concept to tangible and commercializable prototypes, bringing blue-sky ideas down to earth.
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We offer consulting, research and development services in the field of AHaH computing. We also are set up to act as a prime or sub contractor on government programs.
We offer consulting and training for AHaH computing and machine learning.
We can act as prime or subcontractor on US Government sponsored research and development programs.
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In addition to: Max-Margin Multi-label Classification Prediction Anomaly Detection Robotic Actuation Spike Encoding Feature Learning Auto Encoding Clustering (Universal) Reconfigurable and self-repairing logic and memory structure …the KnowmAPI now additionally supports Stochastic Gradient Ascent! A Strike-Search is one way of turning
AHaH Computing Paper Publishes Learn about Knowm and check out our paper AHaH-Computing at PLOS ONE.
Advancements in real-valued vector spike encoding After a programming simplification to the standard A2D Anti-Hebbian spike encoder, we got this cool result. Each color represents a unique output spike ID. This encoder allocates resolution to regions of higher density. What