Algorithm for data-agnostic event detection from data streams
Event detection from data streams (for example, detection of computer breaches or new distant stars) typically involves a labor-intensive preprocessing step by experts, which is slow, error-prone, and expensive. Additionally, many of these events have low intensity signals that are obscured by random noise. This technology uses “Information Annihilation” (IA), a computational method to detect events by comparing two data streams without prior data interpretation. This technology provides a fast, low-cost method of event detection from any form of data stream, including low intensity data. Such high-sensitivity signal processing has wide applications in many fields, including bioinformatics, astrophysics, communications, and computer security.
Applicable to any form of data stream and is useful across many fieldsHigh sensitivityFastRuns in linear time, so applicable to real-time processingDoes not require expert pre-processingReduces human error in data interpretationIdentifies low intensity eventsCan be embedded on a chipPatent Information:Patent Pending (US 20150242469)Tech Ventures Reference: IR CU16056
Signal processing for communications Detection of abnormal medical events from monitors (EKG, EEG, heart monitors)Identification of astronomical events by processing of electromagnetic radiationSignal detection from large-scale bioinformatics data (RNA-seq, gene expression, protein expression)Cyber security by detecting malicious eventsMonitoring for system failures Detection of environment abnormalities in factories, electricity plants, and other hazardous workspaces
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