Cybersecurity Analysis Neural Engine Whitepaper

A fundamental challenge with cyber security systems is the associated requirement toperform sophisticated data analysis at high speed. While machine learning (ML) is effectiveat addressing many Cyber problems, its computational complexity often makes its implementationinfeasible at line rates. Signature-based intrusion detection systems (IDSs) identifyknown attacks and fall into the misuse detection class. Machine Learning approaches …

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FPGA-based Machine Learning Whitepaper

Field-programmable gate array (FPGA) technology is eminently applicable to a large class of computing problems in general and machine learning in particular. Compared with other technologies including central processing units, digital signal processors, graphics processing units and application specific integrated circuits, FPGAs offer unique enhancement, Parallelism, Integration and Customisation (EPIC) opportunities, leading to improved latency, …

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