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TERATEC 2020 Forum
Wednesday October 14, 2020 - Workshops

Workshop 06 - 11:00 to 12:30

AI in scientific computing : accelerating innovation in industrial and academic domain
Chared by Eric Petit, Research engineer, HPC application specialist, Intel and Michaël Krajecki, Agence de l’Innovation de Défense (AID)

Neuromorphic Engineering for Cyber Security
By Mathilda Rhodes, cyber security and AI researcher, Airbus

Machine learning is being widely adopted for cyber security monitoring to detect malicious attacks. In order to minimise the damage caused by a malicious attack, the time to detection should be as short as possible.

Neuromorphic hardware takes inspiration from the human brain to create non-Von Neumann chip architectures capable of near real-time processing using a fraction of the power required by traditional computing hardware.

Recent advances by Intel in neuromorphic chip development have led to the Loihi chip which is currently able to provide on-chip learning at a scale not previously seen. Both the processing speed and low-power of the chip are advantageous for security monitoring applications. Additionally, neuromorphic chips make use of spiking neural networks, which are well-suited to representing temporal data, such as a sequence of security events.

We present our initial findings in using the Loihi chip for malware detection. 

Biography  : Matilda Rhode is a cyber security and AI researcher at Airbus, her PhD research at Cardiff University has focused on malware detection using neural networks for endpoint protection. Her research interests include network and endpoint monitoring, machine learning and neuromorphic computing.

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