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Accelerating AI tasks while preserving data security

MIT researchers have developed SecureLoop, a search engine that helps in the design of deep neural network accelerators for AI applications while ensuring data safety. The tool considers data encryption and authentication factors affecting chip performance and energy usage. Compared to scheduling methods that don’t account for data security, SecureLoop can enhance accelerator design performance. It can aid users in enhancing AI applications’ speed and performance while keeping data safe from certain threats.

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