Light-weight, flexible access control, which allows software to regulate reads and writes to any granularity of memory region, can help improve the reliability of today’s multi...
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
The lack of memory safety in many popular programming languages, including C and C++, has been a cause for great concern in the realm of software reliability, verification, and mo...