Rice University computer scientists have won two grants from the National Science Foundation to explore new information processing technologies and applications that combine seamlessly co-designed hardware and software to allow for more effective and efficient data stream analysis using pattern matching . Initiated by a Rice seed grant, the projects address the limitations of current computing infrastructure's ability to process complex, unstructured data streams. A $1.2 million award will support Kaiyuan Yang , Konstantinos Mamouras and Todd Treangen in developing a programmable formal specification-based data stream processor that can analyze input from physical, biological and other systems, enabling real-time monitoring and informed decision-making in varied contexts ⎯ from health-monitoring to bioinformatics or cybersecurity applications.
https://www.miragenews.com/nsf-backs-rice-processor-design-chip-security-1093230/#miragenews
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