Computer Science and Engineering

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Making AI smarter without more training data
UCR researchers develop a method called Test-Time Matching, an approach that significantly improves how AI systems interpret relationships between text and images, especially when presented with unfamiliar combinations.
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Professor Yue Dong and her PhD student Haz Sameen Shahgir
CSE Researchers Develop New Methods for Full-Length RNA Modeling
Researchers from CSE, Professor Yue Dong and her PhD student Haz Sameen Shahgir, have developed BiRNA-BERT, a new RNA language model capable of processing full-length RNA sequences without the truncation limitations seen in prior models. This breakthrough allows the model to handle long non-coding RNAs (lncRNAs) in their entirety, achieving state-of-the-art performance in lncRNA interaction prediction. Ongoing work aims to extend BiRNA-BERT to RNA-based homology search, opening new possibilities for studying evolutionary relationships that were previously inaccessible to language-model-based
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CSE Professor Manu Sridharan’s Innovation Facilitates Spring Boot’s New Null-Safety Features
Recently, the Spring team announced new null-safety features in the latest Spring Boot release. These improvements prominently rely on NullAway, a static-analysis tool developed by Professor Manu Sridharan and his research group. Spring Boot Framework, as used by millions of Java applications, now recommends NullAway for build-time nullness checking to help developers eliminate NullPointerExceptions and adopt modern, standardized null-safety practices. This integration highlights the growing industry impact of Professor Sridharan and UCR's research in advancing safe, reliable software
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UCR leads $8 million effort for dynamic computer networks
UCR leads $8 million effort for dynamic and secure computer networks to benefit military needs and civilian applications.
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