Shaping the future of technology
Temporality in General-Domain Entailment Graph Induction
Authors: Mark Johnson, Sander Bijl de Vroe, Mark Steedman
Challenges in adopting Machine Learning for Cybersecurity
Authors: Desislava Wagenknecht-Dimitrova
Runtime Prevention of Deserialization Attacks.
Authors: François Gauthier, Sora Bae
Research project to explore distributed computing problems relevant to Big Data Analytics, Cloud Infrastructures and modern networking and storage technologies.
KeyBridge is a multi-disciplinary project using expertise from systems-programming, data visualization and machine learning in order to understand massive streams of data.
The mission of the Machine Learning Research Group is to scale Machine Learning across Oracle by researching and developing ML-based solutions that improve Oracle's products and services.
Parallel, efficient, in-memory, single-machine and distributed graph processing
Programming language design, semantics, algorithms, and implementation with an emphasis on convenient use of parallelism using multicores and GPUs.
Randomized Decomposition is a mathematical programming technique for solving hard, non-convex mathematical programming problems.
Exploration of new secure language concepts and secure abstractions that can be applied in future languages to prevent vulnerabilities in code written in those languages.