We’re always working on a variety of projects. Here is some of what we’ve been working on over the last year.
- Natural Language Understanding for Customer Feedback Analysis
- Dynamic Query Construction for High-Volume, High-Velocity Streaming Data
- Quality and Scalability of Topic Models
- Efficient deployment, scheduling, and management of large scale HPC systems within commercial clouds.
- Building a framework for massively parallel parameter sweeps in the cloud.
- Developing better metrics for exploring and analyzing topic model output.
- Applying machine learning algorithms to transportation systems
- Optimizing YinYang K-Mean machine learning algorithm in ECL running on HPCC Systems Platform with larger clusters
- Using Hadoop MapReduce for large-scale genomic sequencing tasks.
- Fault tolerance in Software Defined Infrastructure
- Measuring the effects of latency variation on HPC workloads
- Applying Word Embeddings techniques to detect and classify posts in online user forums in terms of different complaint types