AI/ML
No longer the realm of supercomputing labs and theoretical research, AI/ML is just beginning to expand its practical applications. The combination of academic approaches and industry use cases promises to accelerate its adoption. Our research spans the gamut of algorithm development, data hygiene, AI methods, and attacking old challenges with AI approaches.
Projects
| Project | Summary | Research Area | RIG | Universities | rig_hfilter | partner_university_hfilter |
|---|---|---|---|---|---|---|
| AI for Cloud Ops | This project aims to address this gap in effective cloud management and operations with a concerted, systematic approach to building and integrating AI-driven software analytics into production systems. We aim to provide a rich selection of heavily-automated “ops” functionality as well as intuitive, easily-accessible analytics to users, developers, and administrators | AI-ML, Cloud-DS, Hardware and the OS | Greater New England | Boston University | greater-boston | boston-university |
| Creating a global open research platform to better understand social sustainability using data from a real-life smart village | Project Proposer: Christos Cassandras | AI-ML, Cloud-DS, Security, Privacy, Cryptography | Greater New England | Boston University | greater-boston | boston-university |
| OSMOSIS: Open-Source Multi-Organizational Collaborative Training for Societal-Scale AI Systems | The goal of our project is to develop a novel framework and cloud-based implementation for facilitating collaboration among highly heterogeneous research, development, and educational settings. | AI-ML, Cloud-DS | Greater New England | Boston University | greater-boston | boston-university |
| Linux Computational Caching | In this speculative work we are attempting to explore a biologically motivated conjecture on how memory of past computing can be stored and recalled to automatically improve a system’s behavior. | AI-ML, Cloud-DS, Hardware and the OS | Greater New England | Boston University | greater-boston | boston-university |
| Intelligent Data Synchronization for Hybrid Clouds | The goal of this project is to design configurable synchronization solutions on a common platform for a wide range of edge computing scenarios relevant to Red Hat. These solutions will be thoroughly validated on a state-of-the-art testbed capable of emulating realistic environments (e.g., smart cities). | AI-ML, Cloud-DS, Testing and Ops | Greater New England | Boston University | greater-boston | boston-university |
| Robust Data Systems Tuning | Project proposer: Manos Athanassoulis | AI-ML, Hardware and the OS | Greater New England | Boston University | greater-boston | boston-university |
| PHYSICS: oPtimized HYbrid Space-time servIce Continuum in faaS | PHYSICS is a high technology European research project with total funding of about 5ML€ proceeding … | AI-ML, Cloud-DS | Europe, Israel | brno tel-aviv | ||
| Adaptive Learning of Programming | The mission of Adaptive Learning of Programming is to make learning more efficient and engaging by personalizing educational systems using artificial intelligence techniques. | AI-ML | Europe | Masaryk University | brno | masaryk-university |
| OpenInfra Labs | OpenInfra Labs is an OpenStack Foundation project connecting open source projects to production to advance … | AI-ML, Cloud-DS, Hardware and the OS, Security, Privacy, Cryptography, Testing and Ops | Boston University, Northeastern University, UMass Amherst | boston-university northeastern-university umass-amherst | ||
| Open Cloud Testbed | The Open Cloud Testbed project will build and support a testbed for research and experimentation into new cloud platforms – the underlying software which provides cloud services to applications. Testbeds such as OCT are critical for enabling research into new cloud technologies – research that requires experiments which potentially change … | AI-ML, Cloud-DS, Hardware and the OS, Security, Privacy, Cryptography, Testing and Ops | Greater New England | Boston University, Northeastern University, UMass Amherst | greater-boston | boston-university northeastern-university umass-amherst |
| Open CEP – An Advanced Open Source Complex Event Processing Engine | The aim of this project is to create a scalable open-source complex event processing (CEP) framework. | AI-ML | Israel | Technion | tel-aviv | technion |
| Ceph: Wire-Level Compression-Efficient Object Storage Daemon Communication for the Cloud | The project’s purpose is to reduce storage network traffic (object, block, etc.) for the following cases: between the failure domains in cost-sensitive environments such as public clouds, and between nodes in cases where the network bandwidth is the bottleneck of the node performance. | AI-ML | Israel | Reichman University | tel-aviv | reichman-university |
| Code2Vec: Learning code representations | This project analyzed semantic similarities of learned code embeddings parsed from open source python libraries such as numpy, pandas and sklearn. Still in progress is another analysis that learns code embeddings in a supervised manner with the C++ codebase for performance measurement of program execution in CPU with performance counters … | AI-ML | Greater New England | Boston University | greater-boston | boston-university |
| Practical programming of FPGAs in the data center and on the edge | FPGAs are now essential components in the data center and on the edge with millions deployed. FPGAs are found in a wide variety of system elements and provide such critical functions as SDN, encryption/decryption, and compression. Yet for nearly all system providers, much less system users, programming these FPGAs is … | AI-ML, Cloud-DS, Hardware and the OS | Greater New England | Boston University | greater-boston | boston-university |