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 | hf:tax:rig | hf:tax:partner_university |
|---|---|---|---|---|---|---|
| ICOS: IoT2Cloud Operating System | The ICOS project aims at covering the set of challenges coming up when addressing this continuum paradigm, proposing an approach embedding a well-defined set of functionalities, ending up in the definition of an IoT2cloud Operating System (ICOS). | AI-ML, Cloud-DS, Security, Privacy, Cryptography | Europe, Israel | National and Kapodistrian University of Athens, Technische Universitãt Braunschweig, Universitat Politécnica de Catalunya (UPC) | brno tel-aviv | national-and-kapodistrian-university-of-athens technische-universitat-braunschweig universitat-politecnica-de-catalunya-upc |
| Cloud Cost Optimizer | The goal of this project is to design and implement a scalable multi-cloud cost optimizer capable of calculating the best … | AI-ML, Cloud-DS | Israel | Technion | tel-aviv | technion |
| Understanding accuracy decay in online image retrieval systems within the context of open-set classification and unsupervised clustering | Image retrieval systems are extremely useful to political scientists and human rights advocates attempting to understand the scope and spread of disinformation in massive datasets. However, in standard image retrieval tasks the corpus of images is unchanging as time moves forward. When considering online disinformation this is clearly not the case. Image retrieval in an online system can essentially be modeled as an open-set problem, where there is no guarantee that the classes of images seen before will have any correspondence to the classes of images seen at present or in the future. | AI-ML, Cloud-DS | Greater New England | University of Notre Dame | greater-boston | university-of-notre-dame |
| Tuning the Linux kernel | The Linux kernel is a complicated piece of software with multiple components interacting with each other in complex ways. The … | AI-ML, Hardware and the OS | Greater New England | greater-boston | ||
| Disinformation Detection at Scale | The increased prevalence of fake and manipulated visual media on the Internet has led to social and technical dilemmas in … | AI-ML, Security, Privacy, Cryptography | Greater New England | UNICAMP - Universidade Estadual de Campinas, University of Notre Dame | greater-boston | unicamp-universidade-estadual-de-campinas university-of-notre-dame |
| 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 | In this project, a team of BU faculty will team up with Red Hat researchers and with SmartaByar, an organization … | 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 | BU faculty members Manos Athanassoulis and Evimaria Terzi will work on building a new robust tuning framework for LSM-based data … | AI-ML, Hardware and the OS | Greater New England | Boston University | greater-boston | boston-university |
| PHYSICS: oPtimized HYbrid Space-time servIce Continuum in faaS | Join Red Hat Research for the next Research Days event, “PHYSICS EU Project: Advancing FaaS applications in the cloud continuum,” on November 16, 2022, … | 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 open source infrastructure. The project … | 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 the operation of the cloud itself. | 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 (e.g. LLC misses to L1 requests, Cycles Per Instruction). | 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 impossible. Our overall goal is to enable FPGA application development by High Level Language (HLL) programmers, especially for the data center and the edge, and exclusively using existing open-source tools. | AI-ML, Cloud-DS, Hardware and the OS | Greater New England | Boston University | greater-boston | boston-university |