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 |
|---|---|---|---|---|---|---|
| Mass Open Cloud (MOC): An open, distributed platform enabling AI/ML workloads | Red Hat has for many years participated in and supported the Mass Open Cloud Alliance (MOC-A). With the rising importance … | AI-ML, Cloud-DS, Hardware and the OS, Security, Privacy, Cryptography | Boston University, Harvard University | boston-university harvard-university | ||
| SEMLA: Securing Enterprises via Machine-Learning-based Automation | The SEMLA project seeks to make the development of software systems more resilient, secure, and cost-effective. SEMLA leverages recent advancements … | AI-ML | Europe | KTH Royal Institute of Technology | brno | kth-royal-institute-of-technology |
| Discovering Opportunities for Optimizing OpenShift Energy Consumption | AbstractDrawing from our collective experience, we believe a wide array of opportunities for implementing energy optimization exist within OpenShift. However, … | AI-ML, Testing and Ops | Boston University | boston-university | ||
| DataWorksAI Text-to-SQL LLM chatbot | This research project involves Master’s students in Analytics and Machine Intelligence at Northeastern University, Boston, MA This project aims to … | AI-ML | Northeastern University | northeastern-university | ||
| AIDA – A holistic AI-Driven networking and processing framework for Industrial IoT | AIDA aims to enable novel trustworthy data-driven real-time industrial IoT applications by building a holistic AI-driven Networking and Processing framework. Indeed, … | AI-ML, Cloud-DS, Hardware and the OS, Testing and Ops | Europe | Karlstad University | brno | karlstad-university |
| Improving Cyber Security Operations using Knowledge Graphs | AbstractThe objective of this project is to improve the workflow and performance of security operation centers, including automating several of … | AI-ML, Cloud-DS, Testing and Ops | North America | Boston University | greater-boston | boston-university |
| Common Vulnerabilities and Exposures (CVE) mining and prediction | With the continuous increase in reported Common Vulnerabilities and Exposures (CVEs), security teams are overwhelmed by vast amounts of data, … | AI-ML, Security, Privacy, Cryptography | Israel | Reichman University, Tel Aviv University | tel-aviv | reichman-university tel-aviv-university |
| AppLearner: learn and predict the resource consumption patterns of your application | This project targets the problem of accurately estimating resource requirements for workloads running over Red Hat OpenShift Container Platform and adjusting these estimations during the course of application execution. | AI-ML, Cloud-DS | Israel | Technion | tel-aviv | technion |
| Minimal Mobile Systems via Cloud-based Adaptive Task Processing | The high cost of robots today has hindered their widespread use. Specifically, a limiting factor involves extensive hardware and software … | AI-ML, Cloud-DS | North America | Boston University | greater-boston | boston-university |
| Co-Ops: Collaborative Open Source and Privacy-Preserving Training for Learning to Drive | Note: This project is a continuation of OSMOSIS: Open-Source Multi-Organizational Collaborative Training for Societal-Scale AI Systems. AbstractCurrent development of autonomous … | AI-ML, Cloud-DS | North America | Boston University | greater-boston | boston-university |
| CoDes : A co-design research lab to advance specialized hardware projects | CoDes research lab provides the infrastructure and engineering foundation needed to support co-design based specialized hardware research. The lab is currently located at Boston University, as part of the Red Hat – Boston University collaboratory. | AI-ML, Cloud-DS, Hardware and the OS | North America | Boston University | greater-boston | boston-university |
| 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 | North America | 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 | North America | Boston University | greater-boston | boston-university |
| 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 | North America | 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 | North America | 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 | A BU team is working with SmartaByar and the Red Hat Social Innovation Program in order to create a global … | AI-ML, Cloud-DS, Security, Privacy, Cryptography | North America | 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 | North America | 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 | North America | Boston University | greater-boston | boston-university |
| The Open Education Project (OPE) | In this project we are developing an exemplar set of materials for an introductory computers systems class that exploits, Jupyter, Jupyter Books, OpenShift and the the Mass Open Cloud to develop and deliver a unique educational experience for learning about how computer systems work. | AI-ML, Cloud-DS | North America | 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 | North America | Boston University | greater-boston | boston-university |
| Robust Data Systems Tuning | Note: Please see the Learned Cost-Models for Robust Tuning project page for research that has grown from this project. See … | AI-ML, Hardware and the OS | North America | 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 |
| 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 | North America | Boston University, Northeastern University, UMass Amherst | greater-boston | boston-university northeastern-university umass-amherst |
| 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 |