Our latest breakthrough in AI training, detailed in a paper presented at this year’s NeurIPS conference, is expected to dramatically cut AI training time and cost. So considerably in fact that it could help completely erase the blurry border between cloud and edge — offering a key technological upgrade for hybrid cloud infrastructures.
IBM Research played a central role in developing the technology underpinnings of IBM’s financial services public cloud, including the new IBM Cloud Security and Compliance Center, an IBM Cloud service.
Fifty years ago this month, IBM researcher and computing pioneer Edgar Frank Codd published the seminal paper “A Relational Model of Data for Large Shared Data Banks,” which became the foundation of Structured Query Language (SQL), a language originally built to manage structured data with relational properties. Today SQL is one of the world’s most […]
Your team has spent months developing, tuning and perfecting a complex deep neural network to classify important financial, medical or government data. The application has been containerized, packaged, and is finally ready to deploy as a public service on the cloud, but one thing stands in the way. How do you get assurance that your […]
This month, we are highlighting the work of women researchers at IBM who are pushing the frontiers of hybrid cloud technology. Each of them showcase the tremendous breadth of expertise, and the depth of research, that goes into building this next generation of computing.
For decades, developers and researchers have been using the command line interface (CLI) to build, execute, and deploy the software that runs the world around us. Users have come to love, hate and, eventually, embrace the unique, idiosyncratic, and sometimes antiquated challenges associated with using the terminal shell; and have adapted their behaviors and usage […]
IBM Research is proud to have participated in the 2019 IEEE World Congress on Services and played a key sponsorship role.
Here I describe an approach to efficiently train deep learning models on machine learning cloud platforms (e.g., IBM Watson Machine Learning) when the training dataset consists of a large number of small files (e.g., JPEG format) and is stored in an object store like IBM Cloud Object Storage (COS). As an example, I train a […]
Here at IBM Research – Ireland, we are rethinking the very foundations on which the cloud is built. We are developing a concept and prototype for low-power and high-utilization disaggregated cloud data centres that break known boundaries, enabling the dynamic creation of fit-for-purpose computing environments from a pool of disaggregated resources. Today’s cloud data centres […]
In the technology realm, containers are an approach to running a compute environment, a bit like virtual machines (VM). Users typically prefer containers because they use resources more efficiently, start and stop much faster, and are less expensive to maintain. IBM Research co-developed Ubiquity with the IBM Cloud Storage Solutions team with the objective of […]