Watch the replay of the virtual roundtable, “Talking in Code: The New Frontier for AI and Hybrid Cloud,” with researchers from IBM, Columbia University and North Carolina State University discussing how AI can simplify and streamline hybrid cloud environments as well as make them more secure for mission-critical workloads.
IBM Research has initiated focused efforts called Code Risk Analyzer to bring security and compliance analytics to DevSecOps. Code Risk Analyzer is a new feature of IBM Cloud Continuous Delivery, a cloud service that helps provision toolchains, automate builds and tests, and control quality with analytics.
IBM Research is developing new ways to use AI to assure clients are moving their mission-critical workloads to a secure cloud environment and can manage those workloads across multiple clouds.
AI’s unprecedented demand for data, power and system resources poses the greatest challenge to realizing this optimistic vision of the future. To meet that demand, we’re developing a new class of inherently energy-efficient AI hardware accelerators that will increase compute power by orders of magnitude, in hybrid cloud environments, without the demand for increased energy.
This year’s IBM "5 in 5" predictions focus on accelerating the discovery of new materials to enable a more sustainable future. In line with the United Nation’s global call-to-action through its Sustainable Development Goals, IBM researchers are working to speed up the discovery of new materials that will address significant worldwide problems.
Gauteng Province Launches COVID-19 Dashboard Developed by IBM Research, Wits University and GCRO – Now Open to the Public
The Gauteng Province has been using data and cloud technologies to monitor and respond to Covid-19, and now they are sharing access with the public. As of 20 August the Gauteng Province in South Africa has 33% of the national cases for COVID-19 with 202,000 confirmed cases — and the numbers continue to rise. To address […]
What if I told you that it’s possible to teleport memory from one server and attach it to another server, without entering the datacenter building? You would probably: a) think you’re dreaming of a Star Trek episode; b) or better yet, think this is really cool and you could use it to improve the efficiency […]
Today, traditional enterprises are looking for ways to leverage the cloud for their digital transformation. This is driven by the need to create new revenue streams, deliver superior user experience, and reduce capital and operational expenditure. Hybrid cloud has emerged as the new normal for traditional enterprises. This is demonstrated by the fact that 94% […]
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.
Published in our recent ICASSP 2020 paper in which we successfully shorten the training time on the 2000-hour Switchboard dataset, which is one of the largest public ASR benchmarks, from over a week to less than two hours on a 128-GPU IBM high-performance computing cluster. To the best of our knowledge, this is the fastest training time recorded on this dataset.
IBM Mono2Micro application modernization efforts take another step forward with the release of an updated beta version that automatically generates API services and related code to activate Mono2Micro microservice recommendations.