Unveiled at the two-year anniversary of the IBM Research AI Hardware Center, AI Hardware Composer for analog AI hardware enables one to master and accelerate the AI hardware technology to power more sustainable AI models. It’s one of many upcoming developments of the AI Hardware Center, launched in 2019 to innovate across materials, devices, architecture and algorithms.
To help developers minimize the risk of noncompliance, our team developed Trestle, an open-source tool for managing compliance as code, using continuous integration and the National Institute of Standard and Technology’s Open Security Controls Assessment Language.
During the month of March, IBM Research put the spotlight on a number of women scientists and engineers, and asked them about their professional and personal motivations, journeys and experiences as women — and particularly, as women in STEM. They represent the breadth of career experiences at IBM Research, across disciplines, geographies, ethnicities, tenures and backgrounds, who share a passion for science and tech, as well as a commitment to help all women rise to meet their aspirations.
Today, we honor the one-year anniversary of the formation of the COVID-19 High Performance Computing Consortium, a ground-breaking public-private initiative that gives researchers around the globe unprecedented access to the world’s most powerful computing resources. The Consortium brings together 43 organizations from around the world, uniting academia, government, and technology companies – many of whom are typically rivals - to tackle COVID-19, sharing their knowledge in ways not possible if they were acting alone.
In a new paper published in The Lancet’s EBioMedicine journal, “Evaluation of an Artificial Intelligence System for Assisting Neurologists with Fast and Accurate Annotation of Scalp Electroencephalography Data,” we describe the design and implementation of a new open hybrid cloud platform to manage and analyze secured epilepsy patient data.
IBM researchers in Japan launch the IBM Molecule Generation Experience, a tool that accelerates new materials design with AI and Hybrid Cloud.
We use AI to automatically break down the overall application by representing application code as graphs. Our AI relies on Graph Representation Learning – a popular method in deep learning. Graphs are a natural representation for software and applications. We translated the application to a graph where the programs become nodes. Their relationships with other programs become edges and determine the boundary to separate the nodes of common business functionality.
To help the developers that update legacy applications, our team has created Mono2Micro (monolith-to-microservice) – an AI assistant that modernizes legacy applications to help move them to the cloud as microservices. Our tool simplifies and speeds up the often error-prone “application refactoring” process of partitioning and preserving the original semantics of the legacy, monolith applications.
A patent is evidence of an invention, protecting it through legal documentation, and importantly, published for all to read. The number of patents IBM produces each year – and in 2020, it was more than 9,130 US patents – demonstrates our continuous, never-ending commitment to research and innovation.
IBM delivers first-of-its-kind security homomorphic encryption services offering for companies to begin experimenting with FHE.