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 […]
Hybrid Cloud is rapidly becoming the go-to IT strategy for organizations seeking the perfect mix of scalability, performance and security. As a result, it is now common for an organization to rely on a mix of on-premise and cloud solutions, or “data-sources”, from different providers to store and manage their data. It doesn’t really sound […]
IBM is announcing new IBM Research-led open source projects — Kui and Iter8 — for continuous innovation and increased productivity with Kubernetes.
IBM cloud researchers released version 1.0.0 of OpenAPI-to-GraphQL, a library to auto-generate GraphQL wrappers for existing REST(-like) APIs. In contrast to other libraries, OASGraph is data-centric, understands swaggers and Open API Specification (OpenAPI 3.0.0) files, sanitizes / de-sanitizes parts of REST APIs not compatible with GraphQL, and makes use of OpenAPI 3.0.0 features like links to generate more usable GraphQL interfaces.
From Seed to Shelf: How IBM Innovations Will Transform Every Stage of the Food Supply Chain Within the Next Five Years
The annual 5 in 5 – five breakthroughs out of IBM's global labs that stand to help improve our lives in the next five years.
IFI CLAIMS Patent Services today announced that for the 26th year, IBM is the top recipient of U.S. patents – a record 9,100, including more than 3,000 patents related to work in artificial intelligence, cloud and quantum computing. Our work in these areas, and others, began long before there were practical enterprise uses for the […]
NeuNetS uses AI to automatically synthesize deep neural networks faster and more easily than ever before, scaling up the deployment and adoption of AI.
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 […]