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The US Open and IBM.

IBM Watson OpenScale is the open platform that helps businesses manage production AI wherever their data lives, with trust and confidence in outcomes.

From IBM Research and IBM product teams, a few open source code communities stand out. AI Fairness 360 is an open source tool that data scientists can use to detect and mitigate biases in machine learning models, and an enhanced version is included in IBM AI Openscale.
The US Open’s hybrid cloud is smart and open. To handle different workloads, the US Open needed a combination of on-premise, private and public clouds. IBM Cloud and Red Hat OpenShift bring those clouds together to create a seamless experience for 10 million fans around the world. AI Explainability 360 is a comprehensive toolkit that offers a unified API to bring together: state-of-the-art algorithms that help people understand how machine learning makes predictions; guides, tutorials, and demos together in one interface; The initial release of AI Explainability 360 contains eight different algorithms, created by IBM. IBM has made three AI projects aiming to help cure cancer available to the open-source community. Cancer is estimated to have caused 9.6 million deaths in 2018 alone. Around one in two will develop cancer in their lifetimes, and few will not know someone impacted by its blight. Fortunately, advancements are making the discovery and [].

Watson Machine Learning Accelerator, a new piece of Watson Machine Learning, makes deep learning and machine learning more accessible to your staff, and brings the benefits of AI into your business. It combines popular open source deep learning frameworks, efficient AI development tools, and accelerated IBM® Power Systems™ servers. To that end, the Center for Open-Source Data & AI Technologies CODAIT launched IBM Model Asset eXchange MAX in 2018 to help data scientists and developers easily discover ready-to-use free and open source machine learning and deep learning models. IBM and Red Hat have been partners for more than a decade, standardizing, and securing open source for the enterprise. The acquisition of Red Hat by IBM will continue this partnership and strengthen our commitment to creating open source solutions that solve our clients’ business problems. IBM Watson is open AI for any cloud environment. Watson comes pre-integrated and pre-trained on a flexible information architecture optimized to accelerate production and deployment of AI. Build models and develop applications to help your business make more accurate predictions. With Watson, you can bring AI tools and apps to your data wherever it resides – whether it's on IBM Cloud, AWS, Azure, Google, or your own private cloud platform.

CODAIT - IBM Code.

AI Explainability 360 – IBM Developer.

OpenAI is a research laboratory based in San Francisco, California. Our mission is to ensure that artificial general intelligence benefits all of humanity. The OpenAI Charter describes the principles that guide us as we execute on our mission. IBM has a clear strategy to create, support, and enhance Open Tech AI -- from the Center of Open-Source Data and AI Technologies CODAIT to the machine learning and deep learning capabilities in IBM Watson Studio. 24/07/2019 · IBM has open-sourced three artificial intelligence AI projects tailored to help cure cancer. The first project, PaccMann, predicts anticancer compound sensitivity using "multi-modal attention-based neural networks". Big Blue is working on the PaccMann algorithm to analyse chemical compounds and. Artificial Intelligence AI has a long history at IBM Research, dating back to the 1950s. By AI we mean anything that makes machines act more intelligently. Our work includes basic and applied research in machine learning, deep question answering, search and planning, knowledge representation, and cognitive architectures. This is the main AI.

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