The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Register now! Let the OSS Enterprise newsletter guide your open source journey! Sign up here. TriggerMesh, a Kubernetes-native platform that companies use to connect applications and data in multi-cloud environments, has announced that its core integration platform is now available under an open source license. Founded in 2018, […]
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DeepMind open-sources protein structure dataset generated by AlphaFold 2
All the sessions from Transform 2021 are available on-demand now. Watch now. DeepMind and the European Bioinformatics Institute (EMBL), a life sciences lab based in Hinxton, England, today announced the launch of what they claim is the most complete and accurate database of structures for proteins expressed by the human genome. In a joint press […]
DeepMind open-sources AlphaFold 2 for protein structure predictions
All the sessions from Transform 2021 are available on-demand now. Watch now. DeepMind this week open-sourced AlphaFold 2, its AI system that predicts the shape of proteins, to accompany the publication of a paper in the journal Nature. With the codebase now available, DeepMind says it hopes to broaden access for researchers and organizations in […]
Microsoft open-sources Counterfit, an AI security risk assessment tool
Join Transform 2021 this July 12-16. Register for the AI event of the year. Microsoft today open-sourced Counterfit, a tool designed to help developers test the security of AI and machine learning systems. The company says that Counterfit can enable organizations to conduct assessments to ensure that the algorithms used in their businesses are robust, […]
Facebook open-sources Opacus, a PyTorch library for differential privacy
Facebook today open-sourced Opacus, a library for training PyTorch models with differential privacy that’s ostensibly more scalable than existing methods. With the release of Opacus, Facebook says it hopes to provide an easier path for engineers to adopt differential privacy in AI and to accelerate in-the-field differential privacy research. Typically, differential privacy entails injecting a […]
Uber open-sources automated design framework for experiments
Uber today released a framework for designing experiments within Pyro, its open source tool for deep probabilistic modeling. The framework leverages machine learning to enable optimal experimental design (OED), a principle based on information theory that enables the automatic selection of designs for complex experiments. With the framework, experimenters can apply OED to a large […]