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Authentication Vault (AuthVault) is an authentication platform that tightens the security of Internet-of-Things (IoT) devices deployed with little to no physical access control.

It removes confidential credentials from the IoT devices, hosting them on a trusted backend service that requires only a single sign-on (SSO).

A versatile platform, AuthVault optimises the security of various IoT-powered applications and smart devices used in precision engineering, construction and facilities management.

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A novel federated learning platform that does not need raw data transmission, FedPro trains machine learning models for improved accuracy in a decentralised approach that supports cross-institutional and cross-country collaborations. Because it does not require coding skills, FedPro can be easily customised and deployed for a variety of federated learning applications across sectors such as healthcare, fintech and manufacturing.

In the era of citizen journalism and collaborative media, the capability to verify fake news has grown increasingly important.

A*STAR’s Institute for Infocomm Research (I²R) has developed groundbreaking detection engines to identify manipulation accurately in three different modalities: audio, video and lip sync.

One proprietary technology is the Sleuth, which helps users safeguard themselves by identifying even the smallest notion of manipulation in videos. This one-of-a-kind face manipulation-based deepfake detection technology achieved a minimum accuracy rate of 90% in a blind dataset.

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ProfilePrint is an AI-driven ingredient quality platform powered by a patented digital food identity-as-a-service (IDaaS) technology.

ProfilePrint synthesises complex molecular data of ingredient samples into digital fingerprints, rapidly predicting its identity and quality, helping agribusinesses to buy and sell better.

ProfilePrint’s platform can be utilised in food testing and to assess ingredient quality. It offers an AI-driven predictive and prescriptive profiler, providing users with accessible, affordable, and portable solutions to ascertain and predict the quality and profile of a food ingredient (such as coffee beans, tea, cocoa and grains) at the point of use, and within seconds.

Digital Pathology A!HistoClouds is a cloud-based annotation platform developed for AI pathology diagnosis, focusing on prostate cancer. It ensures image quality using the Gleason Grading system, aligning with Singapore's healthcare vision.

A!MagQC automates image quality control, while A!HistoClouds facilitates collaborative AI model development. It has shown promise in a prostate cancer study and is transforming healthcare collaboration and AI model customisation.