Aussie Healthtech develops AI training approach using privacy by design
We know that the more data it has to train on, the more efficient and accurate machine learning algorithms can get. Presagen, a healthtech scaleup from South Australia, has pioneered a federated learning technique that builds in privacy by design.
Using this decentralised and patent-pending approach, it trains AI algorithms at the data source (eg private patient data) wherever they are stored, without having to store or process the private information locally or sharing it further.
The Australian Cyber Law Map aims to create an online map of Australian laws that affect cyber security and cyber resilience. There is complexity in that and in future phases the team could be well positioned to identify fundamental gaps in our regulatory and compliance frameworks.Contributions to the Map are made by invited academics and experts working in the field of cyber law and cyber security.https://austlii.community/foswiki/CyberLaw/WebHomeImage by Edward Lich from Pixabay