AI GLOSSARY
Continuous Metalearning
Continuous Metalearning is a technological capability that allows AI models to optimise their learning process and adapt to changes in the real world. It offers protection from the risks associated with misaligned AI and enables models to get better over time.
5 min read
AI for Sensor Fusion: Sensing the Invisible
by Nick Sherman
In Defence and National Security, mission-critical data often emerges from a multitude of different sensor types. With AI, we can bring this...
5 min read
Insuring Against AI Risk: An interview with Mike Osborne
by Nick Sherman
When used by malicious actors or without considerations for transparency and responsibility, AI poses significant risks. Mind Foundry is working with...
Stay connected
News, announcements, and blogs about AI in high-stakes applications.