AI GLOSSARY
Complex Signal Processing
Complex signal processing refers to the analysis and manipulation of data or information that varies over time or space and can be represented mathematically. These signals can come from various sources, such as sound, light, radio waves, electrical currents, or other physical phenomena. Complex signal processing is used in various fields, such as communications, radar, and AI, to handle signals more effectively, particularly when dealing with phase and amplitude information. Complex signal processing techniques enable more efficient data handling and improved accuracy in tasks like filtering, modulation, and pattern recognition.
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.