As GPS technology becomes increasingly vulnerable to jamming and interference, the military-communications industry is turning to machine learning (ML) to mitigate risks and explore alternative navigation systems.
GPS technology has become an integral part of our military infrastructure, but its susceptibility to jamming and interference can severely compromise our national security. Armed forces around the world have been exposed to this vulnerability, and it's time we address this issue head-on with innovative solutions.
Machine learning (ML) has emerged as a promising solution to navigate GPS-denied environments. Researchers are exploring ways to use ML in deep sensing to assess the operational 'state' of various platforms and sensors. This holistic approach allows for a more accurate assessment of whether the current environment is challenged or unchallenged.
Additionally, machine intelligence has the potential to optimize the operational capabilities of sensors, platforms, and weapons in GPS-denied environments. By leveraging ML, we can adapt and improve our systems to function efficiently even when GPS access is disrupted. As a quantum computing evangelist, I firmly believe that investing in machine learning and alternative navigation systems is crucial for maintaining our technological and economic advantage in the coming years.
