Well in my original comment I talked about combining data from three different sources and running it through AI. Your original response was only about one of those sources so it was a misrepresentation or a strawman of my entire point.
I remind you we have the technology to detect a specific heartbeat from the air from a great distance away that The general public didn't know about until just this week.
Machine learning excels at detecting anomalies and pattern recognition. It's just a matter of putting the data in and I doubt with millions and millions of dollars in contracts on the table that some government contractor hasn't put in this work already for all types of applications in underwater detection.
All of that tech you mentioned may work on land and for air applications. Underwater is a different story. My statements are not solely my own random speculations and opinions, but are based upon statements made by those with a great deal more expertise with underwater technology and the environment than myself, as well as the Navy and Department of War themselves about the current status of our operational capacity.
Marine research does not have the same institutional knowledge base that has been built over the years for air and land. There is so much of what is under the waves that we know almost nothing about simply because we have not been able to clearly see it. However, our tech is getting better at peering through the underwater environmental physics that adds some difficulty to our tech applications. But the US, as well as others, are quickly learning and more advanced systems are coming online in real time. It won't be long before many of those ocean knowledge gaps will be closed. AI has become a huge factor in that process.
Well in my original comment I talked about combining data from three different sources and running it through AI. Your original response was only about one of those sources so it was a misrepresentation or a strawman of my entire point.
I remind you we have the technology to detect a specific heartbeat from the air from a great distance away that The general public didn't know about until just this week.
Machine learning excels at detecting anomalies and pattern recognition. It's just a matter of putting the data in and I doubt with millions and millions of dollars in contracts on the table that some government contractor hasn't put in this work already for all types of applications in underwater detection.
All of that tech you mentioned may work on land and for air applications. Underwater is a different story. My statements are not solely my own random speculations and opinions, but are based upon statements made by those with a great deal more expertise with underwater technology and the environment than myself, as well as the Navy and Department of War themselves about the current status of our operational capacity.
Marine research does not have the same institutional knowledge base that has been built over the years for air and land. There is so much of what is under the waves that we know almost nothing about simply because we have not been able to clearly see it. However, our tech is getting better at peering through the underwater environmental physics that adds some difficulty to our tech applications. But the US, as well as others, are quickly learning and more advanced systems are coming online in real time. It won't be long before many of those ocean knowledge gaps will be closed. AI has become a huge factor in that process.