AeroMedLab will be in New Mexico 9/5/24 through 9/9/24 gathering velocity and Hematocrit data for dropping pigs blood. Here is some background into the code.
AeroMedLab uses a physics engine inside of the Python PyTorch library which we call the PtorEngine. This custom physics engine generates both training data for our AI and allows us to represent the world as the drone makes decisions.
Here is a bit on our test objectives in New Mexico and how the engine works.
If you don’t have $1.6 million dollars, you can but an AeroMedLab t-shirt or hoodie here.
Ryan, I worked for a number of tech startups in the past. In just about every case, having a working beta was the best start to obtaining new investor interest. The next was to have a beta site customer signed up to participate in next level testing. Your early marketing presentation showing how an investor is going to profit is critical to get interest among investors. Good luck and I look forward to your success.
Is it possible to use Side Scanning Radar data from Air Force or even Battle Surveillance Radar the make the trip to target run avoid "known obstacles" en route. There might even have them as waypoint navigational.
I don't know how smart your system is but these could be on the dream sheet for a later iteration.
Don't mess with what you are doing now. It's a giant step past your competition. Get Ver 0.7 up to 1.0, then sell the customer on what you dream of.
B. D. Hoag
Lt. (USNR) Med.