The program will rapidly analyze complex data of a military operation and derive solutions and decisions for the continuation.
The US military’s Defense Advanced Research Projects Agency (DARPA) is developing an artificial intelligence program that will be able to rapidly analyze all the data of a complex military operation involving land, sea, air, space and cyber forces and recommend the optimal tactics to follow to win the battle.
This program has been named Strategic Chaos Engine for Planning, Tactics, Experimentation and Resiliency (SCEPTER) which as its name suggests will deal with planning, tactics, experimentation and resilience by collecting and analyzing various kinds of independent and seemingly unrelated information and data from a military operation and ultimately organizing this strategic mess.
By combining human knowledge and experience with the computing power of artificial intelligence, DARPA hopes that military simulations could lead to better and faster war strategies. SCEPTER is based on machine learning which is a rapidly growing branch of artificial intelligence and was the most popular before the advent of the genetic artificial intelligence branch that has dominated the last one year across the length and breadth of the technology industry.
However, experts who were asked to comment on the specific program state that it is undoubtedly a useful tool that will help to quickly process a lot of seemingly unrelated data, but in any case this tool will have a purely advisory role and the final decision will be made by a human being because it is the human filter that can best see the big picture.
