Trump’s decision to build missile defenses has not yet elicited detailed analysis. For its possessor, the creation of a strategic missile defense means the temptation of a nuclear first strike. So far, it is too complicated, unreliable and expensive.
In the ranking of companies creating artificial intelligence all the first lines are American. Trump announced support for the Stargate AI project ($500 billion investment, a partnership between OpenAI, Oracle and SoftBank). Could AI, coupled with advances in the rocket and space industry, create a more robust national missile defense? Here’s what ChatGPT thinks about it:
- AI can analyze data from radar stations, satellites, and other sensors, detecting ballistic and hypersonic missile launches faster and more accurately than traditional systems.
- trained neural networks can detect anomalies and classify objects (e.g., distinguish warheads from decoys).
- Integrating information from different sources can improve the accuracy of trajectory predictions.
- AI can instantly model missile trajectories and predict their final impact points.
- Utilizing historical data to accurately predict target movement.
- Optimizing intercept points to minimize risk.
- AI can allocate BMD system resources more efficiently and optimize the selection of interceptors and sensors to maximize the probability of threat destruction.
- Optimization of ABM supercomputers and data centers.
- Model scenarios and train operators
- Modern hypersonic missiles pose a challenge for BMD systems, but AI can improve its effectiveness, recognize the characteristic trajectories of hypersonic targets, and predict target movement.
ChatGPT concludes about its potential future: AI has the potential to significantly improve the performance of strategic missile defense systems by increasing detection rates, forecast accuracy, and resource management efficiency.
