AI Can Predict World Events Days In Advance All Credits to US Pentagon

AI to be of great help to the security forces



Technologies have become prominent in every aspect of life. It has been transforming every industry to great heights. Machine learning can now help the US military forces in taking proactive steps to prepare and safeguard their nation through predicting future world events way before they happen. Recently the US Northern Command has successfully completed a string of tests for Global Information Dominance Experiments (GIDE) , a slew of AI, cloud computing and sensors that can allow the Pentagon to predict events days prior.  This has a capability to alter military and governmental operations. 

The ML-based system can look at the changes made in raw, real-time data and can indicate the case of any problem. The report counts the example of satellite imagery of a rival nation’s submarine leaving or reporting from the port. This process can take quite a lot of time for military analysts to identify things but AI systems can predict and alert the authorities within a span of time. They have conducted a huge dry run to date GIDE3 that involved 11 US commands and the border Defense Department using a combination of military and civilian sensors to look at situations where contested logistics could cause issues. 

The Command leader General Glen VanHerck in a statement said that, “We’re not creating new capabilities to go get data and information. This information exists from today’s satellites, today’s radar, today’s cyber, today’s undersea capabilities, and today’s intel capabilities. The data exists. What we are doing is making that data available, and shared into a cloud, where machine learning and artificial intelligence look at it and they process it really quickly and provide it to decision-makers, which I call ‘decision superiority’. 

He also said that this gives them days of advanced warning and ability to react effectively. As earlier it would take so much time in getting satellite images, now it is all in real-time. According to VanHerck, this platform is likely to go live in the real world very soon. These tests were made on a ‘ready to field’ software which can be valid at the next Globally Integrated Exercise in the 2022 spring. 


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