Language of the Future: the 2nd annual Adarga Symposium on Artificial Intelligence

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Amplifying AI / ML Through Synthetic Environments Richard Warner Director Partnerships, Improbable

Dave Culley Product Manager, Improbable

Introduction

What is a Synthetic Environment?

The current technological revolution that’s transforming our industries, economies and lifestyles is set to have a similarly transformational impact on national security. The convergence of new technologies in the fields of Big Data & Advanced Analytics, AI, Machine Learning and distributed computing promise to give those that exploit them a significant competitive edge. Currently, the availability of data is less of a constraint than the accessibility of analytical tools powerful enough to let humans realise its true value. That’s about to change.

Improbable’s mission is to enable Synthetic Environments that are detailed, highly realistic representations of the real world that integrate data, artificial intelligence technologies, machine learning systems and constructive models such as digital twins and simulators. They’re engineered to help users explore real-world scenarios by letting them visualise, interact with and experiment on rich simulations.

Synthetic Environments are virtual representations of the real world, composed of interconnected simulation and analytical technologies that, when combined, form an ecosystem far greater than the sum of its parts.

Thanks to human-in-the-loop simulation coupled with detailed 3D rendering, users can even interact directly with the environment, enabling immersive training and rehearsal. Since hundreds or even thousands of users can experience this shared world at the same time, Synthetic Environments also promote shared understanding, improved consensus-forming, optimised decision-making and interoperation within and between organisations. Individuals at every level and across organisations will be able to improve their uniquely human attributes: using their imagination, honing their intuition and building on their experience. By running many simulations, many times, users can understand and explore the potential cascading consequences of their plans and allow critical decisions to be made with growing precision and confidence. Leaders can also employ their Synthetic Environments as a command and control tool that can help them manage the execution of those same plans that others have been developing and rehearsing. All of this builds resilience through increased preparedness, better planning and more extensive training.

Figure 1 The data revolution means that vast volumes of data are newly accessible. Those who can best interpret and exploit it will have a significant competitive advantage.

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User interfaces are carefully tailored, so how users experience a Synthetic Environment depends on what they need to achieve with it. For example, users can experience it as a real-time geospatial dashboard that brings together abstract systems like human geography with physical terrain. Alternatively, they can use the Synthetic 41