Machine Learning
Transform data into Action with Advanced Machine Learning
Machine learning is transforming industries by uncovering hidden patterns, improving automation, and enabling intelligent decision-making. At Plextek, our expertise in AI to solve complex engineering challenges helps businesses work more efficiently and make better decisions, faster.
Why Machine Learning?
By streamlining decision-making and enhancing processes, ML forms the cornerstone of innovation across various industries. Plextek brings unmatched expertise in ML and it’s specialised branches, including Deep Learning, Reinforcement Learning, and Generative AI, to propel technological and engineering advancements and deliver real-world impact.
Modern ML uses sophisticated algorithms and mathematical models to convert complex data into actionable insights. It identifies hidden patterns and fuels predictive analytics, empowering systems to learn and evolve continuously.
Generative AI
Generative AI creates new content—from text and images to music—by learning from existing data. It not only automates creative processes but also opens new avenues for innovation in content generation and design.
Project: Rapid RF propagation modelling
Plextek has engineered an AI-driven generative model that has the capability to revolutionise RF propagation modeling. This cutting-edge proof-of-concept rapidly creates signal strength maps for RF emissions across urban, suburban, and rural settings. Delivering exceptional accuracy comparable to physics-based simulation models, it achieves results in mere milliseconds rather than the traditional tens of minutes. Read more…
Deep Learning
Deep learning employs multi-layered neural networks to capture intricate patterns in vast datasets. This approach powers applications like image and speech recognition, enabling breakthroughs in automation and analysis.
Project: Wind Turbine Radar interference removal
Plextek harnessed AI-powered deep learning to overcome radar interference caused by wind turbine clutter. Their innovative approach accurately distinguishes real aircraft from false signals, enhancing air traffic control safety.
By integrating modelling, simulation, and scaled experiments, Plextek demonstrated that advanced AI algorithms can learn to filter clutter effectively. This breakthrough reduces operator cognitive load while ensuring early detection of small aircraft. Plextek’s expertise in applying AI to real-world challenges drives engineering innovation forward. Read more…
Reinforcement Learning
Reinforcement learning trains agents through trial and error, rewarding actions that lead to optimal outcomes. This dynamic process is crucial for robotics, gaming, and autonomous systems where adaptability is key.
Project: Cognitive routing using Reinforcement Learning
Plextek developed a cutting-edge deep reinforcement learning solution that leverages Double Deep Q Networks and Graph Neural Networks for optimal packet routing in Mobile Ad-hoc Networks.
By capturing the complex, dynamic structure of the network through GNNs, our agent adapts in real time to rapidly changing topologies. Achieving performance comparable to state-of-the-art algorithms, this project highlights our expertise in harnessing advanced AI to solve real-world networking challenges.
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Enhancing network efficiency with ML & RL
Enhancing Mobile Ad-Hoc Network Routing with GNN-Driven DRL Agent: Improving Packet Delivery and Adaptability in Dynamic Environments
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Optimising Radar Training with Machine-Assisted Machine Learning
See how Plextek is optimising radar training using automating data labelling & machine-assisted machine learning
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Semantic Segmentation in Visual Scene Matching
Learn how we boost accuracy in Visual Scene Matching with Semantic Segmentation, aiding navigation and tracking in dynamic environments.
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Machine Learning for Rapid Propagation Assessment
Developing a groundbreaking ML model for swift and efficient coverage prediction in complex urban environments, enabling rapid optimisation of transmitter locations on standard computing hardware.
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Immersive Technology for Complex Systems Training
Using the latest immersive technologies to deliver realistic and engaging training solutions for complex systems, ensuring specialist procedures are effectively imparted and measured within any environment.
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Intelligent Mobility
Advancing intelligent mobility by integrating cutting-edge electronic-scanning radar technology to ensure the safe and efficient operation of autonomous vehicles in complex real-world environments.
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Drone Inspection of Solar Farms
Enhancing solar farm efficiency through advanced drone inspection and automated analysis of diagnostic data.
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Ensuring the Future Safety of Windfarms
Developing a cutting-edge solution using deep learning to effectively differentiate between radar tracks from aircraft and wind turbines, enhancing the safety and efficiency of air traffic control.
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Multi Disciplinary Support for a Cambridge Start-Up
Providing multidisciplinary support to Monumo, enabling the development of next-generation electric motor designs and assisting in raising over £10 million in seed capital.
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