AI research is at an exciting stage, where decades of progress are now applied at an enterprise scale. We see Decision AI as the next major leap, going beyond predictions to prescribe real-world actions. Our research uses techniques like multi-agent systems, generative AI, deep learning, evolutionary computation, and trustworthy AI to drive innovation. Our work leads to publications, open-source tools, AI-for-Good projects, and the development of the Neuro® AI platform.
Multi-agent AI leverages LLMs to facilitate communication between autonomous agents, enhancing coordination and optimizing complex problem solving across diverse systems.
Generative AI, in particular Large Language Models (LLMS) make it possible to utilize general world knowledge, orchestrate multiple models and technologies, and interface with Decision AI systems through natural language.
Surrogate Optimization uses models to simulate complex environments, enabling safe and efficient strategy optimization. This approach to solve real-world problems, such as healthcare interventions.
Evolutionary computation is an optimization method that mimics natural selection, helping discover innovative strategies for decision-making in complex environments.
Deep learning is another foundation for AI research with the Evolutionary AI team. The main focus of our recent research is on optimizing deep learning architectures for performance and computational cost, utilizing of multiple datasets through multitask learning, and discovering useful neural network building blocks.
Neuroevolution combines evolutionary principles with deep learning to optimize neural networks. Our recent advancements focus on making AI more adaptive and efficient.
Our research is reported in scientific papers, advancing new technologies that enhance decision-making.
We collaborate with experts from various fields to apply our AI research to real-world problems, allowing us to develop better AI methods while maximizing human potential.
Our research and applications are being recognized in the media, exploring AI’s impact in transforming industries and addressing societal needs.