Tightening the gap between machine learning theory and value delivered to the real world.
About Secondmind Labs
Our origins lie in academic research. It's the foundation on which all our products are built. By combining years of expertise in machine learning research with hands-on commercial experience, we are identifying and addressing one by one the parts of the puzzle that are missing to build a decision-making framework from first principles.
The mission of Secondmind Labs consists of providing internal expertise for our Decision Engine, and to explore innovative ideas that can improve our understanding of decision-making. Our main areas of expertise are probabilistic modelling, Bayesian optimisation, optimal control and reinforcement learning.
The team is led by our Chairman, Carl Rasmussen, Professor of Machine Learning at Cambridge University. Under his leadership, our team of researchers and engineers use proven mathematical principles to build scalable tools that solve problems in a range of businesses and a variety of sectors.
Latest from Labs
What is Secondmind Labs?
What is Stochastic Network Control?
Diff-DAC: fully distributed deep reinforcement learning
Bayesian Image Classification with Deep Convolutional Gaussian Processes
Adaptive Sensor Placement for Continuous Spaces
Infinite Horizon Gaussian Processes
Banded Matrix Operators for Gauss-Markov Models
A Random Walk Approach to First-Order Stochastic Convex Optimization
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models
Interested in contributing towards the future of decision-making and practical machine learning? Join us.