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 Edward 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
Seminar: Laurence Aitchison - University of Bristol
Seminar: Andrew G. Wilson - New York University
Seminar: Vincent Adam - Secondmind & Aalto University
Seminar: Matthew E. Taylor - University of Alberta
Seminar: Arthur Guez - Google Deepmind
Seminar: Alexandra Gessner - University of Tuebingen
Seminar: Arno Solin - Aalto University
Trieste: our first open-source toolbox
Seminar: Siddharth Reddy - University of California, Berkeley
Interested in contributing towards the future of decision-making and practical machine learning? Join us.