This project was carried out for the School on Nonlinear Dynamics, Complex Networks, Information Theory and Machine Learning in Neuroscience. In it we explore a computational simulation of a ...

Discover essential machine learning insights for success, from mastering fundamentals to aligning with business goals.

Abstract: In this paper we describe a complex information processing system, which we call the logic theory machine, that is capable of discovering proofs for theorems in symbolic logic. This system, ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have used machine learning and supercomputer ...

From early experiments to the tools of tomorrow, AI technology has come a long way. The journey has just begun.

Abstract: Recently, Optimal Transport has been proposed as a probabilistic framework in Machine Learning for comparing and manipulating probability distributions. This is rooted in its rich history ...

Machine learning and supercomputer simulations have been used to investigate how tiny gold nanoparticles bind to blood ...

Traditional efforts to improve Pedestrian safety often rely on police-reported crash data, which can be limited and ...

Information theory and computation is the study and development of protocols and algorithms for solving problems and analysing information. This discipline usually breaks information down into ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have used machine learning and supercomputer ...

Devising countermeasures for improving pedestrian safety, especially targeted measures for severe and non-severe crashes, is ...