machine learning

RISING · Realistic and Informative Simulations with machine learnING

2 partners · 2 countries

DataProMat · A Diffusion Maps workflow enabled by Neural Networks and Equation-free calculations for multi scale material and process modelling

PHASEQUANTROL · Phase Transitions of Quantum Control

GreenML5G · Green Machine Learning for 5G and Beyond Resource Optimisation

PregMal · Surveilling Malaria through machine learning and clustering tools in pregnancy

PhenoDim · Phenomics and evolution of sexual dimorphism and female colour polymorphism in damselflies

CRACK-IT · Numerical CRACK simulation and Identification Techniques

BGAR · Beyond the Greater Angkor Region

MAZINGER · Mach-Zehnder and Interference Get Enhanced by Reinforcement Learning

BITMAP · aB-IniTio calculations and MAchine learning for suPerconducting collective phenomena in novel materials

2 partners · 2 countries

VISIONS · Neural Video Processing and Streaming for Real-time Traffic Monitoring

DeepZyme · Learning Deep Representations of Enzymes for Predicting Catalytically-Beneficial Mutations

CRADLE · Collecting Asteroid-Orbiting Samples: enabling a safer, sustainable, and autonomous exploration of asteroids

2 partners · 2 countries

GraphNeT · Graph convolutional neural networks for neutrino telescopes

AIforUTracking · Artificial Intelligence methods for Underwater target Tracking

2 partners · 2 countries

SOCIAL MATCH · The role of social behaviour in mate choice

MFILAMUXIAML · Metal flow in laser additive manufacturing using x-ray imaging and machine learning

RNADOMAIN · Computational genomics of long noncoding RNA domains across metazoans

2 partners · 2 countries

MOVES · MOdelling Vocal Expression in Schizophrenia

PARENT · PremAtuRe nEwborn motor and cogNitive impairmenTs: Early diagnosis

11 partners · 5 countries

METER · Multi-aspect and diffErenTiable Evaluation of Rankings

COMPLEX ML · Machine learning and the physics of complex and disordered systems

2 partners · 2 countries

STEADY · Score-driven TEnsor Autoregressive DYnamical models

CAtS · Deciphering the developmental roots of childhood sarcoma cells – combining single cell sequencing technologies and machine learning