RESEARCH PROJECTS

Safe and Reliable ML for Decision Making through Cryptographic Primitives

Safe and Reliable ML for Decision Making through Cryptographic Primitives

The success of Machine Learning (ML) has led to a surge of automated systems for consequential decision- making: loan approvals, medical diagnoses, and probation decisions can all be made through an ML system nowadays. 

Artificial Intelligence (AI) through Network Systems Neuroscience: Developing AI architectures based on biological principles for guiding experiments in visual cortex

Artificial Intelligence (AI) through Network Systems Neuroscience: Developing AI architectures based on biological principles for guiding experiments in visual cortex

NeuroAILab examines AI from the perspective of network/systems neuroscience, aiming to develop ANN- architectures based on biological principles and then further guide experiments in visual cortex. 

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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