ARTIFICIAL INTELLIGENCE APPLICATIONS



Ref.No: 61512700
Start date: 01.04.2022
End date: 28.02.2025
Approval date: 24.03.2022
Department: ELECTRICAL & COMPUTER ENGINEERING
Sector: COMPUTER SCIENCE
Financier: 3Η ΠΡΟΚΗΡΥΞΗ ΕΛΙΔΕΚ Υ.Δ., ELIDEK
Budget: 31.500,00 €
Public key: 6Ζ8Ζ46ΨΖΣ4-ΤΓΔ
Scientific Responsible: Prof. STAMOU
Email: gstam@cs.ntua.gr
Description: RESEARCHING AND DEVELOPING NEW NEURAL NETWORK ARCHITECTURES TOWARDS VARIOUS APPLICATIONS IS CONSIDERED TO LEAD TO THE IMPROVEMENT OF THE CURRENT PERFORMANCE OF GANS, WHICH ARE OFTEN DEMONSTRATING INSTABILITIES DURING TRAINING. PERFORMANCE IMPROVEMENT IS
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