The implementation of artificial intelligence and its future potential

završni rad

• Naslov (hrvatski): Implementacija umjetne inteligencije i njezin budući potencijal
• Autor: Fran Škavić
• Mentor: Mario Spremić (mentor); MBZ: 233591
• Ustanova koja je dodijelila akademski / stručni stupanj: Sveučilište u Zagrebu; Ekonomski fakultet; (Katedra za informatiku); Zagreb
• Datum i država obrane: 2019-09-03, Hrvatska
• Znanstveno / umjetničko područje, polje i grana: DRUŠTVENE ZNANOSTI; Ekonomija; Poslovna informatika

Sažetak

Firstly, in the paper, I explored the history of artificial intelligence (AI) thought spanning from the early conceptual beginnings, then through early examples of primitive AI applications and all the way to recent feats in this field. Next, I analyzed types of AI, both present and future, encompassing two wide schools of thought; after which I detailed the pathways to achieving practical implementation of AI through machine learning (ML) and deep learning (DL) as well as a brief history of TensorFlow. The following chapters focused on analyzing case studies of AI application in the fields of banking and finance from the financial sector, and transportation in general, with the ensuing critical analyses. The final chapter is concerned with future implementation of AI.

• Ključne riječi: artificial intelligence; AI; TensorFlow; artificial neural networks; ANN; artificial narrow intelligence; ANI; artificial general intelligence; AGI; artificial superintelligence; ASI; machine learning; ML; deep learning; DL; chatbot
• Jezik: engleski
• URN:NBN: urn:nbn:hr:148:308959
• Studijski program: Naziv: Poslovna ekonomija na engleskom jeziku; Vrsta studija: sveučilišni; Stupanj studija: preddiplomski; Akademski / stručni naziv: sveučilišni/a prvostupnik/ prvostupnica(baccalaureus/ baccalaurea) ekonomije (univ.bacc.oec.)
• Vrsta resursa: Tekst
• Način izrade datoteke: Izvorno digitalna
• Prava pristupa: Otvoreni pristup
• Datum i vrijeme pohrane: 2019-09-03 10:49:53