ARTIFICIAL INTELLIGENCE RECRUITMENT PROJECT — CONNECTED VEHICLES (Q4242496): Difference between revisions

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(‎Changed label, description and/or aliases in en: Setting new description)
(‎Changed label, description and/or aliases in en, and other parts: Adding English translations)
label / enlabel / en
 
ARTIFICIAL INTELLIGENCE RECRUITMENT PROJECT — CONNECTED VEHICLES
Property / summary
 
THROUGH THE PROJECT WE WANT TO EXPERIMENT WITH A MODEL OF ARTIFICIAL INTELLIGENCE THAT, TAKING ADVANTAGE OF THE LARGE AMOUNT OF DATA COMING FROM THE CONNECTED CARS AT THE DISPOSAL OF TELEMATICS PLATE, ALLOWS TO: 1) DETECTING FUEL FRAUD: E.G. SHORTENING OR TAPPING CARBURANTEÂ2) DETECTING FRAUD RELATED TO TYRE CHANGE: ES REPLACEMENT OF TYRES STILL USABLEÂ3) DETECT FRAUD RELATED TO THE RESIDUAL VALUE OF THE VEHICLE (THE VALUE OF THE VEHICLE AT THE TIME OF RESALE): E.G. SCHILOMETRAGGIO, MAINTENANCE NOT CARRIED OUT CORRECTLY. THE PROJECT WILL BE CHARACTERISED BY THE INCLUSION IN THE TECHNICAL TEAM OF NEW SKILLS USEFUL TO ALLOW RESEARCH, INSIGHTS AND DEVELOPMENTS OF CONTROL SYSTEMS THAT EXPLOIT THE — ARTIFICIAL INTELLIGENCE THAT IS THE POSSIBILITY TO “LEARN” TO COMPUTER TECHNOLOGIES THROUGH THE DATA PROVIDED BY CONTROLLED MEANS (MACHINES AND DEEP LEARNING) GUARANTEEING TO THE CUSTOMER THE POSSIBILITY TO PREVENT FRAUD WITH EFFET (English)
Property / summary: THROUGH THE PROJECT WE WANT TO EXPERIMENT WITH A MODEL OF ARTIFICIAL INTELLIGENCE THAT, TAKING ADVANTAGE OF THE LARGE AMOUNT OF DATA COMING FROM THE CONNECTED CARS AT THE DISPOSAL OF TELEMATICS PLATE, ALLOWS TO: 1) DETECTING FUEL FRAUD: E.G. SHORTENING OR TAPPING CARBURANTEÂ2) DETECTING FRAUD RELATED TO TYRE CHANGE: ES REPLACEMENT OF TYRES STILL USABLEÂ3) DETECT FRAUD RELATED TO THE RESIDUAL VALUE OF THE VEHICLE (THE VALUE OF THE VEHICLE AT THE TIME OF RESALE): E.G. SCHILOMETRAGGIO, MAINTENANCE NOT CARRIED OUT CORRECTLY. THE PROJECT WILL BE CHARACTERISED BY THE INCLUSION IN THE TECHNICAL TEAM OF NEW SKILLS USEFUL TO ALLOW RESEARCH, INSIGHTS AND DEVELOPMENTS OF CONTROL SYSTEMS THAT EXPLOIT THE — ARTIFICIAL INTELLIGENCE THAT IS THE POSSIBILITY TO “LEARN” TO COMPUTER TECHNOLOGIES THROUGH THE DATA PROVIDED BY CONTROLLED MEANS (MACHINES AND DEEP LEARNING) GUARANTEEING TO THE CUSTOMER THE POSSIBILITY TO PREVENT FRAUD WITH EFFET (English) / rank
 
Normal rank
Property / summary: THROUGH THE PROJECT WE WANT TO EXPERIMENT WITH A MODEL OF ARTIFICIAL INTELLIGENCE THAT, TAKING ADVANTAGE OF THE LARGE AMOUNT OF DATA COMING FROM THE CONNECTED CARS AT THE DISPOSAL OF TELEMATICS PLATE, ALLOWS TO: 1) DETECTING FUEL FRAUD: E.G. SHORTENING OR TAPPING CARBURANTEÂ2) DETECTING FRAUD RELATED TO TYRE CHANGE: ES REPLACEMENT OF TYRES STILL USABLEÂ3) DETECT FRAUD RELATED TO THE RESIDUAL VALUE OF THE VEHICLE (THE VALUE OF THE VEHICLE AT THE TIME OF RESALE): E.G. SCHILOMETRAGGIO, MAINTENANCE NOT CARRIED OUT CORRECTLY. THE PROJECT WILL BE CHARACTERISED BY THE INCLUSION IN THE TECHNICAL TEAM OF NEW SKILLS USEFUL TO ALLOW RESEARCH, INSIGHTS AND DEVELOPMENTS OF CONTROL SYSTEMS THAT EXPLOIT THE — ARTIFICIAL INTELLIGENCE THAT IS THE POSSIBILITY TO “LEARN” TO COMPUTER TECHNOLOGIES THROUGH THE DATA PROVIDED BY CONTROLLED MEANS (MACHINES AND DEEP LEARNING) GUARANTEEING TO THE CUSTOMER THE POSSIBILITY TO PREVENT FRAUD WITH EFFET (English) / qualifier
 
point in time: 2 February 2022
Timestamp+2022-02-02T00:00:00Z
Timezone+00:00
CalendarGregorian
Precision1 day
Before0
After0

Revision as of 06:34, 2 February 2022

Project Q4242496 in Italy
Language Label Description Also known as
English
ARTIFICIAL INTELLIGENCE RECRUITMENT PROJECT — CONNECTED VEHICLES
Project Q4242496 in Italy

    Statements

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    74,912.5 Euro
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    149,825.0 Euro
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    50.0 percent
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    TARGA TELEMATICS SPA
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    ATTRAVERSO IL PROGETTO SI VUOLE SPERIMENTARE UN MODELLO DI INTELLIGENZA ARTIFICIALE CHE, SFRUTTANDO LA GRANDE MOLE DI DATI PROVENIENTI DALLE AUTO CONNESSE A DISPOSIZIONE DI TARGA TELEMATICS, CONSENTA DI: 1) INDIVIDUARE FRODI DI CARBURANTE: ES AMMANCO O SPILLATURA CARBURANTE¿ 2) INDIVIDUARE FRODI RELATIVE AL CAMBIO PNEUMATICI: ES SOSTITUZIONE DEI PNEUMATICI ANCORA UTILIZZABILI¿ 3) INDIVIDUARE FRODI RELATIVE AL VALORE RESIDUO DEL VEICOLO (IL VALORE DEL VEICOLO AL MOMENTO DELLA RIVENDITA): ES. SCHILOMETRAGGIO, MANUTENZIONI NON EFFETTUATE CORRETTAMENTE. IL PROGETTO SARA' CARATTERIZZATO DALL - INSERIMENTO NEL TEAM TECNICO DI NUOVE PROFESSIONALITA' UTILI A PERMETTERE RICERCHE, APPROFONDIMENTI E SVILUPPI DI SISTEMI DI CONTROLLO CHE SFRUTTINO L - INTELLIGENZA ARTIFICIALE CIOE' LA POSSIBILITA' DI "FAR APPRENDERE" ALLE TECNOLOGIE INFORMATICHE TRAMITE I DATI FORNITI DAI MEZZI CONTROLLATI (MACHINE E DEEP LEARNING) GARANTENDO AL CLIENTE LA POSSIBILITA' DI PREVENIRE FRODI CON EFFET (Italian)
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    THROUGH THE PROJECT WE WANT TO EXPERIMENT WITH A MODEL OF ARTIFICIAL INTELLIGENCE THAT, TAKING ADVANTAGE OF THE LARGE AMOUNT OF DATA COMING FROM THE CONNECTED CARS AT THE DISPOSAL OF TELEMATICS PLATE, ALLOWS TO: 1) DETECTING FUEL FRAUD: E.G. SHORTENING OR TAPPING CARBURANTEÂ2) DETECTING FRAUD RELATED TO TYRE CHANGE: ES REPLACEMENT OF TYRES STILL USABLEÂ3) DETECT FRAUD RELATED TO THE RESIDUAL VALUE OF THE VEHICLE (THE VALUE OF THE VEHICLE AT THE TIME OF RESALE): E.G. SCHILOMETRAGGIO, MAINTENANCE NOT CARRIED OUT CORRECTLY. THE PROJECT WILL BE CHARACTERISED BY THE INCLUSION IN THE TECHNICAL TEAM OF NEW SKILLS USEFUL TO ALLOW RESEARCH, INSIGHTS AND DEVELOPMENTS OF CONTROL SYSTEMS THAT EXPLOIT THE — ARTIFICIAL INTELLIGENCE THAT IS THE POSSIBILITY TO “LEARN” TO COMPUTER TECHNOLOGIES THROUGH THE DATA PROVIDED BY CONTROLLED MEANS (MACHINES AND DEEP LEARNING) GUARANTEEING TO THE CUSTOMER THE POSSIBILITY TO PREVENT FRAUD WITH EFFET (English)
    2 February 2022
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    TREVISO
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    Identifiers