Tag: machine learning

Artificial intelligence, robot, safety of AI.

Are We Safe Enough in the Future of Artificial Intelligence? A Discussion on Machine Ethics and Artificial Intelligence Safety

Nowadays, there is a serious anxiety on the existence of dangerous intelligent systems and it is not just a science-fiction idea of evil machines like the ones in well-known Terminator movie or any other movies including intelligent robots – machines threatening the existence of humankind. So, there is a great

On Converting Software Systems to Object Oriented Architectures

Object-oriented concepts are useful concerning the reuse of existing software. Therefore a transformation of procedural programs to objectoriented architectures becomes an important process to enhance the reuse of procedural programs. Moreover, it would be useful to assist by automatic methods the software developers in transforming procedural code into an equivalent

Data Conflict Resolution Among Same Entities in Web of Data

With the growing amount of published RDF datasets on similar domains, data conflict between similar entities (same-as) is becoming a common problem for Web of Data applications. In this paper we propose an algorithm to detect conflict of same properties values of similar entities and select the most accurate value.

Designing a Growing Functional Modules “Artificial Brain”

The present paper illustrates the design process for the Growing Functional Modules (GFM) learning based controller. GFM controllers are elaborated interconnecting four kinds of components: Global Goals, Acting Modules, Sensations and Sensing Modules. Global Goals trigger intrinsic motivations, Acting and Sensing Modules develop specific functionalities and Sensations provide the controlled

BRAIN: A speech to text transcription approach based on Romanian corpus

Speech recognition applications enable the recognition and translation of spoken languages into text by computers. Due to the fact that the traditional approaches are costly and time consuming, the worldwide industry adopted speech recognition systems. Andrei Scutelnicu, Anca Diana Bibiri, Mihaela Onofrei, and Mircea Hulea will present in their paper