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BRAIN: Brain and AI

As years pass, the importance of Artificial Intelligence grows at a fast pace. The evolution of this concept is being presented to the readers in Ángel Garrido’s upcoming paper, titled Brain and AI. Starting with the historical origins of this scientific field at the Darmouth Conference in 1956, the famous Turing test, the Strong vs. Weak AI discussion, the Chinese Room argument etc., and proceeding with projects such as Blue Brain Project, the central purpose of AI has always been to create an admissible model for human knowledge.

The Blue Brain Project is being briefly described by Garrido as an initiative to build an artificial copy of the mammalian brain by using an IBM supercomputer with ten thousand processors. Just like in aeronautics, the tool will be able to understand what happens in the brain during dysfunctional situations, and may try different behaviors.

Blue Brain Project
Blue Brain Project

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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 “A speech to text transcription approach based on Romanian corpus” a simple and efficient method for speech to text recognition, based on a machine learning approach, using a Romanian speech corpus.

Main components of a speech recognition system
Main components of a speech recognition system

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BRAIN: Integrating MOOCs in Embedded Systems Blended Courses

The Massive Open Online Course (MOOC) phenomenon has been growing in popularity and importance in the last decade, receiving valuable recognition from renowned universities from all over the world. MOOC can be simply defined as an online course aimed at unlimited participation and open access via the web. In the latest issue of the BRAIN Journal, Răzvan Bogdan’s paper approaches a modality of integrating MOOCs into embedded systems higher education.

The academic field of Embedded Systems aims to enhance student’s understanding through various methods, however students find the concepts as being very monotonous and tend to avoid building practical solutions. In this paper, the author presents the introduction of MOOCs with no synchronization into the Embedded Systems courses at “Politehnica” University of Timișoara, Romania.

Embedded Systems course space for distance learning
Embedded Systems course space for distance learning

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BRAIN: An Intelligent Method to Process Romanian Language Internet Reviews

Internet reviews can be seen as an efficient communication form, adapted to the digital world of today. However, researchers are, for the most part, oriented towards English based ones. The Romanian language reviews exhibit specific grammar rules and challenges that need customized methods to be dealt with. In their paper, Versavia-Maria Ancusa, Olimpia Ban, and Marian Cornea offer a method for aggregating heterogeneous Romanian language reviews into a homogenous corpus, fit for further analyse.

Basically, their aim is to buil a eWOM data cleaning algorithm and apply it on the Romanian language. The algorithm will be based on a three-phase process. The first stage consists in data collection, it continues with the basic processing, and focuses, in the last stage, on analyzing.

The eWOM aggregation, processing and analysis
The eWOM aggregation, processing and analysis

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BRAIN: Validation of Enhanced Emotion Enabled Cognitive Agent Using Virtual Overlay Multi-Agent System Approach

In order to avoid car accidents and ensure safer roads, Autonomous vehicles (AVs) have been created. These vehicles are capable of sensing its environment and navigating without human input, which is indeed a great step towards more secure experiences for drivers. As a method of improvement for the AVs, agent-based collision avoidance components that represent human cognition and emotions have been designed. However, agent-based solutions have not been validated using any key validation technique.

Considering this lack of validation practices, the authors F. Riaz and M. A. Niazi present in their upcoming paper state-of-the-art Emotion Enabled Cognitive Agent (EEC_Agent), which was proposed to avoid lateral collisions between semi-AVs. It is stated in the paper that the main drawback of EEC_Agent is that it is claiming utilization of emotions in making collision avoidance decisions, but no proper emotion generation mechanism has been proposed, which helps the cognitive agent to feel emotion according to the changing in the dynamic environment. In order to overcome this problem, they have redesigned the architecture of EEC_Agent using EABM (Exploratory Agent Based Modeling) and explored the role of OCC (Ortony, Clore & Collins) model in the fear generation of EEC_Agent.

Emotion Enabled Cognitive Agent Architecture
Emotion Enabled Cognitive Agent Architecture

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BRAIN: Pseudo-holographic Displays as Teaching Tools in Mathematics

A pseudo-holographic display is a display that creates a virtual three-dimensional image of an object, producing viewing experiences that are virtually indistinguishable from viewing a true hologram.

In the upcoming issue of BRAIN Journal the researchers Monica Ciobanu, Antoanela Naaji, Ioan Dascal, and Ioan Virag will present in their paper “Pseudo-holographic Displays as Teaching Tools in Mathematics” an innovative approach for the education system. This team of researchers came up with the idea of creating and implementing a set of interactive teaching tool packages (ITTPs) to help students grasp abstract mathematical notions by linking them to a specific physical representation.

holographic-display

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BRAIN: Social Media as Medical Validator

The electronic word of mouth (eWOM) is a communication form adapted to the digitalized world of today where persons that never met communicate in an impersonal manner. The paper Social Media as Medical Validator written by Laura Broasca, Versavia-Maria Ancusa and Horia Ciocarlie aims to explore the receptiveness towards a negative bias in health-related electronic Word of Mouth.

The researchers point out that when evaluating the credibility of the eWOM we should take into account that social factors play an unexpected role, as most people use personal details and peripheral cues, not a clear, logical, fact-based judgement to reach a conclusion. And yet, the credibility of the traditional information sources is surpassed by that of eWOM.

Google trends comparison between vaccine-related search words
Google trends comparison between vaccine-related search words

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BRAIN: Artificial Intelligence as a Decision-making Tool in Planning the Research

Because of their ability to reproduce the biological neural networks, ANNs (Artificial neural networks) have found uncountable applications to a wide range of disciplines. Simina Maris, Titus Slavici, Petre Nenu and Liliana Baciu will present in the latest volume of BRAIN journal an article about the usage of artificial intelligence, especially artificial neural networks (ANNs), in the development of an efficient research plan for studying the quality of finite products, in particular wood briquettes obtained from various biomass mixtures.

Their work is a response to the needs expressed by a private company (SC Andrei Slavici SRL) searching for innovation in the production of wood pellets and briquettes on the market of nonconventional bio-fuels.

Example of multilayer neural network (source: Samarasinghe, 2016)
Example of multilayer neural network (source: Samarasinghe, 2016)

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