MAKEMESEE –UMA SOLUÇÃO PARA O AUXÍLIO DE DEFICIENTES VISUAIS

Solutions involving artificial intelligence has become increasingly common in the last years because the increase of computer power and emergence of new technologies. These works include many humansneeds, like autonomous cars, segmentation of medical images or financial market predictions. Since accessibility is a very important area and the techniques like artificial intelligence and computer vision can make solutions to help disabled people, this paper is showing an aid that can detect, calculate and narrate obstacles to help visual impairment people. With a hardware compound by two webcams, responsible by to get different images from a scene, and a software that can processing the images, classifying, and detecting the obstacles, the system can informthe user what are ahead.

MACHINE LEARNING: AN OVERVIEW

Given the tremendous availability of data and computer power, there is a resurgence of interest in using data driven machine learning methods to solve issues where traditional engineering solutions are hampered by modeling or algorithmic flaws. The purpose of this article is to provide a comprehensive review of machine learning, including its history, types, applications, limitations and future prospects. In addition to this, the article also discusses the main point of difference between the field of artificial intelligence and machine learning.

First-Principle and Atomistic Modelling in Materials Science

In the last two decades, the importance of Computational Materials Science has continuously increased due to the steadily growing availability of computer power [...]

Directions for the protection of society and the individual in the fight against cybercrime

The relevance of the research topic is that with the development of computer power in the digital age, the potential of mankind grows, the capabilities of machines expand, new and influential platforms appear, which involve criminals from the criminal cyber underground trying to use tomorrow's technologies. , so the impending hurricane of impending technological danger can no longer be ignored. The purpose of the article is to conceptualize the protection of society and the individual in the fight against cybercrime, to develop ways and measures to ensure society against the crimes of the future and the legal regulation of global cybersecurity.

The history of academic research in marketing and its implications for the future

Purpose The purpose of this study is to determine what the history of research in marketing implies for the reaction of the field to recent developments in technology due to the internet and associated developments. Design/methodology/approach This paper examines the introduction of new research topics over 10-year intervals from 1960 to the present. These provide the basic body of knowledge that drives the field at the present time. Findings While researchers have always borrowed techniques, they have refined them to make them applicable to marketing problems. Moreover, the field has always responded to new developments in technology, such as more powerful computers, scanners and scanner data, and the internet with a flurry of research that applies the technologies. Research limitations/implications Marketing will adapt to changes brought on by the internet, increased computer power and big data. While the field faces competition for other disciplines, its established body of knowledge about solving marketing problems gives it a unique advantage. Originality/value This paper traces the history of academic marketing from 1960 to the present to show how major changes in the field responded to changes in computer power and technology. It also derives implications for the future from this analysis.

The Influence of the Device on User Performance in Handheld Augmented Reality

Augmented Reality applications, which were known to require sophisticated hardware, can now be run on handheld devices. Although such devices provide the required computer power, the size or weight of some of them may become a barrier to user performance, mainly when the interaction is by the touch on the screen. Inserted in this context, this research consists of applying a set of subjective experiments in which volunteers use an application that runs on devices with different sizes and weights. These experiments aim to measure how much the type of handheld device influences the performance of the user in Augmented Reality applications. The main contributions of this study are (i) we concluded by subjective experiments that users with previous knowledge of how to interact with a similar AR application or a game are able to improve their performance when the device is larger and (ii) we demonstrated the age of the participant was also a good indicator of the user performance in AR applications.