Search results for "artificial"

The Moderating Effect of Store Format on the Relationships Between ICT, Innovation and Sustainability in Retailing

2021

Innovation and sustainability are postulated as key variables for the future of large commercial distribution. In addition, the development of Information and Communication Technologies (ICT) solutions, and especially those related to Artificial Intelligence (i.e., Just Walk Out, Intelligent Retail Lab) and digitization, are particularly relevant factors in the current pandemic scenario in which retail companies operate. These tools are essential to face the derived changes in commercial relations, especially between companies and consumers. For all these reasons, this work aims to examine the effect of ICT, as a driving factor for innovation and its direct and indirect impact on sustainabi…

Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature

2013

This paper summarizes three recent, novel algorithms developed within VAMPIRE, namely optic disc and macula detection, arteryvein classification, and enhancement of binary vessel masks, and their performance assessment. VAMPIRE is an international collaboration growing a suite of software tools to allow efficient quantification of morphological properties of the retinal vasculature in large collections of fundus camera images. VAMPIRE measurements are currently mostly used in biomarker research, i.e., investigating associations between the morphology of the retinal vasculature and a number of clinical and cognitive conditions.

The effectiveness of using LEGO® robotics kits as cognitive and social rehabilitative toys

2020

The present article offers a theoretical contribution to the understanding of the effectiveness of using robotics as cognitive and social rehabilitative toys. Starting from the theoretical foundations of educational robotics in the framework of constructionism, it provides methodological indications related to game activities with robotics behaviour construction kits, such as LEGO® Ev3. Moreover, it discusses empirical studies that evaluated the effectiveness of the use of robotics behaviour construction kits in the field of intellectual disabilities. Practical implications of the present study might be useful for educators, school psychologists, or rehabilitative therapists in the field of…

Rilkean Memories and the Self of a Robot

2019

This paper discusses the concept of Rilkean memories, recently introduced by Mark Rowlands, to analyze the complex intermix of hardware and software related to the self of a robot. The Rilkean memory of an event is related to the trace of that episode left in the body of the individual. It transforms the act of remembering into behavioral and bodily dispositions, thus generating the peculiar behavioral style of the individual, which is at the basis of her autobiographical self. In the case of long-life operating robots, a similar process occurs: the software of the robot has to cope with the changes that happened in the body of the robot because of damaging events in its operational life. T…

INTEGRAZIONE, AUTOADATTAMENTO E COSCIENZA ARTIFICIALE

2008

The contribution of AI to enhance understanding of Cultural Heritage.

2013

The Artificial Intelligence & Cultural Heritage (AI & CH) working group was born in 1999 with the aim at promoting various scientific activities to increase a more active collaboration between the sectors of cultural assets and artificial intelligence. The many events (workshops and schools) organized over the years have shown the validity of this group for exchanging ideas and gathering researchers and practitioners from different fields. New applications of informatics and artificial intelligence have provided the opportunity to produce innovative tools for documenting, managing and communicating cultural heritage. For this anniversary we intend to show how some of the most important meth…

Visual saliency by keypoints distribution analysis

2011

In this paper we introduce a new method for Visual Saliency detection. The goal of our method is to emphasize regions that show rare visual aspects in comparison with those showing frequent ones. We propose a bottom up approach that performs a new technique based on low level image features (texture) analysis. More precisely, we use SIFT Density Maps (SDM), to study the distribution of keypoints into the image with different scales of observation, and its relationship with real fixation points. The hypothesis is that the image regions that show a larger distance from the mode (most frequent value) of the keypoints distribution over all the image are the same that better capture our visual a…

Dynamic assessment of word derivational knowledge: Tracing the development of a learner

2016

The present paper reports on a case study that explored the applicability of dynamic assessment (DA) for promoting learners’ word derivational knowledge in English as a second or a foreign language (L2). One learner’s performance on tasks assessing his word derivational knowledge was measured four times. The first two measurements were conducted before and after three weekly human-mediated DA sessions and the last two, which took place a year and a half later, before and after three weekly computerised DA sessions. Think aloud protocols and interviews were used to trace changes in the learner’s use of strategies and knowledge sources. The results revealed that following the dynamic assessme…

Cognitive Linguistics as the Underlying Framework for Semantic Annotation

2012

In recent years many attempts have been made to design suitable sets of rules aimed at extracting the semantic meaning from plain text, and to achieve annotation, but very few approaches make extensive use of grammars. Current systems are mainly focused on extracting the semantic role of the entities described in the text. This approach has limitations: in such applications the semantic role is conceived merely as the meaning of the involved entities without considering their context. As an example, current semantic annotators often specify a date entity without any annotation regarding the kind of the date itself i.e. a birth date, a book publication date, and so on. Moreover, these system…

Automated Detection of Microaneurysms Using Scale-Adapted Blob Analysis and Semi-Supervised Learning

2014

International audience; Despite several attempts, automated detection of microaneurysm (MA) from digital fundus images still remains to be an open issue. This is due to the subtle nature of MAs against the surrounding tissues. In this paper, the microaneurysm detection problem is modeled as finding interest regions or blobs from an image and an automatic local-scale selection technique is presented. Several scale-adapted region descriptors are then introduced to characterize these blob regions. A semi-supervised based learning approach, which requires few manually annotated learning examples, is also proposed to train a classifier to detect true MAs. The developed system is built using only…