scholarly journals Qué hacer con un modelo arqueológico virtual. Aplicaciones de la inteligencia artificial en visualización científica.

2011 ◽  
Vol 2 (4) ◽  
pp. 53 ◽  
Author(s):  
Juan A. Barceló ◽  
Oriol Vicente

<p>For years, artists have collaborated with archaeologists in order to “reconstruct” all those ancient things not preserved in the archaeological record, and they have provided archaeologists with artistic depictions of the past. Regrettably, modern “computer visualizations” do not modify this attitude. There are thousands of “computer reconstructions” of ancient monuments and prehistoric objects available today, but most of them are absolutely useless. Alternatively, we propose a different approach where computer visualization is defined as the automatic logical deduction of visual properties of three-dimensional objects instrumentally acquired. A general framework inspired in modern artificial intelligence is here proponed.</p>

2006 ◽  
Vol 95 (2) ◽  
pp. 709-729 ◽  
Author(s):  
Vassilis Raos ◽  
Maria-Alessandra Umiltá ◽  
Akira Murata ◽  
Leonardo Fogassi ◽  
Vittorio Gallese

We investigated the motor and visual properties of F5 grasping neurons, using a controlled paradigm that allows the study of the neuronal discharge during both observation and grasping of many different three-dimensional objects with and without visual guidance. All neurons displayed a preference for grasping of an object or a set of objects. The same preference was maintained when grasping was performed in the dark without visual feedback. In addition to the motor-related discharge, about half of the neurons also responded to the presentation of an object or a set of objects, even when a grasping movement was not required. Often the object evoking the strongest activity during grasping also evoked optimal activity during its visual presentation. Hierarchical cluster analysis indicated that the selectivity of both the motor and the visual discharge of the F5 neurons is determined not by the object shape but by the grip posture used to grasp the object. Because the same paradigm has been used to study the properties of hand-grasping neurons in the dorsal premotor area F2, and in the anterior intraparietal area (AIP), a comparison of the functional properties of grasping-related neurons in the three cortical areas (F5, F2, AIP) is addressed for the first time.


2019 ◽  
Vol 8 (3) ◽  
pp. 61
Author(s):  
Amira B. Sallow ◽  
Ahmed A. H. Alkurdi ◽  
Zhvan A. Sulaiman

Smartphones have greatly advanced in the past decade. The first smartphone had very low processing power and memory. Nowadays, smartphones have close to desktop class processors and memory. They are also equipped with high resolution displays. This advancement enables creating and running sophisticated and large graphics applications. Such as Augmented and Virtual reality. Augmented Reality (AR) can be described as a view of the real-world environment extended with computer-generated three-dimensional objects. AR enables placing objects that are designed in a computer to the user environment with fine precision. AR can be largely useful in a variety of fields. On that note, AR is making great contribution to the field of education in the present time. Studying and learning different subjects can be a dull experience, especially for primary school children. Children nowadays are growing in the internet and technology era. Thus, education must evolve to the technological standard as well. Using AR to teach children can be exciting, motivating and simulating in a way that is much easier and beneficial than reading textbooks. In this paper, an alphabet book is designed for key stage 1 students. The design is accomplished in Photoshop CC and Maya3D. Afterwards, using Vuforia and Unity3D, the letters are brought to life when a smartphone is pointed at them. A 3D model of the letter is shown along with a 3D example and audio of the example is played.


Author(s):  
Jerome J. Paulin

Within the past decade it has become apparent that HVEM offers the biologist a means to explore the three-dimensional structure of cells and/or organelles. Stereo-imaging of thick sections (e.g. 0.25-10 μm) not only reveals anatomical features of cellular components, but also reduces errors of interpretation associated with overlap of structures seen in thick sections. Concomitant with stereo-imaging techniques conventional serial Sectioning methods developed with thin sections have been adopted to serial thick sections (≥ 0.25 μm). Three-dimensional reconstructions of the chondriome of several species of trypanosomatid flagellates have been made from tracings of mitochondrial profiles on cellulose acetate sheets. The sheets are flooded with acetone, gluing them together, and the model sawed from the composite and redrawn.The extensive mitochondrial reticulum can be seen in consecutive thick sections of (0.25 μm thick) Crithidia fasciculata (Figs. 1-2). Profiles of the mitochondrion are distinguishable from the anterior apex of the cell (small arrow, Fig. 1) to the posterior pole (small arrow, Fig. 2).


Author(s):  
Pauline Stafford

This chapter responds to Chris’s interest in gifts and giving—and to his recent half-turn linguistically. It aims to fill—or to begin to fill—one of the acknowledged gaps in a recent volume with which he was associated, The Languages of Gift, by looking at marriage and the giving and receiving of women. It underlines some of the things which that volume stressed—notably that gifts are multivocal—and can and do change in meaning contextually, but also that the contextual and changing meaning of the gift is rooted in and constrained by structures—which set that general framework of meaning. This chapter is also concerned with those structures and thus, I hope, responds to Chris’s lifelong concern with the bigger models and heuristic devices which are necessary to our understanding of the past. It will be especially concerned with England—in particular late Anglo-Saxon England. But it will draw on wider material in an attempt to understand that—inspired, once again, by Chris’s constant interest in comparative history.


Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.


Algorithms ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 72
Author(s):  
Luca Tonti ◽  
Alessandro Patti

Collision between rigid three-dimensional objects is a very common modelling problem in a wide spectrum of scientific disciplines, including Computer Science and Physics. It spans from realistic animation of polyhedral shapes for computer vision to the description of thermodynamic and dynamic properties in simple and complex fluids. For instance, colloidal particles of especially exotic shapes are commonly modelled as hard-core objects, whose collision test is key to correctly determine their phase and aggregation behaviour. In this work, we propose the Oriented Cuboid Sphere Intersection (OCSI) algorithm to detect collisions between prolate or oblate cuboids and spheres. We investigate OCSI’s performance by bench-marking it against a number of algorithms commonly employed in computer graphics and colloidal science: Quick Rejection First (QRI), Quick Rejection Intertwined (QRF) and a vectorized version of the OBB-sphere collision detection algorithm that explicitly uses SIMD Streaming Extension (SSE) intrinsics, here referred to as SSE-intr. We observed that QRI and QRF significantly depend on the specific cuboid anisotropy and sphere radius, while SSE-intr and OCSI maintain their speed independently of the objects’ geometry. While OCSI and SSE-intr, both based on SIMD parallelization, show excellent and very similar performance, the former provides a more accessible coding and user-friendly implementation as it exploits OpenMP directives for automatic vectorization.


2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.


Author(s):  
Gabrielle Samuel ◽  
Jenn Chubb ◽  
Gemma Derrick

The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, recently, decision makers have required researchers to acknowledge the societal impact of their research, as well as anticipate and respond to ethical dimensions of this societal impact through responsible research and innovation principles. Using artificial intelligence population health research in the United Kingdom and Canada as a case study, we combine a mapping study of journal publications with 18 interviews with researchers to explore how the ethical dimensions associated with this societal impact are incorporated into research agendas. Researchers separated the ethical responsibility of their research with its societal impact. We discuss the implications for both researchers and actors across the Ethics Ecosystem.


2020 ◽  
Vol 53 (03) ◽  
pp. 324-334
Author(s):  
Gautam Biswas

Abstract Reconstruction of the complex anatomy and aesthetics of the midface is often a challenge. A careful understanding of this three-dimensional (3D) structure is necessary. Anticipating the extent of excision and its planning following oncological resections is critical.In the past over two decades, with the advances in microsurgical procedures, contributions toward the reconstruction of this area have generated interest. Planning using digital imaging, 3D printed models, osseointegrated implants, and low-profile plates, has favorably impacted the outcome. However, there are still controversies in the management: to use single composite tissues versus multiple tissues; implants versus autografts; vascularized versus nonvascularized bone; prosthesis versus reconstruction.This article explores the present available options in maxillary reconstruction and outlines the approach in the management garnered from past publications and experiences.


2021 ◽  
pp. 1-8
Author(s):  
Edith Brown Weiss

Today, it is evident that we are part of a planetary trust. Conserving our planet represents a public good, global as well as local. The threats to future generations resulting from human activities make applying the normative framework of a planetary trust even more urgent than in the past decades. Initially, the planetary trust focused primarily on threats to the natural system of our human environment such as pollution and natural resource degradation, and on threats to cultural heritage. Now, we face a higher threat of nuclear war, cyber wars, and threats from gene drivers that can cause inheritable changes to genes, potential threats from other new technologies such as artificial intelligence, and possible pandemics. In this context, it is proposed that in the kaleidoscopic world, we must engage all the actors to cooperate with the shared goal of caring for and maintaining planet Earth in trust for present and future generations.


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