scholarly journals Neural networks and artificial intelligence as trends for the development of the future

2020 ◽  
Vol 1582 ◽  
pp. 012005
Author(s):  
B R Avetisyan ◽  
N S Druzhinina ◽  
I M Daudov
2021 ◽  
Vol 13 (1-1) ◽  
pp. 151-165
Author(s):  
Maria Ivanchenko ◽  
◽  
Pavel Arkhipov ◽  

The article consists of an introduction, a main part with three sections and a conclusion. The purpose of the study is to disclose the content of the concepts of “A Man Playing”, “A Machine Playing”, “Posthumanism” and “Essentiocognitivism”; review current advances in artificial intelligence and neural networks. The article focuses on the philosophy of posthumanism in the context of its application in machine learning, as well as a new philosophical concept called “essentiocognitivism” in its relation to artificial intelligence. The object of the study is the philosophical concept of essentiosocognitivism. The subject of the article is the consideration of certain aspects of this concept related to artificial intelligence as a “playing machine” and the positioning of a human being in the world of posthumanism. In the course of the work, critical methodology was used, on the basis of which the strengths and weaknesses of artificial neural networks were highlighted, the current state of the most famous playing neural networks, such as OpenAI and Alpha series from DeepMind, was analyzed, and the upcoming development of AI is considered in the context of a technological singularity. A philosophical comprehension has been made of certain aspects of essentiocognitivism, which play an important role in the history of the development of posthumanism. It is noted that the future of neural networks is largely determined by the gaming industry and moves towards the creation of a strong artificial intelligence, like the Playing Machine. Scientific novelty consists in examining a fundamentally new concept in the history of philosophy and substantiating the place and role of AI in the evolution of intelligent man. In the course of work, it was revealed that AI and, in particular, promising neural networks allow us to predict the probable future of mankind. As a basic thesis, we use the position derived from biological sciences that the evolution of the species Homo sapiens is not over, and will continue in a technological manner. As a result of the study, a working concept of essentiocognitivism was introduced, and the conclusion was made that trans- and posthumanism can solve many global problems of mankind. It is emphasized that the future lies in the creation of a strong AI.


2018 ◽  
Vol 26 (2) ◽  
pp. 85-88 ◽  
Author(s):  
Martin M Hanczyc ◽  
Barbara Imhof ◽  
Andrew Adamatzky

Imagine evolving swarms of robots interacting and by doing so reshaping and cultivating our habitat. This habitat could be here on Earth, on a distant planet or moon, or within a self-contained spacecraft. What would these robots look like and made of what type of material? What kind of information, hardware or software? What are the architectural necessities? There are many open questions when trying to envision the future of architecture; but, in this particular workshop, the goal was not only to imagine the future but also to create it. With this particular goal in mind, the Living Architecture workshop at European Conference on Artificial Life (ECAL) 2017 brought together practitioners from the sciences and architecture to share ideas and technologies to examine possible paths forward. Living Architecture is a specific substantiation of the broader notion of Living Technology where living systems or artificial systems with life-like properties are developed towards technological applications. In Living Architecture, objects designed in the built environment would contain living systems as part of their functionality (such as bioreactors for energy) or artificial distributed systems with feedback loops (such as neural networks or artificial intelligence). In this way, Living Architecture represents a congruence in functionality and form between living systems, technology and architecture.


2017 ◽  
Vol 40 ◽  
Author(s):  
Leyla Roskan Çağlar ◽  
Stephen José Hanson

AbstractThe claims that learning systems must build causal models and provide explanations of their inferences are not new, and advocate a cognitive functionalism for artificial intelligence. This view conflates the relationships between implicit and explicit knowledge representation. We present recent evidence that neural networks do engage in model building, which is implicit, and cannot be dissociated from the learning process.


Author(s):  
A.B. Movsisyan ◽  
◽  
A.V. Kuroyedov ◽  
G.A. Ostapenko ◽  
S.V. Podvigin ◽  
...  

Актуальность. Определяется увеличением заболеваемости глаукомой во всем мире как одной из основных причин снижения зрения и поздней постановкой диагноза при имеющихся выраженных изменений со стороны органа зрения. Цель. Повысить эффективность диагностики глаукомы на основании оценки диска зрительного нерва и перипапиллярной сетчатки нейросетью и искусственным интеллектом. Материал и методы. Для обучения нейронной сети были выделены четыре диагноза: первый – «норма», второй – начальная глаукома, третий – развитая стадия глаукомы, четвертый – глаукома далеко зашедшей стадии. Классификация производилась на основе снимков глазного дна: область диска зрительного нерва и перипапиллярной сетчатки. В результате классификации входные данные разбивались на два класса «норма» и «глаукома». Для целей обучения и оценки качества обучения, множество данных было разбито на два подмножества: тренировочное и тестовое. В тренировочное подмножество были включены 8193 снимка с глаукомными изменениями диска зрительного нерва и «норма» (пациенты без глаукомы). Стадии заболевания были верифицированы согласно действующей классификации первичной открытоугольной глаукомы 3 (тремя) экспертами со стажем работы от 5 до 25 лет. В тестовое подмножество были включены 407 снимков, из них 199 – «норма», 208 – с начальной, развитой и далекозашедшей стадиями глаукомы. Для решения задачи классификации на «норма»/«глаукома» была выбрана архитектура нейронной сети, состоящая из пяти сверточных слоев. Результаты. Чувствительность тестирования дисков зрительных нервов с помощью нейронной сети составила 0,91, специфичность – 0,93. Анализ полученных результатов работы показал эффективность разработанной нейронной сети и ее преимущество перед имеющимися методами диагностики глаукомы. Выводы. Использование нейросетей и искусственного интеллекта является современным, эффективным и перспективным методом диагностики глаукомы.


Screen Bodies ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 46-62
Author(s):  
Yunying Huang

Dominant design narratives about “the future” contain many contemporary manifestations of “orientalism” and Anti-Chineseness. In US discourse, Chinese people are often characterized as a single communist mass and the primary market for which this future is designed. By investigating the construction of modern Chinese pop culture in Chinese internet and artificial intelligence, and discussing different cultural expressions across urban, rural, and queer Chinese settings, I challenge external Eurocentric and orientalist perceptions of techno-culture in China, positing instead a view of Sinofuturism centered within contemporary Chinese contexts.


Sign in / Sign up

Export Citation Format

Share Document