Technological Singularity

Hypothetically, technological singularity is considered as irreversible changes to the mankind resulted from technological growth due to the invention of artificial super intelligence (AI). The major concern is that AI will come out of the control and, finally, humanity will be deprived of their position in the world

Artificial Intelligence A Byproduct of Natural Intelligence and Their Salient Features

This paper mainly focuses on the creation of Artificial Intelligence (AI) using natural intelligence but the question to be considered whether the natural intelligence can be created using artificial intelligence or not. The Artificial intelligence is the outcome of functionality and capabilities of human brain called neural Network. In this paper, it is presumed that the artificial intelligence is a byproduct of natural intelligence and then we discuss some relationship between both of these, especially the working of natural intelligence. Some other important questions are raised to understand a deep linkage between natural and artificial intelligence. There exists lot of non-material phenomenon created by dint of natural intelligence (not created by human) causing to produce systems run by artificial intelligence theorems and algorithms working at backend. The software based on Knowledge Based Systems (KBS) derives its power from human wisdom and natural intelligence. There are several limitations on artificial intelligence. In creation of natural intelligence there is a great role of spirituality.Humans are creator of artificial intelligence with limited abilities. Actually AI started with invention of machines. The applications of creation of natural  intelligence are vastly and abundantly known to humans of 21st Century, which are incorporated in the areas of Space Science, Anatomy, and motion ofPlants, spin of electron, Electronics, plant intelligence and Neural Science etc. The working of machines depending upon the artificial intelligence doesn't provide creativity or self-motivated innovations, within the meaning of natural intelligence

A Measure of All Minds: A Classification of the Artificial Intelligence Strengths and Virtues & the Creation of the THETIS Dimensions of Cybernetic Wellbeing

Artificial intelligence has generated more ambivalence than any technology in human history. As Silicon Valley enters the third decade of its self-proclaimed era of artificial intelligence, there is still surprisingly little agreement about the nature of the 21st century’s defining invention, and even less about how our relationship with this seminal technology should be managed in the future. Positive psychology offers software engineers methods to cultivate a greater understanding of the unique strengths of the artificial intelligence programs they develop, as well as the effects to wellbeing triggered by the applications they deploy. In this paper, I will propose three tools inspired by my chosen field of study for use by artificial intelligence innovators: (a) a classification of the artificial intelligence strengths and virtues; (b) the THETIS dimensions of cybernetic wellbeing, and; (c) the definition of a positive existential posthuman philosophy of artificial intelligence design. The philosophy of positive psychology is perhaps most succinctly summarized with a single phrase: “other people matter.” If Silicon Valley is to deliver a clearer and more compelling vision of the future of artificial intelligence—one in which human and machine agents work and thrive in collaborative harmony—then it must update its innovation practices to embrace a similarly transformative point of view: “other consciousnesses matter,” too

Evidences of World`s Technical Revolution 4.0

Over last three centuries industry as it is now has dramatically changed and developed from global urbanization and steam machines to invention of PC with variety of digital devices and spreading of the Internet. The Fourth Industrial Revolution marked by emerging technology breakthroughs in a number of fields, including robotics, artificial intelligence, nanotechnology, biotechnology, the Internet of Things (IoT), 3D printing and autonomous vehicles. The Fourth Industrial Revolution was declared in Davos on “World Economic Forum” in 2016. This statement was built on the Digital Revolution, representing new ways in which technology becomes embedded within societies and even the human body

Quantum computing

Computers built on the principles of quantum physics promise a revolution on the order of the invention of the microprocessor or the splitting of the atom. The vast increase in power could revolutionize fields as disparate as medicine, space exploration, and artificial intelligence

Introduction to TIPS: a theory for creative design

A highly intriguing problem in combining artificial intelligence and engineering design is automation of the creative and innovative phases of the design process. This paper gives a brief introduction to the theory of inventive problem solving (TIPS) selected as a theoretical basis of the authors' research efforts in this field. The research is conducted in the Stevin Project of the Knowledge-Based System Group of the University of Twente (Enschede, The Netherlands) in cooperation with the Invention Machine Laboratory (Minsk, Belarus). This collaboration aims at developing a formal basis for the creation of an automated reasoning system to support creative engineering design

Quantum computing

Computers built on the principles of quantum physics promise a revolution on the order of the invention of the microprocessor or the splitting of the atom. The vast increase in power could revolutionize fields as disparate as medicine, space exploration, and artificial intelligence

The Library of Babel for Prior Art: Using Artificial Intelligence to Mass Produce Prior Art in Patent Law

Artificial intelligence is playing an increasingly important role in the invention and innovation processes of our society. To date, though, much of the academic discussion on the interaction of artificial intelligence and the patent system focuses on the patentability of inventions produced by artificial intelligence. Little attention has been paid to organizations that are seeking to use artificial intelligence to defeat the patentability of otherwise patent-worthy inventions by mass producing prior art. This Note seeks to highlight the consequences of allowing mass-produced, AI-generated prior art to render valuable inventions unpatentable. Specifically, this Note concludes that AI-generated prior art decreases the incentive for researchers to disclose valuable knowledge through the patent system without providing an adequate substitute source of such knowledge. This Note also examines a number of patent law doctrines that should, but likely will not, prevent deficient AI-generated prior art from rendering valuable inventions unpatentable. To resolve these issues, this Note proposes a solution that modifies the current novelty inquiry and breathes new life into the patent law doctrine of conception. This solution advances the patent system’s purpose of promoting technological advancement while still allowing artificial intelligence to play a large role in that technological advancement

Artificial Intelligence Policy: A Primer and Roadmap

Talk of artificial intelligence is everywhere. People marvel at the capacity of machines to translate any language and master any game. Others condemn the use of secret algorithms to sentence criminal defendants or recoil at the prospect of machines gunning for blue, pink, and white-collar jobs. Some worry aloud that artificial intelligence will be humankind’s “final invention.” This essay, prepared in connection with UC Davis Law Review\u27s 50th anniversary symposium, explains why AI is suddenly on everyone\u27s mind and provides a roadmap to the major policy questions AI raises. The essay is designed to help policymakers, investors, technologists, scholars, and students understand the contemporary policy environment around AI at least well enough to initiate their own exploration