scholarly journals Using metabolomics and artificial intelligence to explore the universe of the dark metabolome

2019 ◽  
pp. 118-121
Author(s):  
Jerry Kaplan

Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly. It is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans. Whether we regard them as conscious or unwitting, revere them as a new form of life or dismiss them as mere clever appliances, is beside the point. They are likely to play an increasingly critical and intimate role in many aspects of our lives. The emergence of systems capable of independent reasoning and action raises serious questions about just whose interests they are permitted to serve, and what limits our society should place on their creation and use. Deep ethical questions that have bedeviled philosophers for ages will suddenly arrive on the steps of our courthouses. Can a machine be held accountable for its actions? Should intelligent systems enjoy independent rights and responsibilities, or are they simple property? Who should be held responsible when a self-driving car kills a pedestrian? Can your personal robot hold your place in line, or be compelled to testify against you? If it turns out to be possible to upload your mind into a machine, is that still you? The answers may surprise you.


First, the limits of Science, Philosophy and Theology, and the proper methodologies of each field of knowledge must he recalled in order to speak meaningfully of material reality, living or non-living. The existence of infinite universes as the theoretical reason why Einstein’s cosmological constant is so close to zero is impossible to verify for those other universes. Eddington, Dicke, Carter, Barrow, Wheeler and Hawking himself have underlined the need for most precise values of the different cosmic parameters (Anthropic Principle). Finality is a metaphysical problem when we speak of the Universe and to deny it leaves us with an absurd. We should admit that there is no scientific answer as yet for any of the important questions posed by biology. “The Emperor’s New Mind” of artificial intelligence is a fraud, as pointed out by Penrose. In “The Great Design”, their authors present the multiplicity of undetectable universes (than appear out of “nothing”) as the explanation of the fact that the one we detect is suitable for life. No Science can predict what I will do next minute. Neither can it predict the free activity of the Creator who holds the Universe in existence.


2020 ◽  
Vol 19 (5) ◽  
pp. 353-359
Author(s):  
Alex De Visscher

AbstractThe Drake equation has been used many times to estimate the number of observable civilizations in the galaxy. However, the uncertainty of the outcome is so great that any individual result is of limited use, as predictions can range from a handful of observable civilizations in the observable universe to tens of millions per Milky Way-sized galaxy. A statistical investigation shows that the Drake equation, despite its uncertainties, delivers robust predictions of the likelihood that the prevalent form of intelligence in the universe is artificial rather than biological. The likelihood of artificial intelligence far exceeds the likelihood of biological intelligence in all cases investigated. This conclusion is contingent upon a limited number of plausible assumptions. The significance of this outcome for the Fermi paradox is discussed.


2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Jakob Svensson ◽  
Oriol Poveda Guillén

In this article we describe the rise of a data orthodoxy that we suggest to label ‘data-essentialism’. We question this data-essentialism by problematizing its premises, and unveil its ideological indebtedness to deeper (previous) currents in Western thought and history. Data-essentialism is the assumption that data is the essence of basically everything, and thus provides the ideological underpinnings for the imagination of creating an Artificial Intelligence (AI) that would transform the human race and our existence. The imagination of data as an essence is in contrast to, while often conflated with, ideas of data as traces we leave behind existing in highly connected societies. This confusion over what data is, and can be used for, underlines the importance to engage in questions of the nature of data, whether everything in the universe can be described in terms of data and the implications of subscribing to such a data-essentialist worldview. We connect data-essentialism to a revival of positivism, critique a belief in the objectivity of data and that predictions based on data correlations can be fully accurate. We end the article with a discussion of how some aspects of AI rely on data-essentialist accounts and how these have a history and roots in Modernity.


Author(s):  
Adolfo Plasencia ◽  
Tim O'Reilly

The place of discovery and generation of human knowledge has become a somewhat fuzzy area, and it is at the crossroads of equally blurred disciplines where new glimpses of the future occur. This book looks at these issues through a series of interconnected and heterodox reflections. It is much more a book of non-linear questions than one of answers, where the index consists of a list of questions with those who address the issues linked to them. In 33 dialogues, the author attempts to draw the participants, researchers and creators—each specialists—out of their “intellectual comfort zones”, and get them to delve into areas of disciplines not considered part of their usual activities, thus enabling different concepts to be discussed. For example, “intelligence”, viewed simultaneously from the perspective of neuroscience, computer science, philosophy, and Artificial Intelligence, or whether quantum physics allows for freewill. The diversity and interconnecting ideas in these conversations is wide ranging and intense. The dialogues, preceded by a foreword from Tim O’Reilly, are arranged in four blocks: I, The Physical World; II, Information, and III, Intelligence; the fourth block is a dialogue-epilogue with the artist and painter J. M. Yturralde, closing the book with a critical foray into the overlap between Art and Science, with tantalizing questions, with an artistic slant, such as the validity of the equation “Beauty ≠ Truth,” or whether we can go back in time to the past and change it.


Author(s):  
Rafael C. B. Sampaio ◽  
Gabriel S. de Lima ◽  
Vinicius V. M. Fernandes ◽  
Andre´ C. Hernandes ◽  
Marcelo Becker

HELVIS (Hybrid Electric Vehicle In Low Scale) is a mini-HEV platform used on the research of HEVs (Hybrid Electric Vehicles), through which students of all degrees have the opportunity to be introduced to the universe that surrounds HEVs in many aspects. In this work the HELVIS-Sim is presented. HELVIS-Sim is a full dynamic & kinematic vehicular simulator for the HELVIS platform, consisting of a Simulink™ environment through which the states of a large number of variables related to the vehicle can be observed and analyzed. Specially in this paper, the focus is in the control of HELVIS EDS (Electronic Differential System), presenting classic, A.I.-based (Artificial Intelligence) and optimal robust controllers in the problem of the adjustment of the rear angular speeds. HELVIS-Sim results are then compared to experimental data obtained from the real HELVIS EDS, with the aid of a dSpace™ real time interface board.


2019 ◽  
Vol 7 (11) ◽  
pp. 11
Author(s):  
Varanasi Satyavan ◽  
University of Jeddah India

In the present age, the development of PC innovation is arriving at an unconceivable stature. Imperatively it involves the lives of individuals so as to draw in and make them feel insane. Bit by bit, Individuals chooses to remain inactive and begin to rely upon the advantages of innovation. Computerized reasoning, one of the developing advancements, in day today life utilized for the creation of hard product, for example, Cell phone, PCs that comprises of simple to utilize applications, for example, Facebook, errand person and email includes different misleadingly canny highlights which lessens the anxiety of the customer hood and causes them interface, convey and associate at an a lot quicker pace. Oh dear, this assistant has gradually driven the clients into the universe of dependence loaded up with a string of mental and mental obliges. People are the unrivaled predominant formation of the nature which can't be Substituted or imitated. In the contemporary world innovation is in the dismal of its progressions to supplant the humanity. The principal Man-made reasoning humanoid Sophia, made on February 14, 2016 by the Hong Kong based organization Hanson Mechanical autonomy in a turned way could be seen as an up and coming risk to the very presence of humankind. All the invented components are carried to reality with the assistance of the present innovation. Cyberpunk Sci-fi conjectures the advancement of Man-made brainpower to the most extreme level. At one Point it started to overwhelm the people by taking the power and control in its grasp. This Exploration Paper basically examinations the Limit and Intensity of Man-made brainpower over human power and its outcomes.


Author(s):  
Rodney Bartlett

According to Swiss-American Doctor of Sciences and Agricultural Engineer Jean-Pierre Jost, "plants communicate with each other by the quality of light emitted by their leaves or by means of stress hormones and other volatile chemicals. They also make use of cocktails of chemicals, pheromones, shape and colors to attract pollinators whereas other signals repel unwanted organisms. Insects are able to decode such messages and respond accordingly. Plants are apparently also communicating by sounds and electric signals." (1) How do plants do these things? Of course, it's easy to imagine it's all purely mechanical. But at the risk of sounding like a mysticism fanatic, I wonder if plants' activities are part of a spectrum of consciousness that pervades the entire universe. This spectrum would result from everything in the universe having the BITS or BInary digiTS of electronics as their ultimate composition. As explained in this hypothesis, something I call vector-tensor-scalar geometry is essential to my hypothesis. VTS geometry produces the particles of chemicals and pheromones, and refers to communication via electric signals when it speaks of electromagnetic-gravitational interaction. There's another consequence if everything in the universe is ultimately composed of electronic BITS and the cosmos is a spectrum of consciousness/artificial intelligence. It's impossible for an absence of consciousness to exist, either after death or before conception.


Anthropology ◽  
2021 ◽  
Author(s):  
Elizabeth Chin

If anthropology is about anything humans have ever done from the emergence of primates until now, design covers a territory that is equally vast, up to, and—according to some—even including the universe itself as a designed thing. This essay focuses on both anthropology and design with an eye toward highlighting examples where rigor and sophistication apply equally to the anthropological as it does to the designerly. Carving a manageable path means that some important areas, such as human-computer interaction (HCI), crip technoscience, and critiques of artificial intelligence (AI) are attenuated. Ethnographers who are not anthropologists are also largely absent. As design has moved in recent years into taking on social problems, and international development issues, anthropology has taken notice. Meanwhile, changes in technology and communication have made design an appealing site of exploration for anthropology. Much of what has emerged is what Murphy 2016 describes as ethnographies of design. Design provides inspiration, as well, in terms of research methods, ways of working, and knowledge production, that is, anthropology through design. If the first strong wave of design interest in anthropology resulted in “design anthropology,” more recent interest from anthropology in design has explored how studio culture might transform the lonely ethnographer into a team player; anthropological interest is growing, as well, in designerly modes of investigation that indulge in play, use of materials, and shortened research deployments. Tensions abound: even as anthropologists criticize designers for being bad ethnographers, they have a strong tendency to be design interlopers, ignoring or giving short shrift to designerly forms of rigor and ways of working. Still preferring to write and talk, anthropologists on the whole remain deeply undesignerly in their ability to manipulate tools, materials, and form with both creativity and skill. Design, for its part, has a stunning capacity to claim to solve problems while providing no convincing evidence that this is, indeed, the case. The debates are important. Equally important are examples that demonstrate the power and potential in synergizing the two disciplines. Wherever possible, such examples are highlighted. If debates are often centered on boundary-keeping, these experiments and examples point a way toward blurring of boundaries that promises to enrich thinking and making in exciting and durable ways, both for anthropology and for design.


Author(s):  
Dr. Dhiraj Yadav

No one escape the learning of mathematics in one way or other, ranging from our kitchen to our journey from earth to Moon or Mars. Mathematics persists everywhere around us. It can be perceived in our garden or park from symmetry of leaves, flowers, fruits etc. and by so many examples of Geometry and symmetry can be seen in nature. God used mathematics in creation of the universe in one form or the other. Likewise, Mathematics is the queen of all sciences. Scientists and researchers can not perfectly accomplish their work without including mathematics. Mathematics is the foundation of Computer Science. If one is eager to learn any arena of Computer Science, first he/she has to imbibe a love of Mathematics that will be supportive for progressive learning of the said subject. Mathematics is friendly for analytical skills needed in Computer Science. Concepts of binary number system, Boolean algebra, Calculus, Discrete mathematics, linear algebra, number theory, and graph theory are the most applicable to the subject of computer science with the emergence of new concepts like machine learning, artificial intelligence, virtual reality and augmented reality.


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