THE BENEFITS RESULTING FROM THE USE OF ARTIFICIAL INTELLIGENCE
Neil Sahota

THE BENEFITS RESULTING FROM THE USE OF ARTIFICIAL INTELLIGENCE

Fernando Alcoforado*

The purpose of this article is to present the benefits resulting from the use of artificial intelligence for humanity.

1. Introduction

The benefits resulting from the use of artificial intelligence for humanity can be seen by reading the articles written by us, described below:

·?????? Artificial superintelligence, its benefits and evils and what to do to avoid its harmful impacts on society, published on the website <https://www.dhirubhai.net/pulse/artificial-superintelligence-its-benefits-evils-what-do-alcoforado-nrzdf/>.

·?????? The Benefits and Risks of Technological Singularity Based on Artificial Superintelligence, published on the website <https://www.academia.edu/44652377/THE_BENEFITS_AND_RISKS_OF_TECHNOLOGICAL_SINGULARITY_BASED_ON_ARTIFICIAL_SUPERINTELLIGENCE>.

·?????? Artificial intelligence - uses in production systems and impacts on the world of work, published on the website <https://www.academia.edu/44652377/THE_BENEFITS_AND_RISKS_OF_TECHNOLOGICAL_SINGULARITY_BASED_ON_ARTIFICIAL_SUPERINTELLIGENCE>.

·?????? Rumo à indústria do futuro, published on the website <https://www.academia.edu/34710914/RUMO_%C3%80_IND%C3%9ASTRIA_DO_FUTURO>.

·?????? Inteligência artificial e sua utiliza??o na engenharia, published on the website <https://www.dhirubhai.net/pulse/intelig%C3%AAncia-artificial-e-sua-utiliza%C3%A7%C3%A3o-na-fernando-a-g-alcoforado-gwrcf/>.

·?????? Artificial intelligence in the human conquest of space, its other applications and its risks, published on the website <https://www.dhirubhai.net/pulse/artificial-intelligence-human-conquest-space-its-other-alcoforado/>.

·?????? The education with artificial intelligence and the deficiencies of its application in Brazil, published on the website <https://www.dhirubhai.net/pulse/education-artificial-intelligence-deficiencies-its-alcoforado-imqpf/>.?

An analysis of these articles reveals that there are countless benefits that are and will be provided by artificial superintelligence. A neural network in an Artificial Intelligence (AI) system is capable of analyzing more than a billion pieces of data in a few seconds, making it an incredible tool for supporting decision-makers within an organization, thus ensuring the best possible option. Since the data collected is constantly updated, Artificial Intelligence systems also always update their results, enabling managers to have access to recent information on changes occurring in an organization's environment. Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. In data analysis, machine learning is a method used to design complex models and algorithms that lend themselves to prediction. In commercial use, this is known as predictive analytics. These analytical models enable researchers, data scientists, engineers, and analysts to “produce reliable and repeatable decisions and results” and discover “hidden insights” by learning from historical relationships and trends in data. Computers can now perform complex engineering calculations, trade stocks in the order of milliseconds, self-driving cars are increasingly appearing on our streets, and artificially intelligent assistants have invaded our homes. The coming years will bring us even more advances, with Artificial Superintelligence through machines that can learn from their own experiences, adapt to new situations, and understand abstractions and analogies. Human-level machine intelligence is likely to be developed by the middle of the 21st century, which could result in Artificial Superintelligence.?

In recent years, we have seen astonishing advances in areas such as independent learning, forecasting, autonomous navigation, computer vision, and video gameplay. The coming years will bring us even more advances, with Artificial Superintelligence through machines that can learn from their own experiences, adapt to new situations, and understand abstractions and analogies. Machine intelligence comparable to or superior to that of humans has a good chance of being developed by the middle of the 21st century, which could result in Artificial Superintelligence. Artificial Superintelligence will be the first technology to potentially surpass humans in all dimensions. Until now, humans have had a monopoly on decision-making and therefore had control over everything. With Artificial Superintelligence, this could end. 2045 is the predicted year for the technological singularity that marks the end of an era and the beginning of a new human cycle, when man and machine will be integrated and when Artificial Intelligence will far surpass human intelligence. Technology is the star of the digital age, but humans are still the main characters. Machines learn human tasks, and by 2029, artificial and human intelligence are expected to be equal, and by 2045, a single machine is expected to be more intelligent than all of humanity.?

2. Benefits provided by Artificial Intelligence?

The benefits provided by Artificial Intelligence with its use in management, production systems, engineering, energy supply, space industry, scientific and technological development, medicine and education are presented below:?

2.1- Benefits of Artificial Intelligence in management?

The main applications of artificial intelligence in management, at the present time, are the following: 1) Chatbots that use language to talk to people in a natural and pre-programmed way, recognize names and phone numbers and reproduce human behavior; 2) Management applications that are useful for identifying which employees are performing tasks more efficiently and, with this type of tool, assist managers in decision-making; 3) Personal assistants that are used to schedule meetings, schedule times and daily activities, one of the best known being Siri, present in Apple products; 4) Security mechanisms both in digital attacks and in everyday situations, such as events. In the digital area, the most common example is internet banking; 5) Predictions with machines equipped with artificial intelligence that can be used in marketing campaigns, for example, to predict different scenarios and possible results. Based on the data collected, the manager will have more information at his disposal to determine the paths that the company should follow according to the expected result of the strategy; 6) Sales and marketing to provide better quality customer service. Personalized customer service provides practicality and comfort. Machine learning is an application in which the system learns to act on its own without having to be programmed for the new function; 7) Education in which computer technology is used as a “teacher” who is available to students 24 hours a day.?

2.2- Benefits of Artificial Intelligence with its use in production systems?

Artificial intelligence is already being widely used in production systems. Artificial Intelligence can replace humans in production activities and can also maximize productivity. New production systems make it possible to make the work process self-adapting, creating the conditions for joint work, teamwork, and man-machine. Nowadays, to meet personalized orders and deal with fluctuations in the demand of a production system, workers can share the execution of new tasks with robots without having to manually monitor any production process. Changes are processed automatically. Advances are not only occurring in industrial production. Artificial intelligence systems are present in countless sectors of activity. The potential of artificial intelligence to transform broad economic sectors is unprecedented in the history of humanity.?

According to data presented by Accenture in one of its studies, by 2035, Artificial Intelligence will contribute to an increase of up to 40% in productivity in the industrial sector, reducing costs and increasing manufacturing production around the world. The current panorama of Artificial Intelligence systems allows them to understand the entire production and business process and automatically identify the main problems that need to be solved. Modern production systems require workers to work with intelligent machines to explore what both do best. Workers are needed to develop, train and manage various artificial intelligence applications. By acting in this way, workers would be enabling production systems to operate as true partners. In turn, intelligent machines would help workers increase their productive capacity, such as the ability to process and analyze large amounts of data from a myriad of sources in real time. Intelligent machines augment human capabilities. Intelligent machines and workers can become partners that collaborate with each other to increase their performance levels.?

The 4th Industrial Revolution or Industry 4.0 is characterized by the integration of so-called cyber-physical production systems, in which smart sensors tell machines how to process. Processes must be governed in a decentralized modular system. Smart production systems begin to work together, communicating wirelessly, either directly or through a "cloud" on the Internet (Internet of Things or IoT). Rigid centralized factory control systems are now giving way to decentralized intelligence, with machine-to-machine (M2M) communication on the factory floor. This is the vision of Industry 4.0 of the 4th Industrial Revolution. Among the technologies used in Industry 4.0, Artificial Intelligence stands out, which consists of the application of advanced analysis and logic-based techniques, including machine learning, to interpret events, analyze trends and system behavior, support and automate decisions and take action.?

2.3- Benefits of Artificial Intelligence in Engineering?

Artificial Intelligence in Engineering uses data, monitors its patterns, cross-references this information to generate insights and almost completely reduces errors caused by human labor. Therefore, this entire ecosystem naturally facilitates decision-making involving the project, regardless of the phase it is in. This is because the system is the one that does all the analytical work. That is, it filters the database, maps processes, eliminates errors and delivers to the person responsible for the project only what is relevant (with a reliable basis). Thus, the manager has greater ease in making assertive and safe decisions in situations such as: calculations of works and projects, definition of performance indicators, budget analysis, among others. Artificial Intelligence is revolutionizing several areas of engineering, becoming a valuable tool for engineers around the world. This technology can be applied in a wide range of projects, from the design and analysis of structures to the optimization of manufacturing processes.?

In Engineering, the main applications are the following: 1) Routine tasks using a robot capable of reproducing various human tasks on a construction site, such as handling construction materials and assembling structures systematically with millimeter precision and an error rate close to zero; 2) Big Data, which is a technology that can be applied to analyze the status of the work on the most diverse construction sites; 3) 3D printing to assemble precast and prefabricated structures; 4) Smart buildings with Artificial Intelligence, which, in addition to the physical structure project, plans an intelligent infrastructure capable of making users' lives easier; 5) More efficient management using Robot Process Automation (RPA), which is a robot created to manipulate digital systems, cross-reference data and eliminate errors that would occur if a person took on this task; and, 6) Customer service to program customer service robots.?

Artificial Intelligence can be used in Engineering: 1) in Data Analysis and Forecasts; 2) in Design Optimization; 3) in Process Control and Automation; 4) in Simulations and Modeling; and, 5) in Predictive Maintenance.?

Artificial Intelligence is particularly powerful when it comes to data analysis and predictions. Engineers can use Artificial Intelligence (AI) algorithms to analyze large data sets, identify trends, anomalies, and hidden insights. For example:?

? In Civil Engineering, AI can be used to predict the behavior of structures under different weather or load conditions.

? In Manufacturing Engineering, engineers can use AI to predict when machines need maintenance, minimizing unplanned downtime.

? In Electrical Engineering, AI can help analyze energy consumption data, helping to optimize resource use.?

Artificial Intelligence can be a powerful ally in the design optimization process. AI-based optimization algorithms can explore a wide range of variables and constraints to find the best solutions. This is particularly useful in product engineering and industrial design, where efficiency is essential:?

? In Automotive Engineering, AI can be used to optimize vehicle design in terms of aerodynamics, fuel consumption, and safety.

? In Materials Engineering, AI can help identify materials with ideal properties for specific applications.?

AI can also be applied to improve process control and automation in engineering. AI-based control systems can make real-time decisions based on data and feedback, improving efficiency and accuracy in a variety of processes:?

? In Manufacturing Engineering, AI can optimize the control of machines and robots on production lines, reducing errors and increasing efficiency.

? In Traffic Engineering, AI can be used to improve the control of traffic lights and public transportation systems, reducing congestion.?

AI is also valuable for creating complex simulations and models. Engineers can use AI to create detailed predictive models that represent complex, real-life systems. This is useful in a number of areas:?

? In software engineering, AI can be used to simulate the behavior of complex systems before implementation.

? In aerospace engineering, AI can assist in flight simulation and aircraft design.?

Predictive maintenance is another crucial application of AI in engineering. By analyzing real-time data, AI algorithms can predict when equipment or systems are about to fail, allowing intervention before serious problems occur:?

? In energy engineering, AI can monitor wind turbines to identify wear and tear and schedule maintenance.

? In mechanical engineering, AI can predict when machine components need to be replaced.?

2.4- Benefits of Artificial Intelligence in energy supply

In the energy sector, Artificial Intelligence can be used to optimize the distribution and management of the electrical grid, ensuring the efficient and safe supply of energy. Another promising application of AI in Electrical Engineering is in the development of smart grids. These smart grids integrate renewable energy sources, energy storage systems and advanced communication technologies to optimize energy distribution and management. Generative Artificial Intelligence is emerging as an innovative tool in several sectors, and the energy sector is no exception. Generative AI uses deep learning methodologies to generate new data and samples such as digital images and texts from natural language descriptions known as "prompts". With the growing need for intelligent and efficient solutions to deal with global energy challenges, generative AI offers a range of promising applications. From optimizing electrical grids to creating realistic simulations for the development of new energy sources, this technology is revolutionizing the way we produce, distribute and consume energy. Generative AI can be used to create optimized designs for solar farms and wind turbines. By considering variables such as wind patterns, sunlight, and terrain topography, generative algorithms can generate layouts that maximize energy generation. This not only increases efficiency but also helps mitigate environmental impacts. Unlike conventional AI systems, which are designed to answer questions or perform specific tasks based on existing data, generative AI can create new data, images, text, or other materials that did not exist before. It learns from a data set and can generate original, realistic outputs that closely resemble what it has learned. One of the most critical areas for the energy sector is the optimization of electrical grids. Generative AI can be applied to create simulations and models that improve the operational efficiency and reliability of grids.

Generative algorithms can analyze historical consumption data, weather conditions, and other factors to predict future energy demands with high accuracy. This allows companies to adjust energy production and distribution more intelligently, reducing costs and avoiding overloads. Generative AI can analyze a variety of data, including market trends, seasonal patterns, weather conditions and geopolitical events, to predict future energy prices. These predictions are valuable to grid operators, traders and consumers, enabling them to make informed decisions about contracts, investments and consumption. Maintaining energy infrastructure is essential to avoid failures and interruptions in supply. Generative AI can be used in predictive maintenance, where algorithms analyze real-time sensor data to predict when equipment needs repair or replacement. This reduces unplanned downtime, extends the lifespan of assets and improves the overall safety of operations.

Energy companies can use generative AI to simulate a variety of scenarios. When planning large-scale energy storage integration, algorithms can simulate different configurations and capacities to identify the best approach. This saves time and resources, allowing companies to virtually test various options before making real investments. Generative AI is playing an increasingly important role in transforming the energy sector. From optimizing power grids to designing renewable energy systems and forecasting prices, its applications are diverse and promising. However, it is important to address the challenges proactively, ensuring that the implementation of these technologies is ethical, transparent and focused on positive outcomes for society and the environment. When used responsibly, generative AI has the potential to boost energy efficiency and accelerate the transition to a more sustainable energy future.

2.5- Benefits of Artificial Intelligence in the space industry?

Artificial Intelligence (AI) is being widely used by the space industry, with applications described below:?

? Satellite operations: AI is used in particular to assist the operation of large satellite constellations and minimize human error and operating costs with personnel. Space agencies such as NASA in the United States and ESA in Europe have been developing new AI-based automation procedures to reduce the workload of operators. Automating both the ground and space segments will reduce the need for human intervention, especially for large satellite constellations and interplanetary travel, such as automated maneuvering systems to prevent collisions.

? Earth Observation data processing: Earth observation satellites today have the capacity to capture a large volume of data. However, this factor increases the demand on data management, storage and processing systems. The process of downlinking (telecommunications signal or the information it transmits) satellite data to ground stations still faces some limitations, ranging from fundamental limits on the number of times a satellite can fly over a specific location, ground station coverage and even interoperability limitations between ground segment systems and end-user applications. What has become very common today is the training of AI models to detect clouds and correct images covered by them. In addition, these models are also trained to easily analyze a large amount of data and identify objects.

? Interplanetary travel: The most recently launched rovers to explore Mars have onboard computers equipped with AI that allows them to be autonomous in navigating and making decisions if they do not have communication or commands from humans for some time.?

Robotic missions from NASA and other space agencies are already using Artificial Intelligence to achieve greater efficiency and better quality results in their research. Examples include rovers (which can move around to analyze a larger area of a planet or moon) and landers (which land on a planet or moon to analyze it in situ) that examine Martian craters, and space probes and telescopes dedicated to discovering and analyzing exoplanets (worlds that exist in other star systems). The technologies used in the Artemis Program also feature specific machine learning algorithms, from the most basic instruments to the suits that will be used by astronauts on manned missions to the Moon, especially with regard to life support resources. The Artemis Program developed by NASA aims to take humans back to the surface of the Moon. The program aims to deepen research on our natural satellite and the Solar System, in addition to increasing the time that astronauts spend in space as an important part of the preparation for a next large-scale mission to the planet Mars.?

Already present in several space exploration missions, Artificial Intelligence could make human life possible on other planets. For humans to be able to live and, above all, survive anywhere other than Earth, the chosen world must provide conditions that are equal or at least similar to those on our planet (such as atmosphere, temperature, topography, etc.). Mars and no other planet in the Solar System is similar to Earth, which is why, in order to make its colonization possible, it is necessary to “earthform” it, that is, to reproduce in that place an environment that offers the minimum conditions for the survival of the human species. Earthforming will be one of the advances of the new era of space exploration, with a fundamental role for Artificial Intelligence. Earthforming (adapting the atmosphere, temperature, topography and ecology of a planet or natural satellite to make it suitable for sustaining an ecosystem with Earth-like beings) is just one of the advances expected for the new era of space exploration, in addition to the increase in new materials and the production of complex, cutting-edge rocket propulsion systems. Artificial Intelligence is present in all chains of the space industry. Without it, it is impossible to move forward.?

It is important to note that Artificial Intelligence in space exploration drives the evolution and use of different technologies on Earth. Space exploration is promoting significant advances in science, particularly in the research of new materials and processes. For example, applying a biochemical model in space is completely different from how it is done on Earth. This paves the way for the development of new medicines and treatments. The human challenges of conquering space lead to the resolution of complex problems, benefiting all of humanity. With the advancement of quantum computing (which uses quantum mechanics to solve complex problems faster than traditional computers) essential for more complex space travel, humanity will most likely experience the advent of the 5th industrial revolution that will occur in space.?

2.6- Benefits of Artificial Intelligence with its use in scientific and technological development?

Human evolution must rely on science and technology. As computing technologies advance alongside biotechnology, there is a growing convergence between the two in the form of neural interfaces that in the future may open the door to connecting the human mind directly to an Artificial Intelligence, in order to facilitate greater learning, mental transfer and overcome neurological conditions. This means that science and technology would contribute to human evolution itself and make it a directed and planned evolution. This evolution would not only be biological, but also technological. Science and technology would also enable the genetic manipulation of the human species with the possible creation in the laboratory of new genes that would modify the genetic code to be able to block the replication of viruses, making our cells immune to attacks. This would be one way to protect humans from future pandemics. The modification of the human genome would gradually increase until finally transforming humans into a new biological species. Artificial superintelligence would play a major role in this. Artificial superintelligence could therefore contribute to scientific and technological advances (biotechnology, nanotechnology and neurotechnology) to increase cognitive capacity and overcome physical and psychological limitations of human beings.?

Artificial intelligence could make a decisive contribution to scientific and technological advancement, aiming to provide humanity with the resources necessary to face its survival problems. Artificial Superintelligence could make a decisive contribution to scientific and technological advancement, aiming to provide humanity with the resources necessary to face internal threats to its survival caused by the forces of nature originating from planet Earth (cooling of the planet's core that can lead to the loss of the Earth's magnetic field, eruption of supervolcanoes, reversal of the Earth's magnetic poles during which there will be the loss of the Earth's magnetic field, climate change and pandemics), threats to humanity's survival coming from outer space (impact of asteroids and comets on planet Earth, emission of cosmic rays on Earth, especially gamma rays from the explosion of supernova stars, collision of orphan planets on planet Earth, increasing of distance of the Moon from Earth, collision between the Andromeda and Milky Way galaxies, death of the Sun and end of the Universe in which we live), as well as enabling human colonization of new habitats in the solar system and beyond in search of its survival. With machines that are smarter than humans, with Artificial Superintelligence, humanity will be able to use them to solve scientific and technological problems that ensure the survival of the human species even with the end of the Universe we live in by paving the way for parallel universes.?

2.7- Benefits of Artificial Intelligence with its use in Medicine?

In Medicine, the main applications of artificial intelligence at the moment are the following: 1) AI-Assisted Robotic Surgery through which robots can analyze data from preoperative medical records to guide a surgeon's instrument during surgery that is considered “minimally invasive” for patients; 2) Virtual Nursing Assistants in which virtual nurses will be available to answer questions, monitor patients and provide quick responses; 3) Assistance with Clinical Judgment or Diagnosis in which algorithms examine medical records, habits and genetic information of patients; 4) Workflow and Administrative Tasks with the use of technologies that can help order tests, prescribe medications and write notes on charts; and, 5) Medical Image Analysis using an algorithm that can analyze 3D scans up to 1,000 times faster than is possible today.?

2.8- Benefits of Artificial Intelligence in Education

The benefits of Artificial Intelligence in education are numerous, providing: 1) new research tools for students; 2) student learning anytime, anywhere; 3) personalized teaching; 4) connection with other cultures and languages; 5) automation of assessments; and, 6) data-driven school management.?

New research tools for students?

Generative AI has made the research process even easier for students. What used to require a long visit to the library and then a few minutes of reading on some websites can now be resolved in a few seconds after asking a question to ChatGPT. The difference between this tool and others that came before, such as Google, is that it provides everything in great detail. It is a work and study tool.?

Learning Anytime, Anywhere?

Another change that AI has brought to education, as well as other digital technologies, is the opportunity to learn anywhere and at any time. Although information is not synonymous with knowledge, it is certainly an important part of this process. With these tools at hand, it is much easier to learn about various subjects, from curiosities and historical facts to predominant thoughts of a philosophical school.?

Personalized learning?

Artificial Intelligence contributes to the personalization of teaching. Adaptive learning platforms, for example, collect user data to adapt content to the pace and proficiency level of the user, creating a unique learning journey. Certainly, the personalization of teaching is one of the main benefits, allowing students to learn at their own pace and according to their individual needs. In addition, AI can help identify students' learning problems, enabling teachers to offer specific support and interventions.?

Connection with other cultures and languages?

Another benefit provided by Artificial Intelligence in education is the easier connection with other cultures and languages. New AI-based translation systems are able to produce more accurate results, which allows access to foreign literature and real-time communication with students and professionals from other countries.?

Assessment automation?

The school assessment process also benefits from Artificial Intelligence. School platforms collect student-learning data through online activities, readings and tests. The system not only eliminates the need for manual grading of assessments, but also generates automatic feedback for students and a report of results for teachers and school administrators. Artificial intelligence can be used to reduce teaching costs by automating assessment processes. This can include automatic grading of tests and analysis of written work, reducing teachers' workload and improving the efficiency of the assessment process.?

Data-driven school management?

Artificial Intelligence in education favors data-driven school management. This is because educational platforms collect, analyze and present various data about students in intuitive dashboards, such as:?

? level of engagement on the platform (number of activities completed, pages read or time spent watching video lessons, for example);

? school attendance;

? proficiency level by curricular component;

? socio-emotional and behavioral profile;

? areas of knowledge with the highest and lowest performance.?

Having clarity about this information helps the school in pedagogical monitoring and in combating dropouts. Analyzing student performance and behavior data can help identify students who are at risk of dropping out of school or who are facing specific difficulties, allowing the institution to offer personalized support and more effective interventions.?

3. Conclusions?

From the above, it is quite clear that artificial intelligence provides countless benefits to society through its use in management, production systems, engineering, the energy supply, the space industry, scientific and technological development, medicine and education. All the benefits provided by artificial intelligence to society described above must take into account the Principle of the Common Good, that is, in the pursuit of economic progress and the well-being of humanity.?

* Fernando Alcoforado, awarded the medal of Engineering Merit of the CONFEA / CREA System, member of the SBPC- Brazilian Society for the Progress of Science, IPB- Polytechnic Institute of Bahia and of the Bahia Academy of Education, engineer from the UFBA Polytechnic School and doctor in Territorial Planning and Regional Development from the University of Barcelona, college professor (Engineering, Economy and Administration) and consultant in the areas of strategic planning, business planning, regional planning, urban planning and energy systems, was Advisor to the Vice President of Engineering and Technology at LIGHT S.A. Electric power distribution company from Rio de Janeiro, Strategic Planning Coordinator of CEPED- Bahia Research and Development Center, Undersecretary of Energy of the State of Bahia, Secretary of Planning of Salvador, is the author of the books Globaliza??o (Editora Nobel, S?o Paulo, 1997), De Collor a FHC- O Brasil e a Nova (Des)ordem Mundial (Editora Nobel, S?o Paulo, 1998), Um Projeto para o Brasil (Editora Nobel, S?o Paulo, 2000), Os condicionantes do desenvolvimento do Estado da Bahia (Tese de doutorado. Universidade de Barcelona,https://www.tesisenred.net/handle/10803/1944, 2003), Globaliza??o e Desenvolvimento (Editora Nobel, S?o Paulo, 2006), Bahia- Desenvolvimento do Século XVI ao Século XX e Objetivos Estratégicos na Era Contemporanea (EGBA, Salvador, 2008), The Necessary Conditions of the Economic and Social Development- The Case of the State of Bahia (VDM Verlag Dr. Müller Aktiengesellschaft & Co. KG, Saarbrücken, Germany, 2010), Aquecimento Global e Catástrofe Planetária (Viena- Editora e Gráfica, Santa Cruz do Rio Pardo, S?o Paulo, 2010), Amaz?nia Sustentável- Para o progresso do Brasil e combate ao aquecimento global (Viena- Editora e Gráfica, Santa Cruz do Rio Pardo, S?o Paulo, 2011), Os Fatores Condicionantes do Desenvolvimento Econ?mico e Social (Editora CRV, Curitiba, 2012), Energia no Mundo e no Brasil- Energia e Mudan?a Climática Catastrófica no Século XXI (Editora CRV, Curitiba, 2015), As Grandes Revolu??es Científicas, Econ?micas e Sociais que Mudaram o Mundo (Editora CRV, Curitiba, 2016), A Inven??o de um novo Brasil (Editora CRV, Curitiba, 2017),? Esquerda x Direita e a sua convergência (Associa??o Baiana de Imprensa, Salvador, 2018), Como inventar o futuro para mudar o mundo (Editora CRV, Curitiba, 2019), A humanidade amea?ada e as estratégias para sua sobrevivência (Editora Dialética, S?o Paulo, 2021), A escalada da ciência e da tecnologia e sua contribui??o ao progresso e à sobrevivência da humanidade (Editora CRV, Curitiba, 2022), a chapter in the book Flood Handbook (CRC Press,? Boca Raton, Florida United States, 2022), How to protect human beings from threats to their existence and avoid the extinction of humanity (Generis Publishing, Europe, Republic of Moldova, Chi?in?u, 2023), A revolu??o da educa??o necessária ao Brasil na era contemporanea (Editora CRV, Curitiba, 2023), Como construir um mundo de paz, progresso e felicidade para toda a humanidade (Editora CRV, Curitiba, 2024) and How to build a world of peace, progress and happiness for all humanity (Editora CRV, Curitiba, 2024).

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