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This document discusses artificial intelligence (AI) and was created by team LIFE-LESS. It includes sections on defining AI, the history of AI development, types of AI like natural language processing, applications in areas such as robotics and virtual assistants, benefits like automating repetitive tasks, challenges regarding job impacts and data privacy, and future trends involving healthcare, sustainability, and integrating AI with IoT. The conclusion is that AI has potential but also requires responsible development given ethical considerations.
The document discusses artificial intelligence and its impacts. It provides an introduction to AI, describing its types and training models. It then discusses both the positives and impacts of AI, including increased efficiency but also threats to employment. The document explores how AI can collaborate with humans, providing examples, and also examines its applications in warfare and cybersecurity, noting associated risks. Examples of recent AI achievements are provided. The conclusion reiterates that AI will change the future while bibliographic sources are referenced.
artificial-intelligence And sepf balancing scooter.pptxKrishnaHasare
Artificial intelligence (AI) is the ability of machines to perform tasks like understanding language, visual perception, and decision making. There are several types of AI from reactive machines with no memory to self-aware machines. Main uses of AI include virtual assistants, business/finance applications, education, commerce, and healthcare. The advantages of AI are automation of repetitive tasks, reduced human error, increased efficiency and accuracy in decision making. However, AI also faces disadvantages like difficulty accessing all needed data and a lack of qualified professionals.
Artificial intelligence (AI) refers to machines that can think and act like humans. The document discusses AI's definition, history, types, and how it works through data collection, analysis, and decision making. It also explores AI's impact on healthcare, finance, education, transportation, and customer service by improving efficiency, precision, and automation. While AI provides benefits, concerns around privacy, jobs, and bias must be addressed through regulations and responsible development. The future of AI involves continued advancement through collaboration between humans and machines.
The document provides an overview of an artificial intelligence course taught at the Nadimpalli Satyanarayana Raju Institute of Technology. The course instructor is D Hema Sri Chowdary and covers topics such as the definition of AI, its importance and applications, the differences between AI, machine learning and deep learning, and the pros and cons of AI. A brief history of AI development is also presented, outlining major advancements from 1956 to the present.
The document discusses trends in applying artificial intelligence (AI) to IT service management (ITSM). It defines AI and discusses how AI can interact with and improve the IT service desk through chatbots, recommendations, and prioritizing knowledge bases. The document outlines use cases for AI in ITSM like improving self-service, decision making, and services. It also covers benefits like better user experience and time to insight but challenges like resistance to change and lack of trust. Industry experts provide opinions on using AI to augment rather than replace humans. In conclusion, AI is poised to be a boon for ITSM by complementing human agents.
This document discusses artificial intelligence (AI) and was created by team LIFE-LESS. It includes sections on defining AI, the history of AI development, types of AI like natural language processing, applications in areas such as robotics and virtual assistants, benefits like automating repetitive tasks, challenges regarding job impacts and data privacy, and future trends involving healthcare, sustainability, and integrating AI with IoT. The conclusion is that AI has potential but also requires responsible development given ethical considerations.
The document discusses artificial intelligence and its impacts. It provides an introduction to AI, describing its types and training models. It then discusses both the positives and impacts of AI, including increased efficiency but also threats to employment. The document explores how AI can collaborate with humans, providing examples, and also examines its applications in warfare and cybersecurity, noting associated risks. Examples of recent AI achievements are provided. The conclusion reiterates that AI will change the future while bibliographic sources are referenced.
artificial-intelligence And sepf balancing scooter.pptxKrishnaHasare
Artificial intelligence (AI) is the ability of machines to perform tasks like understanding language, visual perception, and decision making. There are several types of AI from reactive machines with no memory to self-aware machines. Main uses of AI include virtual assistants, business/finance applications, education, commerce, and healthcare. The advantages of AI are automation of repetitive tasks, reduced human error, increased efficiency and accuracy in decision making. However, AI also faces disadvantages like difficulty accessing all needed data and a lack of qualified professionals.
Artificial intelligence (AI) refers to machines that can think and act like humans. The document discusses AI's definition, history, types, and how it works through data collection, analysis, and decision making. It also explores AI's impact on healthcare, finance, education, transportation, and customer service by improving efficiency, precision, and automation. While AI provides benefits, concerns around privacy, jobs, and bias must be addressed through regulations and responsible development. The future of AI involves continued advancement through collaboration between humans and machines.
The document provides an overview of an artificial intelligence course taught at the Nadimpalli Satyanarayana Raju Institute of Technology. The course instructor is D Hema Sri Chowdary and covers topics such as the definition of AI, its importance and applications, the differences between AI, machine learning and deep learning, and the pros and cons of AI. A brief history of AI development is also presented, outlining major advancements from 1956 to the present.
The document discusses trends in applying artificial intelligence (AI) to IT service management (ITSM). It defines AI and discusses how AI can interact with and improve the IT service desk through chatbots, recommendations, and prioritizing knowledge bases. The document outlines use cases for AI in ITSM like improving self-service, decision making, and services. It also covers benefits like better user experience and time to insight but challenges like resistance to change and lack of trust. Industry experts provide opinions on using AI to augment rather than replace humans. In conclusion, AI is poised to be a boon for ITSM by complementing human agents.
Artificial intelligence (AI) is the ability of computers to perform tasks typically requiring human intelligence. AI is shaping our future by driving technologies like big data, robotics, and the Internet of Things. It faces challenges such as determining the right data sets, data security and storage, high computation needs, and being expensive and rare. However, AI also provides benefits such as reducing human error, making faster decisions, and being available 24/7. Current applications of AI include machine learning, natural language processing, robotics, education, and autonomous vehicles. AI will continue innovating technology and transforming scientific research in the coming years.
This document discusses applications of artificial intelligence and machine learning. It provides examples of AI and ML applications in various industries such as healthcare, finance, transportation, marketing and advertising, and more. It also discusses career opportunities in AI and ML fields and the skills needed for success, such as technical skills, cognitive science skills, and skills related to data, hardware, and problem solving. Additionally, it discusses how startups are being driven by growth in AI and ML technologies.
The document discusses how artificial intelligence (AI) will impact the future of work and how human resource (HR) professionals should respond. It notes that while some studies have found that up to 47% of jobs may be automated, fears of widespread job losses are exaggerated. The document outlines 7 ways AI could impact the future, such as improving healthcare through personalized treatment plans. It argues that HR should view AI as an opportunity rather than a threat, and that HR can help ensure AI is implemented to benefit both companies and employees through retraining and viewing machines as assistants rather than replacements. The document concludes by questioning whether advances in AI and technology more broadly could be pushing humans to evolve to their next stage.
Artificial intelligence (AI) development involves creating intelligent machines that can perform tasks normally requiring human intelligence, such as visual perception and language translation. The development process includes collecting large amounts of data to train AI models through algorithms and statistical models. AI development requires experts from various fields and poses challenges around data needs and ensuring transparency, but continued investment and progress are transforming industries like healthcare and transportation through intelligent machines.
Get Artificial Intelligence development servicessnakconsultancy
Get Best Artificial Intelligence development services with expect customer needs more quickly with Machine Learning, NLP Solution, OCR & Chatbot Solution
Get Artificial Intelligence development servicessnakconsultancy
Get Best Artificial Intelligence development services with expect customer needs more quickly with Machine Learning, NLP Solution, OCR & Chatbot Solution
Artificial intelligence is a technology that has been developed to mimic the human capacity for information processing and learning. By enabling computers to perform tasks that previously required human intervention, AI has revolutionized many industries and changed the way business is done.
A Study On Artificial Intelligence Technologies And Its ApplicationsJeff Nelson
This document discusses artificial intelligence (AI) technologies and their applications. It begins by defining AI as the recreation of human intelligence processes by machines. It then describes different types of AI, including weak AI which is designed for specific tasks, and strong AI which exhibits generalized human-level cognition. The document outlines several AI technologies like machine learning, machine vision, and natural language processing. It provides examples of how these technologies are used in applications such as self-driving cars, medical imaging, and digital assistants.
Artificial intelligence and automation will significantly impact future jobs. Many existing jobs will be displaced, but new jobs will also be created. Skills that are important today like driving trucks may no longer be needed if self-driving vehicles are widely adopted. However, AI will also drive innovation and create new industries and jobs. Education will need to focus on emerging technical skills like data science, cybersecurity and artificial intelligence to prepare students for these new types of jobs. Taylor's University is transforming its degree programs, like computer science, to offer specializations in high demand AI fields and opportunities for real-world work experience through internships and industry projects.
The 10 most innovative artificial intelligence companiesMerry D'souza
In the issue of The 10 Most Innovative Artificial Intelligence Companies, we have presented the bigger AI solutions provider, who have accomplished trademark by providing best-in-class AI solutions and are well equipped for continuing the Tech sectors’ future.
This document provides an overview of artificial intelligence (AI), including what it is, types of AI, main uses, and advantages and disadvantages. It defines AI as technologies that enable computers to perform advanced functions like understanding language and analyzing data without human supervision. The document outlines four main types of AI: reactive machines, limited memory, mind theory, and self-awareness. It discusses common uses of AI such as virtual assistants, business/finance, education, commerce, and healthcare. Finally, it lists advantages like automation and reduced errors, and disadvantages including difficulty accessing data and lack of qualified professionals.
This document provides an overview of artificial intelligence (AI) including definitions of different types of AI, a brief history of AI, potential application fields and use cases, and the future outlook for AI. It defines AI as ranging from everyday applications to self-driving cars. It discusses narrow AI, general AI, and superintelligence. The document also summarizes key milestones in the development of AI from 1955 to the present and potential opportunities and challenges of AI including automation, ethics, and politics. It provides examples of Austrian AI startups and their technologies. The outlook suggests that human-level AI may be achieved by 2040 and superintelligence by 2060 with impacts on robotics, climate change, human enhancement, and autonomous
Artificial Intelligence: How to prepare yourself for the futureFolasade Adedeji
This document provides an overview of artificial intelligence (AI) and discusses how to position oneself for a career in AI. It defines AI and describes how machines are getting smarter, with algorithms detecting disease outbreaks faster than humans and driverless cars projected to make up 75% of traffic by 2040. The document outlines various AI applications, subfields, and how AI works using large data and algorithms. It also discusses limitations of AI and careers in AI like machine learning engineering. It advises keeping up with trends, learning new technologies, and developing soft skills to succeed in an AI-influenced future.
Artificial Intelligence | Introduction to AI | What is ai?SumitKumarShukla2
The document provides an overview of artificial intelligence (AI), including definitions, applications, importance, job roles, and companies hiring in the AI field. It defines AI as enabling machines to mimic human behavior and perform tasks like visual perception, speech recognition, and decision-making. Some applications discussed include machine translation, facial recognition, chatbots, self-driving cars, and virtual assistants. The document also outlines the importance of AI and several common job profiles in AI like machine learning engineers, data scientists, and research scientists, as well as some of the top companies hiring for AI roles.
Artificial Intelligence In Information TechnologyKatie Naple
This document discusses artificial intelligence (AI) and its applications in information technology. It provides an overview of key AI technologies like machine learning, deep learning, natural language generation, speech recognition and biometrics. It then discusses how AI is applied in various sectors such as healthcare, business, manufacturing and automotive industries. The document also outlines some advantages of AI, such as improved performance and data security, as well as challenges like technical difficulties and data issues.
Top 10 IT Courses in Demand in India.pdfZayn987605
Here are Top 10 IT Courses in Demand in India. there is a plethora of opportunities available for individuals who possess the right set of technical skills. Whether you are a fresh graduate or a working professional looking to upskill, enrolling in the right IT course can significantly boost your career prospects. In this article, we will explore the top 10 IT courses that are in high demand in India.
In our dynamic session at Diet Ernakulam, we explored the transformative possibilities of integrating Artificial Intelligence (AI) in educational settings. The talk aimed to empower primary school educators with insights and practical strategies to leverage AI for an enriched learning experience. This talk marks the beginning of an ongoing conversation. The journey of integrating AI in classrooms is an evolving one, and we look forward to continued collaboration, exploration, and innovation in the intersection of education and technology.
The Revolutionary Progress of Artificial Inteligence (AI) in Health CareSindhBiotech
This Lecture is presented by our 2k23 volunteer Hina Nawaz, she is from Karachi, Pakistan, and she is covering "The Revolutionary Progress of Artificial Inteligence (AI) in Health Care".
Youtube: https://youtu.be/vhJRCj5ZgJc
This document discusses ethical issues related to artificial intelligence. It begins with defining AI and providing examples of current applications. It then explores some of the key ethical issues like algorithmic bias, accountability, transparency, privacy, security risks, and challenges of balancing commercial and ethical priorities. Finally, it discusses how colleges can help address these issues through curriculum changes, events, collaboration with industry, and promoting a culture of responsible AI development.
How artificial intelligence(AI) will change the world in 2021kalyanit6
From smartphones to chatbots, Artificial intelligence is already pervasive in our digital lives. You may not know it yet. The moment behind AI is capturing, thanks to the huge amount of data that computers can collect every day about our likes, our purchases, and our movements. And experts in Artificial Intelligence Research to train or hate to learn how to train and ICT hint what we need to do to train machines.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Artificial intelligence (AI) is the ability of computers to perform tasks typically requiring human intelligence. AI is shaping our future by driving technologies like big data, robotics, and the Internet of Things. It faces challenges such as determining the right data sets, data security and storage, high computation needs, and being expensive and rare. However, AI also provides benefits such as reducing human error, making faster decisions, and being available 24/7. Current applications of AI include machine learning, natural language processing, robotics, education, and autonomous vehicles. AI will continue innovating technology and transforming scientific research in the coming years.
This document discusses applications of artificial intelligence and machine learning. It provides examples of AI and ML applications in various industries such as healthcare, finance, transportation, marketing and advertising, and more. It also discusses career opportunities in AI and ML fields and the skills needed for success, such as technical skills, cognitive science skills, and skills related to data, hardware, and problem solving. Additionally, it discusses how startups are being driven by growth in AI and ML technologies.
The document discusses how artificial intelligence (AI) will impact the future of work and how human resource (HR) professionals should respond. It notes that while some studies have found that up to 47% of jobs may be automated, fears of widespread job losses are exaggerated. The document outlines 7 ways AI could impact the future, such as improving healthcare through personalized treatment plans. It argues that HR should view AI as an opportunity rather than a threat, and that HR can help ensure AI is implemented to benefit both companies and employees through retraining and viewing machines as assistants rather than replacements. The document concludes by questioning whether advances in AI and technology more broadly could be pushing humans to evolve to their next stage.
Artificial intelligence (AI) development involves creating intelligent machines that can perform tasks normally requiring human intelligence, such as visual perception and language translation. The development process includes collecting large amounts of data to train AI models through algorithms and statistical models. AI development requires experts from various fields and poses challenges around data needs and ensuring transparency, but continued investment and progress are transforming industries like healthcare and transportation through intelligent machines.
Get Artificial Intelligence development servicessnakconsultancy
Get Best Artificial Intelligence development services with expect customer needs more quickly with Machine Learning, NLP Solution, OCR & Chatbot Solution
Get Artificial Intelligence development servicessnakconsultancy
Get Best Artificial Intelligence development services with expect customer needs more quickly with Machine Learning, NLP Solution, OCR & Chatbot Solution
Artificial intelligence is a technology that has been developed to mimic the human capacity for information processing and learning. By enabling computers to perform tasks that previously required human intervention, AI has revolutionized many industries and changed the way business is done.
A Study On Artificial Intelligence Technologies And Its ApplicationsJeff Nelson
This document discusses artificial intelligence (AI) technologies and their applications. It begins by defining AI as the recreation of human intelligence processes by machines. It then describes different types of AI, including weak AI which is designed for specific tasks, and strong AI which exhibits generalized human-level cognition. The document outlines several AI technologies like machine learning, machine vision, and natural language processing. It provides examples of how these technologies are used in applications such as self-driving cars, medical imaging, and digital assistants.
Artificial intelligence and automation will significantly impact future jobs. Many existing jobs will be displaced, but new jobs will also be created. Skills that are important today like driving trucks may no longer be needed if self-driving vehicles are widely adopted. However, AI will also drive innovation and create new industries and jobs. Education will need to focus on emerging technical skills like data science, cybersecurity and artificial intelligence to prepare students for these new types of jobs. Taylor's University is transforming its degree programs, like computer science, to offer specializations in high demand AI fields and opportunities for real-world work experience through internships and industry projects.
The 10 most innovative artificial intelligence companiesMerry D'souza
In the issue of The 10 Most Innovative Artificial Intelligence Companies, we have presented the bigger AI solutions provider, who have accomplished trademark by providing best-in-class AI solutions and are well equipped for continuing the Tech sectors’ future.
This document provides an overview of artificial intelligence (AI), including what it is, types of AI, main uses, and advantages and disadvantages. It defines AI as technologies that enable computers to perform advanced functions like understanding language and analyzing data without human supervision. The document outlines four main types of AI: reactive machines, limited memory, mind theory, and self-awareness. It discusses common uses of AI such as virtual assistants, business/finance, education, commerce, and healthcare. Finally, it lists advantages like automation and reduced errors, and disadvantages including difficulty accessing data and lack of qualified professionals.
This document provides an overview of artificial intelligence (AI) including definitions of different types of AI, a brief history of AI, potential application fields and use cases, and the future outlook for AI. It defines AI as ranging from everyday applications to self-driving cars. It discusses narrow AI, general AI, and superintelligence. The document also summarizes key milestones in the development of AI from 1955 to the present and potential opportunities and challenges of AI including automation, ethics, and politics. It provides examples of Austrian AI startups and their technologies. The outlook suggests that human-level AI may be achieved by 2040 and superintelligence by 2060 with impacts on robotics, climate change, human enhancement, and autonomous
Artificial Intelligence: How to prepare yourself for the futureFolasade Adedeji
This document provides an overview of artificial intelligence (AI) and discusses how to position oneself for a career in AI. It defines AI and describes how machines are getting smarter, with algorithms detecting disease outbreaks faster than humans and driverless cars projected to make up 75% of traffic by 2040. The document outlines various AI applications, subfields, and how AI works using large data and algorithms. It also discusses limitations of AI and careers in AI like machine learning engineering. It advises keeping up with trends, learning new technologies, and developing soft skills to succeed in an AI-influenced future.
Artificial Intelligence | Introduction to AI | What is ai?SumitKumarShukla2
The document provides an overview of artificial intelligence (AI), including definitions, applications, importance, job roles, and companies hiring in the AI field. It defines AI as enabling machines to mimic human behavior and perform tasks like visual perception, speech recognition, and decision-making. Some applications discussed include machine translation, facial recognition, chatbots, self-driving cars, and virtual assistants. The document also outlines the importance of AI and several common job profiles in AI like machine learning engineers, data scientists, and research scientists, as well as some of the top companies hiring for AI roles.
Artificial Intelligence In Information TechnologyKatie Naple
This document discusses artificial intelligence (AI) and its applications in information technology. It provides an overview of key AI technologies like machine learning, deep learning, natural language generation, speech recognition and biometrics. It then discusses how AI is applied in various sectors such as healthcare, business, manufacturing and automotive industries. The document also outlines some advantages of AI, such as improved performance and data security, as well as challenges like technical difficulties and data issues.
Top 10 IT Courses in Demand in India.pdfZayn987605
Here are Top 10 IT Courses in Demand in India. there is a plethora of opportunities available for individuals who possess the right set of technical skills. Whether you are a fresh graduate or a working professional looking to upskill, enrolling in the right IT course can significantly boost your career prospects. In this article, we will explore the top 10 IT courses that are in high demand in India.
In our dynamic session at Diet Ernakulam, we explored the transformative possibilities of integrating Artificial Intelligence (AI) in educational settings. The talk aimed to empower primary school educators with insights and practical strategies to leverage AI for an enriched learning experience. This talk marks the beginning of an ongoing conversation. The journey of integrating AI in classrooms is an evolving one, and we look forward to continued collaboration, exploration, and innovation in the intersection of education and technology.
The Revolutionary Progress of Artificial Inteligence (AI) in Health CareSindhBiotech
This Lecture is presented by our 2k23 volunteer Hina Nawaz, she is from Karachi, Pakistan, and she is covering "The Revolutionary Progress of Artificial Inteligence (AI) in Health Care".
Youtube: https://youtu.be/vhJRCj5ZgJc
This document discusses ethical issues related to artificial intelligence. It begins with defining AI and providing examples of current applications. It then explores some of the key ethical issues like algorithmic bias, accountability, transparency, privacy, security risks, and challenges of balancing commercial and ethical priorities. Finally, it discusses how colleges can help address these issues through curriculum changes, events, collaboration with industry, and promoting a culture of responsible AI development.
How artificial intelligence(AI) will change the world in 2021kalyanit6
From smartphones to chatbots, Artificial intelligence is already pervasive in our digital lives. You may not know it yet. The moment behind AI is capturing, thanks to the huge amount of data that computers can collect every day about our likes, our purchases, and our movements. And experts in Artificial Intelligence Research to train or hate to learn how to train and ICT hint what we need to do to train machines.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
An improved modulation technique suitable for a three level flying capacitor ...IJECEIAES
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
2. AI refers to the ability of machines to
perform tasks that normally require
human intelligence, such as:
Learning
Problem-solving
Decision-making
Language Understanding.
Introduction
2
3. TABLE OF CONTENTS
01 Introduction
02 History of AI
03 Classification of AI
04 Application of AI
05 Advantage of AI
06 Challenges of AI
07 Future of AI
08 Conclusion
3
4. OUR TEAM
Shahria Ahsan Taisiq
Md. Jahid Hassan
Student ID: 201002396
Department of CSE
Green University of Bangladesh
Student ID: 201002463
Department of CSE
Green University of Bangladesh
4
5. Hisotory of AI
1950
The first AI
program is
created by
Alan Turing
Machine learning
techniques
become widely
used in AI
1980
1990
AI experiences
a resurgence
with the advent
of the Internet
AI becomes
more widely
adopted in
various
industries
2010
2020
AI becomes
increasingly
sophisticated and
able to perform a
wider range of
tasks
5
9. Challenges of AI
Unfairly discriminate against
people
Automate biased choices.
Unethically collect and handle
personal data
Replace labor.
Influence opinion
Vulnerable groups
Difficult to develop
Attackable
Hard to understand.
Ethical Social Technical
9
10. Future of AI
• Job Displacement of certain roles
• Increased safety and efficiency
• Automation of routine tasks
• Improved access to healthcare
• Improved communication
• Increased productivity and efficiency
• New job opportunities
• Reduced costs
• Increased global competition
• Increased demand for AI-related skills
Impact on Society Impact on the Economy
10
11. Conclusion
we discussed the basics of Artificial
Intelligence, its history and development,
current applications, and potential future
applications.
We addressed AI ethics and how to handle
them.
Finally, we looked at the importance of AI
education and how it can help to unlock the
potential of AI in the future.
11
1. Narrow AI: Narrow AI is a type of Artificial Intelligence that is designed to perform specific tasks and is trained to do so. It does not possess the capability to think for itself or reason through problems. Examples include facial recognition, natural language processing, and robotics.
2. General AI: General AI is a type of Artificial Intelligence that is capable of learning and reasoning in a wide variety of contexts. It can think for itself and solve problems independently. Examples include autonomous vehicles and virtual personal assistants.
3. Supervised AI: Supervised AI is a type of Artificial Intelligence that is trained with labeled data. It is given a set of labeled examples and learns to recognize patterns in the data. Examples include image recognition and voice recognition.
3. Reactive AI: AI systems that are designed to react to a particular situation, but are not capable of forming memories or using past experiences to inform their decisions.
4. Cognitive AI: AI systems that are designed to interact with the environment and use past experiences to inform their decisions.
Ethical Challenges
• AI systems can be used to unfairly discriminate against people, either consciously or unconsciously.
• AI systems can be used to automate decisions that are based on biased or incomplete data sets, leading to unfair outcomes.
• AI systems can be used to collect and process personal data in an unethical way, violating privacy rights.
Social Challenges
• AI systems can be used to replace human labor, leading to job displacement and income inequality.
• AI systems can be used to manipulate public opinion, leading to increased social unrest and polarization.
• AI systems can be used to target vulnerable populations, leading to exploitation and harm.
Technical Challenges
• AI systems are difficult to develop, and require significant time and resources to maintain.
• AI systems can be vulnerable to attack, leading to data breaches and other security issues.
• AI systems can be difficult to interpret and explain, leading to a lack of transparency and accountability.
Slide 1: The Future of Artificial Intelligence
Slide 2: Impact on Society
• Job Displacement of certain roles
• Increased safety and efficiency
• Automation of routine tasks
• Improved access to healthcare
• Improved communication
Slide 3: Impact on the Economy
• Increased productivity and efficiency
• New job opportunities
• Reduced costs
• Increased global competition
• Increased demand for AI-related skills
Slide 4: Conclusion
The future of AI is uncertain, but it has the potential to revolutionize industries, create jobs, and increase productivity. The impact of AI on society and the economy will depend on how we plan for and use AI responsibly.
