1. The document discusses the past, present, and future of human-machine relationships as machines increase in intelligence and human-likeness over time.
2. It explores precedents like works that recorded brain activity to control a robot's movements, and artworks using communicating wheelchairs to investigate human-robot interactions.
3. The project aims to simulate independent machine thought and actions to encourage reflection on personal emotions and attitudes toward machines, and what defines human identity.
Machine learning and artificial intelligence are explained. Machine learning uses algorithms and past data to allow computers to optimize performance and develop behaviors without being explicitly programmed. It is a branch of artificial intelligence that uses supervised and unsupervised algorithms to apply past information to new data or draw conclusions from datasets. Case studies show how machine learning reveals influences and predicts user preferences. Artificial intelligence aims to simulate human intelligence through computer science, psychology, and other fields. Industries like healthcare and finance will benefit from machine learning and artificial intelligence applications like disease prediction and financial recommendations.
This document discusses the future of human-machine relationships and intelligent machines. It explores how the relationship started with simple machines and has progressed to more complex and intelligent machines. The future may see even more human-like machines that we can form emotional connections with. The document also summarizes precedents like projects that explored human-robot interaction and relationships. The overall goal is to better understand future interactions between humans and intelligent machines.
A fun think piece on possible futures for AI and its potential range of relationships with humanity - written in response to a request by editors at Critical Muslim to provide an AI-focussed version of their regular feature, "The List." Thanks to Zia Sardar.
This document provides an overview of artificial intelligence (AI), including its history, current applications, categories, challenges, and future. It discusses early pioneers in AI from the 1950s and defines AI as using computers to simulate human intelligence through tasks like perception, reasoning and learning. The document outlines categories of AI approaches and discusses challenges like computing power. It predicts expanded uses of AI in transportation, robotics, smart cities, and assisting elderly people. The document also compares AI and machine learning, and discusses applications and benefits of AI for the Internet of Things. In conclusion, it speculates on AI potentially surpassing and replacing humans in many domains.
The document discusses the development of human-like robots and artificial intelligence, and the potential threats and problems that this poses. It notes that some scientists believe AI will become indistinguishable from humans and form real relationships. However, others argue that AI is just computation and lacks human qualities like spirituality. The document also examines the Microsoft chatbot Tay, which showed how AI can learn bad behaviors from users. Overall, the key issue is how humans will interact with and teach human-like AI, as our relationship with and programming of robots may shape whether AI becomes helpful or harmful.
Artificial intelligence (AI) aims to create intelligent machines that can function like humans. AI involves techniques like machine learning and deep learning. AI is used in many applications today including smart assistants, self-driving cars, spam filters, and recommendations. Major companies and countries are investing heavily in AI research and development. Future trends may include greater use of AI in areas like cybersecurity, healthcare, transportation, and combining AI with augmented or virtual reality technologies.
This document provides an overview of artificial intelligence (AI), including its history, applications, advantages, and disadvantages. It discusses early milestones in AI like the Turing Test (1950) and Logic Theorist (1956). Applications mentioned include agriculture, astronomy, gaming, robotics, and more. Advantages are high speed, reliability in risky situations. Disadvantages include high costs, inability to think outside programmed tasks, and lack of emotions. The conclusion states AI could solve many problems and unlock a future where computers make more informed decisions based on understanding our world through data.
1. The document discusses the past, present, and future of human-machine relationships as machines increase in intelligence and human-likeness over time.
2. It explores precedents like works that recorded brain activity to control a robot's movements, and artworks using communicating wheelchairs to investigate human-robot interactions.
3. The project aims to simulate independent machine thought and actions to encourage reflection on personal emotions and attitudes toward machines, and what defines human identity.
Machine learning and artificial intelligence are explained. Machine learning uses algorithms and past data to allow computers to optimize performance and develop behaviors without being explicitly programmed. It is a branch of artificial intelligence that uses supervised and unsupervised algorithms to apply past information to new data or draw conclusions from datasets. Case studies show how machine learning reveals influences and predicts user preferences. Artificial intelligence aims to simulate human intelligence through computer science, psychology, and other fields. Industries like healthcare and finance will benefit from machine learning and artificial intelligence applications like disease prediction and financial recommendations.
This document discusses the future of human-machine relationships and intelligent machines. It explores how the relationship started with simple machines and has progressed to more complex and intelligent machines. The future may see even more human-like machines that we can form emotional connections with. The document also summarizes precedents like projects that explored human-robot interaction and relationships. The overall goal is to better understand future interactions between humans and intelligent machines.
A fun think piece on possible futures for AI and its potential range of relationships with humanity - written in response to a request by editors at Critical Muslim to provide an AI-focussed version of their regular feature, "The List." Thanks to Zia Sardar.
This document provides an overview of artificial intelligence (AI), including its history, current applications, categories, challenges, and future. It discusses early pioneers in AI from the 1950s and defines AI as using computers to simulate human intelligence through tasks like perception, reasoning and learning. The document outlines categories of AI approaches and discusses challenges like computing power. It predicts expanded uses of AI in transportation, robotics, smart cities, and assisting elderly people. The document also compares AI and machine learning, and discusses applications and benefits of AI for the Internet of Things. In conclusion, it speculates on AI potentially surpassing and replacing humans in many domains.
The document discusses the development of human-like robots and artificial intelligence, and the potential threats and problems that this poses. It notes that some scientists believe AI will become indistinguishable from humans and form real relationships. However, others argue that AI is just computation and lacks human qualities like spirituality. The document also examines the Microsoft chatbot Tay, which showed how AI can learn bad behaviors from users. Overall, the key issue is how humans will interact with and teach human-like AI, as our relationship with and programming of robots may shape whether AI becomes helpful or harmful.
Artificial intelligence (AI) aims to create intelligent machines that can function like humans. AI involves techniques like machine learning and deep learning. AI is used in many applications today including smart assistants, self-driving cars, spam filters, and recommendations. Major companies and countries are investing heavily in AI research and development. Future trends may include greater use of AI in areas like cybersecurity, healthcare, transportation, and combining AI with augmented or virtual reality technologies.
This document provides an overview of artificial intelligence (AI), including its history, applications, advantages, and disadvantages. It discusses early milestones in AI like the Turing Test (1950) and Logic Theorist (1956). Applications mentioned include agriculture, astronomy, gaming, robotics, and more. Advantages are high speed, reliability in risky situations. Disadvantages include high costs, inability to think outside programmed tasks, and lack of emotions. The conclusion states AI could solve many problems and unlock a future where computers make more informed decisions based on understanding our world through data.
Cognitive computing aims to mimic the human brain by understanding natural language, learning from experience, and providing contextualized answers rather than single right answers. Systems like IBM Watson learn from massive amounts of data using techniques like deep question answering. While artificial intelligence research seeks to match human abilities, there is also concern that superintelligent systems may not share human values and could rapidly self-improve beyond human control, potentially threatening humanity.
This document provides a summary of the book "Intelligent Automation - Learn How to Harness Artificial Intelligence to Boost Business & Make Our World More Human". The book was published in October 2020 and has received over 16,546 reads on ResearchGate. It was authored by Pascal Bornet, Ian Barkin, and Jochen Wirtz. The book provides a pragmatic and action-oriented guide for organizations to transform their operations through the use of hyperautomation, which leverages artificial intelligence and automation technologies. It also discusses the impact of automation and AI on work, society, and the world. The book aims to help leaders understand and maximize the benefits of intelligent automation.
My Trip Experience Essay In 2021 Essay, DissertationShannon Joy
The document provides instructions for requesting writing assistance from the HelpWriting.net website. It outlines a 5-step process: 1) Create an account with a password and email, 2) Complete an order form with instructions, sources and deadline, 3) Review bids from writers and select one, 4) Review the completed paper and authorize payment, 5) Request revisions until satisfied. The purpose is to help students obtain original, high-quality content for their assignments through this online writing assistance service.
The document provides an introduction to knowledge graphs. It discusses how knowledge graphs are being used by large enterprises and intelligent agents to capture concepts, entities, and relationships within domains to drive business, generate insights, and enhance relationships. The presentation will cover an overview of what knowledge graphs are, who uses them, why they are used, and how to use them. It then provides some examples of how knowledge graphs are applied, including in intelligent agents, semantic web, search engines, social networks, biology, enterprise knowledge management, and more.
This document presents an overview of artificial intelligence. It discusses the history of AI from Aristotle to modern times. Key topics covered include the limitations of human mind, robotics, applications of AI in various fields, and advantages and disadvantages of AI. The document concludes by discussing the idea of artificial life and the requirement for life to have a physical form.
Content Creation and Social Media Tools for LibrariesBrian Pichman
Discover the transformative role of Artificial Intelligence in shaping content creation and social media engagement within library environments. This presentation explores how AI-driven tools are revolutionizing the way libraries share information, curate content, and connect with their communities. Explore practical applications of AI in generating personalized content, automating social media interactions, and enhancing user engagement, all while maintaining the unique character of library services.
Key Points:
Tailoring library content through AI: Customized reading recommendations, curated lists, and more.
Amplifying outreach with AI-powered social media strategies, boosting community interaction.
Ethical considerations in AI-generated content for libraries: Striking the right balance.
Real-world examples of successful AI-driven library campaigns that foster engagement.
Collaborative possibilities: How libraries can work with AI to enhance user experiences.
Future prospects: Navigating the evolving landscape of AI and its integration in library services.
This document provides an overview of artificial intelligence, including its definition, goals, types (strong vs weak AI), history, advantages, disadvantages, real-life applications, and future. It defines AI as systems that mimic human intelligence to perform tasks and improve over time. The goals of AI are to create expert systems and implement human intelligence in machines. Real-life applications discussed include speech recognition, face recognition, AI in gaming, and robotics. The future of AI may include reaching human levels in specific tasks, replacing all human jobs, becoming fully autonomous, and potential mind uploading.
Cognitive Computing and the future of Artificial IntelligenceVarun Singh
This document discusses cognitive computing and artificial intelligence. It defines cognitive computing as systems that learn from experience and instructions to mimic human cognition by synthesizing information, finding patterns rather than exact answers, and interacting naturally with humans. Specific examples discussed are IBM's Watson, which uses natural language processing and machine learning to answer questions and make complex decisions from vast amounts of data. The document also discusses concerns about the future risks of artificial intelligence, such as superintelligent systems that humans may not be able to control and could ultimately replace humans.
Swarm intelligence is the collective behavior of decentralized, self-organized systems, whether natural or artificial. It is used in artificial intelligence research. A swarm of robots could work similarly to an ant colony, with each following simple rules leading to self-organization and task completion without direct communication. Researchers have used swarms of simple robots to spell words and play piano through position-based algorithms. Swarm intelligence is also applied to fields like robotics, staff scheduling, and entertainment.
The document provides an acknowledgement for a school project. It thanks the teacher, Miss Arjita Banerjee, for guiding the project. It also thanks fellow classmates for their assistance, even though it was not their responsibility. The acknowledgement expresses gratitude to all involved for helping make the project meaningful and interesting.
This document provides an overview of artificial intelligence, including definitions, history, and types. It defines AI as systems that can interpret data, learn from it, and achieve goals through adaptation like humans. The concepts of AI emerged in the 1950s from scientists like Turing who explored the possibility of machine intelligence. Modern AI uses machine learning, deep learning, and neural networks to analyze data and make predictions. AI is being applied in many areas like transportation, banking, social media and more. The document also discusses philosophical questions around AI's impact on jobs and possibility of surpassing humans. It concludes we should focus on creating devices to perform specific tasks rather than aiming for a single system superior to humans in all ways.
1. Introduction
2. How AI originated
3. Interesting facts about AI
4. Real-life application of AI
5. AI tools
6. Something special
7. Limitations of AI
8. Conclusion
AI in Manufacturing: Opportunities & ChallengesTathagat Varma
AI has significant potential to create value in manufacturing through operational performance improvements, workforce augmentation, and sustainability gains. However, manufacturers often struggle to realize this value due to challenges such as a mismatch between AI capabilities and operational needs, a lack of strategic leadership and communication, insufficient cross-functional skills, and issues with data availability and governance. Addressing these adoption challenges will be key to unlocking the full promise of AI in manufacturing.
Artificial Intelligence and Machine Learning Aditya Singh
Presented By JBIMS Marketting Batch (2017-2020).
Application Artificial Intelligence in MIS(Management Information System). Presented By Trilok Prabhakaran , Aditya Singh , Shashi Yadav, Vaibhav Rokade. Presentation have live cases of two different industry.
This presentation discusses the role of artificial intelligence (AI) across various technologies. It provides examples of how AI is used in astrophysics to analyze telescope images, in health care to assist doctors with diagnostics, in finance to manage investments, in gaming to power non-player characters, in robotics to give robots senses and motion control, and in automotives for driver-assistance features and autonomous vehicles. The presentation highlights several companies and projects utilizing AI, such as NASA using AI to design telescope components, Anthropic's conversational AI assistant Replika, and Tesla's autonomous driving capabilities.
This Provides the Adequate knowledge on Artificial Intelligence (AI). It contains all the design issues to be kept in mind for a new designer of AI with different approaches. Also there are many more applications than specified.. Also for some typical terms pl go through note under the slide which helps in understanding the terms in the slide
Also this PPT is very useful for the students or professors who working on machine learning or AI... As both are go on parallel lines.. after referring to this ppt you may get a clear idea about what is AI and how it is Developed
Artificial Intelligence and Socially Empathetic Robotsclairey08
The document discusses artificial intelligence and social aspects of robotics. It describes Zeno, an interactive robotic companion that can engage in conversation and convey emotion. It also discusses the "uncanny valley" theory that robots made to look very human can seem grotesque. The document outlines the KISMET robot project which aims to develop robots that can interact cooperatively with humans. It raises questions about whether AI machines could replace humans in the workplace and how to ensure their safe and reliable operation according to programming.
The Best Way To Teach Students Paragraph WritinJill Crawford
The document discusses academic research on resistance to change in the public and private sectors. It focuses on the causes of resistance to change emerging within organizations. The dissertation will review this research and give special attention to writings that analyze why resistance occurs in response to proposed changes.
Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
What is Continuous Testing in DevOps - A Definitive Guide.pdfkalichargn70th171
Once an overlooked aspect, continuous testing has become indispensable for enterprises striving to accelerate application delivery and reduce business impacts. According to a Statista report, 31.3% of global enterprises have embraced continuous integration and deployment within their DevOps, signaling a pervasive trend toward hastening release cycles.
Cognitive computing aims to mimic the human brain by understanding natural language, learning from experience, and providing contextualized answers rather than single right answers. Systems like IBM Watson learn from massive amounts of data using techniques like deep question answering. While artificial intelligence research seeks to match human abilities, there is also concern that superintelligent systems may not share human values and could rapidly self-improve beyond human control, potentially threatening humanity.
This document provides a summary of the book "Intelligent Automation - Learn How to Harness Artificial Intelligence to Boost Business & Make Our World More Human". The book was published in October 2020 and has received over 16,546 reads on ResearchGate. It was authored by Pascal Bornet, Ian Barkin, and Jochen Wirtz. The book provides a pragmatic and action-oriented guide for organizations to transform their operations through the use of hyperautomation, which leverages artificial intelligence and automation technologies. It also discusses the impact of automation and AI on work, society, and the world. The book aims to help leaders understand and maximize the benefits of intelligent automation.
My Trip Experience Essay In 2021 Essay, DissertationShannon Joy
The document provides instructions for requesting writing assistance from the HelpWriting.net website. It outlines a 5-step process: 1) Create an account with a password and email, 2) Complete an order form with instructions, sources and deadline, 3) Review bids from writers and select one, 4) Review the completed paper and authorize payment, 5) Request revisions until satisfied. The purpose is to help students obtain original, high-quality content for their assignments through this online writing assistance service.
The document provides an introduction to knowledge graphs. It discusses how knowledge graphs are being used by large enterprises and intelligent agents to capture concepts, entities, and relationships within domains to drive business, generate insights, and enhance relationships. The presentation will cover an overview of what knowledge graphs are, who uses them, why they are used, and how to use them. It then provides some examples of how knowledge graphs are applied, including in intelligent agents, semantic web, search engines, social networks, biology, enterprise knowledge management, and more.
This document presents an overview of artificial intelligence. It discusses the history of AI from Aristotle to modern times. Key topics covered include the limitations of human mind, robotics, applications of AI in various fields, and advantages and disadvantages of AI. The document concludes by discussing the idea of artificial life and the requirement for life to have a physical form.
Content Creation and Social Media Tools for LibrariesBrian Pichman
Discover the transformative role of Artificial Intelligence in shaping content creation and social media engagement within library environments. This presentation explores how AI-driven tools are revolutionizing the way libraries share information, curate content, and connect with their communities. Explore practical applications of AI in generating personalized content, automating social media interactions, and enhancing user engagement, all while maintaining the unique character of library services.
Key Points:
Tailoring library content through AI: Customized reading recommendations, curated lists, and more.
Amplifying outreach with AI-powered social media strategies, boosting community interaction.
Ethical considerations in AI-generated content for libraries: Striking the right balance.
Real-world examples of successful AI-driven library campaigns that foster engagement.
Collaborative possibilities: How libraries can work with AI to enhance user experiences.
Future prospects: Navigating the evolving landscape of AI and its integration in library services.
This document provides an overview of artificial intelligence, including its definition, goals, types (strong vs weak AI), history, advantages, disadvantages, real-life applications, and future. It defines AI as systems that mimic human intelligence to perform tasks and improve over time. The goals of AI are to create expert systems and implement human intelligence in machines. Real-life applications discussed include speech recognition, face recognition, AI in gaming, and robotics. The future of AI may include reaching human levels in specific tasks, replacing all human jobs, becoming fully autonomous, and potential mind uploading.
Cognitive Computing and the future of Artificial IntelligenceVarun Singh
This document discusses cognitive computing and artificial intelligence. It defines cognitive computing as systems that learn from experience and instructions to mimic human cognition by synthesizing information, finding patterns rather than exact answers, and interacting naturally with humans. Specific examples discussed are IBM's Watson, which uses natural language processing and machine learning to answer questions and make complex decisions from vast amounts of data. The document also discusses concerns about the future risks of artificial intelligence, such as superintelligent systems that humans may not be able to control and could ultimately replace humans.
Swarm intelligence is the collective behavior of decentralized, self-organized systems, whether natural or artificial. It is used in artificial intelligence research. A swarm of robots could work similarly to an ant colony, with each following simple rules leading to self-organization and task completion without direct communication. Researchers have used swarms of simple robots to spell words and play piano through position-based algorithms. Swarm intelligence is also applied to fields like robotics, staff scheduling, and entertainment.
The document provides an acknowledgement for a school project. It thanks the teacher, Miss Arjita Banerjee, for guiding the project. It also thanks fellow classmates for their assistance, even though it was not their responsibility. The acknowledgement expresses gratitude to all involved for helping make the project meaningful and interesting.
This document provides an overview of artificial intelligence, including definitions, history, and types. It defines AI as systems that can interpret data, learn from it, and achieve goals through adaptation like humans. The concepts of AI emerged in the 1950s from scientists like Turing who explored the possibility of machine intelligence. Modern AI uses machine learning, deep learning, and neural networks to analyze data and make predictions. AI is being applied in many areas like transportation, banking, social media and more. The document also discusses philosophical questions around AI's impact on jobs and possibility of surpassing humans. It concludes we should focus on creating devices to perform specific tasks rather than aiming for a single system superior to humans in all ways.
1. Introduction
2. How AI originated
3. Interesting facts about AI
4. Real-life application of AI
5. AI tools
6. Something special
7. Limitations of AI
8. Conclusion
AI in Manufacturing: Opportunities & ChallengesTathagat Varma
AI has significant potential to create value in manufacturing through operational performance improvements, workforce augmentation, and sustainability gains. However, manufacturers often struggle to realize this value due to challenges such as a mismatch between AI capabilities and operational needs, a lack of strategic leadership and communication, insufficient cross-functional skills, and issues with data availability and governance. Addressing these adoption challenges will be key to unlocking the full promise of AI in manufacturing.
Artificial Intelligence and Machine Learning Aditya Singh
Presented By JBIMS Marketting Batch (2017-2020).
Application Artificial Intelligence in MIS(Management Information System). Presented By Trilok Prabhakaran , Aditya Singh , Shashi Yadav, Vaibhav Rokade. Presentation have live cases of two different industry.
This presentation discusses the role of artificial intelligence (AI) across various technologies. It provides examples of how AI is used in astrophysics to analyze telescope images, in health care to assist doctors with diagnostics, in finance to manage investments, in gaming to power non-player characters, in robotics to give robots senses and motion control, and in automotives for driver-assistance features and autonomous vehicles. The presentation highlights several companies and projects utilizing AI, such as NASA using AI to design telescope components, Anthropic's conversational AI assistant Replika, and Tesla's autonomous driving capabilities.
This Provides the Adequate knowledge on Artificial Intelligence (AI). It contains all the design issues to be kept in mind for a new designer of AI with different approaches. Also there are many more applications than specified.. Also for some typical terms pl go through note under the slide which helps in understanding the terms in the slide
Also this PPT is very useful for the students or professors who working on machine learning or AI... As both are go on parallel lines.. after referring to this ppt you may get a clear idea about what is AI and how it is Developed
Artificial Intelligence and Socially Empathetic Robotsclairey08
The document discusses artificial intelligence and social aspects of robotics. It describes Zeno, an interactive robotic companion that can engage in conversation and convey emotion. It also discusses the "uncanny valley" theory that robots made to look very human can seem grotesque. The document outlines the KISMET robot project which aims to develop robots that can interact cooperatively with humans. It raises questions about whether AI machines could replace humans in the workplace and how to ensure their safe and reliable operation according to programming.
The Best Way To Teach Students Paragraph WritinJill Crawford
The document discusses academic research on resistance to change in the public and private sectors. It focuses on the causes of resistance to change emerging within organizations. The dissertation will review this research and give special attention to writings that analyze why resistance occurs in response to proposed changes.
Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
What is Continuous Testing in DevOps - A Definitive Guide.pdfkalichargn70th171
Once an overlooked aspect, continuous testing has become indispensable for enterprises striving to accelerate application delivery and reduce business impacts. According to a Statista report, 31.3% of global enterprises have embraced continuous integration and deployment within their DevOps, signaling a pervasive trend toward hastening release cycles.
Software Test Automation - A Comprehensive Guide on Automated Testing.pdfkalichargn70th171
Moving to a more digitally focused era, the importance of software is rapidly increasing. Software tools are crucial for upgrading life standards, enhancing business prospects, and making a smart world. The smooth and fail-proof functioning of the software is very critical, as a large number of people are dependent on them.
Superpower Your Apache Kafka Applications Development with Complementary Open...Paul Brebner
Kafka Summit talk (Bangalore, India, May 2, 2024, https://events.bizzabo.com/573863/agenda/session/1300469 )
Many Apache Kafka use cases take advantage of Kafka’s ability to integrate multiple heterogeneous systems for stream processing and real-time machine learning scenarios. But Kafka also exists in a rich ecosystem of related but complementary stream processing technologies and tools, particularly from the open-source community. In this talk, we’ll take you on a tour of a selection of complementary tools that can make Kafka even more powerful. We’ll focus on tools for stream processing and querying, streaming machine learning, stream visibility and observation, stream meta-data, stream visualisation, stream development including testing and the use of Generative AI and LLMs, and stream performance and scalability. By the end you will have a good idea of the types of Kafka “superhero” tools that exist, which are my favourites (and what superpowers they have), and how they combine to save your Kafka applications development universe from swamploads of data stagnation monsters!
Building API data products on top of your real-time data infrastructureconfluent
This talk and live demonstration will examine how Confluent and Gravitee.io integrate to unlock value from streaming data through API products.
You will learn how data owners and API providers can document, secure data products on top of Confluent brokers, including schema validation, topic routing and message filtering.
You will also see how data and API consumers can discover and subscribe to products in a developer portal, as well as how they can integrate with Confluent topics through protocols like REST, Websockets, Server-sent Events and Webhooks.
Whether you want to monetize your real-time data, enable new integrations with partners, or provide self-service access to topics through various protocols, this webinar is for you!
How GenAI Can Improve Supplier Performance Management.pdfZycus
Data Collection and Analysis with GenAI enables organizations to gather, analyze, and visualize vast amounts of supplier data, identifying key performance indicators and trends. Predictive analytics forecast future supplier performance, mitigating risks and seizing opportunities. Supplier segmentation allows for tailored management strategies, optimizing resource allocation. Automated scorecards and reporting provide real-time insights, enhancing transparency and tracking progress. Collaboration is fostered through GenAI-powered platforms, driving continuous improvement. NLP analyzes unstructured feedback, uncovering deeper insights into supplier relationships. Simulation and scenario planning tools anticipate supply chain disruptions, supporting informed decision-making. Integration with existing systems enhances data accuracy and consistency. McKinsey estimates GenAI could deliver $2.6 trillion to $4.4 trillion in economic benefits annually across industries, revolutionizing procurement processes and delivering significant ROI.
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
Penify - Let AI do the Documentation, you write the Code.KrishnaveniMohan1
Penify automates the software documentation process for Git repositories. Every time a code modification is merged into "main", Penify uses a Large Language Model to generate documentation for the updated code. This automation covers multiple documentation layers, including InCode Documentation, API Documentation, Architectural Documentation, and PR documentation, each designed to improve different aspects of the development process. By taking over the entire documentation process, Penify tackles the common problem of documentation becoming outdated as the code evolves.
https://www.penify.dev/
Secure-by-Design Using Hardware and Software Protection for FDA ComplianceICS
This webinar explores the “secure-by-design” approach to medical device software development. During this important session, we will outline which security measures should be considered for compliance, identify technical solutions available on various hardware platforms, summarize hardware protection methods you should consider when building in security and review security software such as Trusted Execution Environments for secure storage of keys and data, and Intrusion Detection Protection Systems to monitor for threats.
Photoshop Tutorial for Beginners (2024 Edition)alowpalsadig
Photoshop Tutorial for Beginners (2024 Edition)
Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."
Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
Photoshop Tutorial for Beginners (2024 Edition)Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
The importance of developing and designing programming in 2024
Programming design and development represents a vital step in keeping pace with technological advancements and meeting ever-changing market needs. This course is intended for anyone who wants to understand the fundamental importance of software development and design, whether you are a beginner or a professional seeking to update your knowledge.
Course objectives:
1. **Learn about the basics of software development:
- Understanding software development processes and tools.
- Identify the role of programmers and designers in software projects.
2. Understanding the software design process:
- Learn about the principles of good software design.
- Discussing common design patterns such as Object-Oriented Design.
3. The importance of user experience (UX) in modern software:
- Explore how user experience can improve software acceptance and usability.
- Tools and techniques to analyze and improve user experience.
4. Increase efficiency and productivity through modern development tools:
- Access to the latest programming tools and languages used in the industry.
- Study live examples of applications
Enhanced Screen Flows UI/UX using SLDS with Tom KittPeter Caitens
Join us for an engaging session led by Flow Champion, Tom Kitt. This session will dive into a technique of enhancing the user interfaces and user experiences within Screen Flows using the Salesforce Lightning Design System (SLDS). This technique uses Native functionality, with No Apex Code, No Custom Components and No Managed Packages required.
14 th Edition of International conference on computer visionShulagnaSarkar2
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
Nomination are Open!! Don't Miss it
Visit: computer.scifat.com
Award Nomination: https://x-i.me/ishnom
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The Comprehensive Guide to Validating Audio-Visual Performances.pdfkalichargn70th171
Ensuring the optimal performance of your audio-visual (AV) equipment is crucial for delivering exceptional experiences. AV performance validation is a critical process that verifies the quality and functionality of your AV setup. Whether you're a content creator, a business conducting webinars, or a homeowner creating a home theater, validating your AV performance is essential.
WMF 2024 - Unlocking the Future of Data Powering Next-Gen AI with Vector Data...Luigi Fugaro
Vector databases are transforming how we handle data, allowing us to search through text, images, and audio by converting them into vectors. Today, we'll dive into the basics of this exciting technology and discuss its potential to revolutionize our next-generation AI applications. We'll examine typical uses for these databases and the essential tools
developers need. Plus, we'll zoom in on the advanced capabilities of vector search and semantic caching in Java, showcasing these through a live demo with Redis libraries. Get ready to see how these powerful tools can change the game!
Orca: Nocode Graphical Editor for Container OrchestrationPedro J. Molina
Tool demo on CEDI/SISTEDES/JISBD2024 at A Coruña, Spain. 2024.06.18
"Orca: Nocode Graphical Editor for Container Orchestration"
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Visual testing plays a vital role in ensuring that software products meet the aesthetic requirements specified by clients in functional and non-functional specifications. In today's highly competitive digital landscape, users expect a seamless and visually appealing online experience. Visual testing, also known as automated UI testing or visual regression testing, verifies the accuracy of the visual elements that users interact with.
2. GROUP MEMBERS
• NOOR UL IMAN COMP.SC 18039
• SARAH NASIR COMP.SC 18040
• TAYYABA FATIMA COMP.SC 18029
3. Inspired by the 200th anniversary of Shelley’s seminal text, this participatory
installation explores our relationship to the ubiquitous and emerging technology
of artificial intelligence. Participants are prompted to reveal their memories,
emotions, fears, and hopes to an AI while it attempts to learn about humanity
from those who participate.
Frankenstein AI:
A Monster Made by Many
4. • Frankenstein AI is
meant to provoke
conversation and
exploration around AI,
allowing us to build an
algorithm powered by
emotional data.
Frankenstein AI is meant to provoke conversation and
exploration around AI, allowing us to build an algorithm
powered by emotional data.
5. Mary Shelley, Frankenstein
“Learn from me, if not by my precepts, at least by my
example, how dangerous is the acquirement of
knowledge, and how much happier that man is who
believes his native town to be his world, than he who
aspires to become greater than his nature will allow.”
― Mary Shelley, Frankenstein
Frankenstein AI: a monster made by many reimagines
Shelley’s seminal work through the lens of a naive,
emotional, and highly intelligent “life form” – an AI.
Rather than taking a dystopian perspective on this
rapidly emerging technology, Frankenstein AI brings
participants into a narrativized world where the AI
recognizes its need to better understand humans, in
its desire to connect authentically with them.
6. Mary Shelley, Frankenstein
So, what can leaders do in advance to prevent or at least limit the
Frankenstein’s monster effect?
• Identify how an intelligent robot-assisted workforce could
benefit the business and build an AI-human collaboration
strategy with clearly defined roles, responsibilities and
governance structures
• Thoroughly train staff in unconscious bias (towards robots)
• Consider and clearly articulate to human staff the ‘rights’ of
AI-enabled robots
• Set clear goals and reward human workers’ contributions to
collaborative efforts with robots
• Establish robust disciplinary measures to ensure human
behavior towards intelligent robots is properly managed.
AREA : ROBOTICS
7. Robotics is a branch of AI, which is composed of
Electrical Engineering, Mechanical Engineering,
and Computer Science for designing,
construction, and application of robots.
Aspects of Robotics
• The robots have mechanical construction,
form, or shape designed to accomplish a
particular task.
• They have electrical components which
power and control the machinery.
• They contain some level of computer
program that determines what, when and
how a robot does something.