Jim Spohrer discusses service innovation roadmaps and responsible entities learning in an AI era. He notes that service science focuses on transforming responsible entities like people, businesses, and nations to apply knowledge for mutual benefit, while AI focuses on automating tasks. Spohrer advocates for service innovation roadmaps to help responsible entities learn and become better versions of themselves through running existing practices, transforming by adopting new best practices, and innovating to create new best practices.
Computer Science
Active and Programmable Networks
Active safety systems
Ad Hoc & Sensor Network
Ad hoc networks for pervasive communications
Adaptive, autonomic and context-aware computing
Advance Computing technology and their application
Advanced Computing Architectures and New Programming Models
Advanced control and measurement
Aeronautical Engineering,
Agent-based middleware
Alert applications
Automotive, marine and aero-space control and all other control applications
Autonomic and self-managing middleware
Autonomous vehicle
Biochemistry
Bioinformatics
BioTechnology(Chemistry, Mathematics, Statistics, Geology)
Broadband and intelligent networks
Broadband wireless technologies
CAD/CAM/CAT/CIM
Call admission and flow/congestion control
Capacity planning and dimensioning
Changing Access to Patient Information
Channel capacity modelling and analysis
Civil Engineering,
Cloud Computing and Applications
Collaborative applications
Communication application
Communication architectures for pervasive computing
Communication systems
Computational intelligence
Computer and microprocessor-based control
Computer Architecture and Embedded Systems
Computer Business
Computer Sciences and Applications
Computer Vision
Computer-based information systems in health care
Computing Ethics
Computing Practices & Applications
Congestion and/or Flow Control
Content Distribution
Context-awareness and middleware
Creativity in Internet management and retailing
Cross-layer design and Physical layer based issue
Cryptography
Data Base Management
Data fusion
Data Mining
Data retrieval
Data Storage Management
Decision analysis methods
Decision making
Digital Economy and Digital Divide
Digital signal processing theory
Distributed Sensor Networks
Drives automation
Drug Design,
Drug Development
DSP implementation
E-Business
E-Commerce
E-Government
Electronic transceiver device for Retail Marketing Industries
Electronics Engineering,
Embeded Computer System
Emerging advances in business and its applications
Emerging signal processing areas
Enabling technologies for pervasive systems
Energy-efficient and green pervasive computing
Environmental Engineering,
Estimation and identification techniques
Evaluation techniques for middleware solutions
Event-based, publish/subscribe, and message-oriented middleware
Evolutionary computing and intelligent systems
Expert approaches
Facilities planning and management
Flexible manufacturing systems
Formal methods and tools for designing
Fuzzy algorithms
Fuzzy logics
GPS and location-based app
The document discusses human robot interaction. It begins with an introduction that defines human robot interaction and discusses remote and proximate interaction. The literature survey section then summarizes research on robots in healthcare, acceptance issues, autonomous vehicles, interactive robots, and brain computer interfaces. The document also outlines advantages like performing dangerous tasks, disadvantages like costs, and applications in areas like search and rescue. It concludes by discussing challenges in developing acceptable and comfortable human-robot interaction.
Human–robot interaction is the study of interactions between humans and robots. It is often referred as HRI by researchers. Human–robot interaction is a multidisciplinary field with contributions from human–computer interaction, artificial intelligence, robotics, natural language understanding, design, and social sciences.
An Implementation of Voice Assistant for Hospitalitysipij
Voice user interface has gained popularity in the recent years. A chatbot is a machine with the ability to answer automatically through a conversational interface. Instead of using mouse and keyboards as input and screen as output, a chatbot with extra voice user interface feature improve the system and enhance the user experience. A chatbot is considered as one of the most exceptional and promising expressions of human computer interaction. Voice-based chatbots or artificial intelligence (AI) devices transform humancomputer bidirectional interactions that allow users to navigate an interactive voice response (IVR) system with their voice generally using natural language. In this paper, we focus on voice based chatbots for mediating interactions between hotels and guests from both the hospitality technology providers’ and guests’ perspectives. A hotel web application with voice user interface was implemented which provides voice input/output interface to enhance the user experience. Speech recognition component was used to dictate the user voice input to text. Speech synthesis API was used for text to voice conversion. A closed domain question answering (cdQA) Natural Language Processing (NLP) solution was used for processingof query and return the best answer possible.
An Implementation of Voice Assistant for Hospitalitysipij
This document describes a voice assistant chatbot that was implemented for the hospitality industry. It uses speech recognition to convert voice input to text, then processes the text using natural language processing to determine the best response. A closed domain question answering approach is used. The system was trained on data related to hotel websites to enable it to answer questions about hospitality domains. The document provides details on the system components and technologies used, such as deep speech for speech recognition and various text-to-speech APIs for generating voice responses.
Jim Spohrer discusses service innovation roadmaps and responsible entities learning in an AI era. He notes that service science focuses on transforming responsible entities like people, businesses, and nations to apply knowledge for mutual benefit, while AI focuses on automating tasks. Spohrer advocates for service innovation roadmaps to help responsible entities learn and become better versions of themselves through running existing practices, transforming by adopting new best practices, and innovating to create new best practices.
Computer Science
Active and Programmable Networks
Active safety systems
Ad Hoc & Sensor Network
Ad hoc networks for pervasive communications
Adaptive, autonomic and context-aware computing
Advance Computing technology and their application
Advanced Computing Architectures and New Programming Models
Advanced control and measurement
Aeronautical Engineering,
Agent-based middleware
Alert applications
Automotive, marine and aero-space control and all other control applications
Autonomic and self-managing middleware
Autonomous vehicle
Biochemistry
Bioinformatics
BioTechnology(Chemistry, Mathematics, Statistics, Geology)
Broadband and intelligent networks
Broadband wireless technologies
CAD/CAM/CAT/CIM
Call admission and flow/congestion control
Capacity planning and dimensioning
Changing Access to Patient Information
Channel capacity modelling and analysis
Civil Engineering,
Cloud Computing and Applications
Collaborative applications
Communication application
Communication architectures for pervasive computing
Communication systems
Computational intelligence
Computer and microprocessor-based control
Computer Architecture and Embedded Systems
Computer Business
Computer Sciences and Applications
Computer Vision
Computer-based information systems in health care
Computing Ethics
Computing Practices & Applications
Congestion and/or Flow Control
Content Distribution
Context-awareness and middleware
Creativity in Internet management and retailing
Cross-layer design and Physical layer based issue
Cryptography
Data Base Management
Data fusion
Data Mining
Data retrieval
Data Storage Management
Decision analysis methods
Decision making
Digital Economy and Digital Divide
Digital signal processing theory
Distributed Sensor Networks
Drives automation
Drug Design,
Drug Development
DSP implementation
E-Business
E-Commerce
E-Government
Electronic transceiver device for Retail Marketing Industries
Electronics Engineering,
Embeded Computer System
Emerging advances in business and its applications
Emerging signal processing areas
Enabling technologies for pervasive systems
Energy-efficient and green pervasive computing
Environmental Engineering,
Estimation and identification techniques
Evaluation techniques for middleware solutions
Event-based, publish/subscribe, and message-oriented middleware
Evolutionary computing and intelligent systems
Expert approaches
Facilities planning and management
Flexible manufacturing systems
Formal methods and tools for designing
Fuzzy algorithms
Fuzzy logics
GPS and location-based app
The document discusses human robot interaction. It begins with an introduction that defines human robot interaction and discusses remote and proximate interaction. The literature survey section then summarizes research on robots in healthcare, acceptance issues, autonomous vehicles, interactive robots, and brain computer interfaces. The document also outlines advantages like performing dangerous tasks, disadvantages like costs, and applications in areas like search and rescue. It concludes by discussing challenges in developing acceptable and comfortable human-robot interaction.
Human–robot interaction is the study of interactions between humans and robots. It is often referred as HRI by researchers. Human–robot interaction is a multidisciplinary field with contributions from human–computer interaction, artificial intelligence, robotics, natural language understanding, design, and social sciences.
An Implementation of Voice Assistant for Hospitalitysipij
Voice user interface has gained popularity in the recent years. A chatbot is a machine with the ability to answer automatically through a conversational interface. Instead of using mouse and keyboards as input and screen as output, a chatbot with extra voice user interface feature improve the system and enhance the user experience. A chatbot is considered as one of the most exceptional and promising expressions of human computer interaction. Voice-based chatbots or artificial intelligence (AI) devices transform humancomputer bidirectional interactions that allow users to navigate an interactive voice response (IVR) system with their voice generally using natural language. In this paper, we focus on voice based chatbots for mediating interactions between hotels and guests from both the hospitality technology providers’ and guests’ perspectives. A hotel web application with voice user interface was implemented which provides voice input/output interface to enhance the user experience. Speech recognition component was used to dictate the user voice input to text. Speech synthesis API was used for text to voice conversion. A closed domain question answering (cdQA) Natural Language Processing (NLP) solution was used for processingof query and return the best answer possible.
An Implementation of Voice Assistant for Hospitalitysipij
This document describes a voice assistant chatbot that was implemented for the hospitality industry. It uses speech recognition to convert voice input to text, then processes the text using natural language processing to determine the best response. A closed domain question answering approach is used. The system was trained on data related to hotel websites to enable it to answer questions about hospitality domains. The document provides details on the system components and technologies used, such as deep speech for speech recognition and various text-to-speech APIs for generating voice responses.
Being human (Human Computer Interaction)Rahul Singh
The presentation describes the increasing dependence of the human kind on the Computer systems. The increased variable usage of the machine and much more.
This document discusses artificial intelligence and its role in the metaverse. It begins by introducing key terms related to the metaverse like virtual reality, augmented reality, blockchain, and AI. It then discusses several technical aspects of the metaverse that AI can enhance, such as natural language processing, machine vision, blockchain, networking, digital twins, and neural interfaces. It also provides an overview of the economic system of the metaverse and how it differs from the conventional economy. Finally, it discusses challenges to developing AI for the metaverse, such as limited training data for image and video understanding.
Multimodal and Affective Human Computer Interaction - Abhinav SharmaAbhinav Sharma
This document discusses human-computer interaction and related topics such as multimodal and affective HCI. It begins with an introduction to the history and development of HCI. It then discusses more recent developments like touch interfaces, voice assistants, and consistent cross-device experiences. Two areas of interest in HCI are identified as multimodal interaction using multiple modes like voice and touch simultaneously, and affective HCI which aims to understand human emotions during interaction. Several research papers are summarized that explore topics like the definitions of multimodal HCI, challenges and opportunities it presents, as well as efforts in the field of automatic emotion recognition in HCI. Overall issues discussed include how to design more natural and seamless multimodal experiences, and how
Case study 6 chapter 111. 2. Answer the Case Study Questions (.docxwendolynhalbert
This document discusses a case study on the increasing use of robots in manufacturing. It notes that robots are becoming more advanced, capable of working alongside humans without endangering them. They can assemble a variety of objects from aircraft engines to smartphones. However, robots still lack the flexibility and dexterity of humans. While they are good at repetitive tasks, they cannot adapt well or handle high levels of product customization like those demanded by Mercedes customers. As robots continue advancing, manufacturing jobs performed by humans will become more complex, requiring workers to supervise and program robots.
It my pleasure to be with you all today – thanks to my host for the opportunity to speak with you all today.
Host: Leonard Walletzky <qwalletz@fi.muni.cz> (https://www.linkedin.com/in/leonardwalletzky/) +420 549 49 7690
Google Scholar: https://scholar.google.com/citations?user=aUvbsmwAAAAJ&hl=cs
Katrina Motkova (https://www.linkedin.com/in/kateřina-moťková-mba-a964a3175/en/?originalSubdomain=cz)
Speaker: Jim Spohrer <spohrer@gmail.com> (https://www.linkedin.com/in/spohrer/) +1-408-829-3112
I am Jim Spohrer, a retired Apple and IBM Executive, and currently a UIDP Senior Fellow, on the Board of Directors of ISSIP and ServCollab.
I am retired, meaning my primary activities are family-oriented – families are the oldest and most important type of service systems
I volunteer to help non-profits, mentor students, professionals, and retiree (some in retirement communities where the average age is 85) on AI & service science
My hobbies are hiking, reading, programming, and building my AI digital twin and humanoid robots for maintaining farms and farming equipment.
My hobbies are also trying to understand as much as I can about the system called the universe and mult-verse, and robots to rapidly rebuild civilization including themselves from scratch.
2001 - Nonzero: The Logic of Human Desitiny (Wright) - https://en.wikipedia.org/wiki/Nonzero:_The_Logic_of_Human_Destiny
2015 - Geek Heresy: Rescuing Social Change from the Cult of Technology - https://www.amazon.com/Geek-Heresy-Rescuing-Social-Technology/dp/161039528X
2021 - Humankind: A Hopeful History (Bregman) - https://en.wikipedia.org/wiki/Humankind:_A_Hopeful_History
Humankind - https://www.amazon.com/Humankind-Hopeful-History-Rutger-Bregman/dp/0316418536
Humankind Book Review - https://service-science.info/archives/5654
2022 - Service in the AI Era: Science, Logic, and Architecture Perspectives (2022) by Spohrer, Maglio, Vargo, Warg - https://www.amazon.com/Service-AI-Era-Architecture-Perspectives/dp/1637423039
2023 - Design for a Better World: Meaningful, Sustainable, Humanity-Centered (2023) by Don Norman - https://www.amazon.com/Design-Better-World-Meaningful-Sustainable/dp/0262047950/
The document discusses the development of a wireless pick and place robot. It aims to remove limitations of non-wireless robots by developing a system where a pick and place robot with 5 degrees of movement controlled by servo motors and an Arduino/Raspberry Pi board can operate freely without wires at any location. The robot will be designed to be compact, usable, affordable and help automate regular tasks like picking and placing to save human effort. Components will be selected and the robot will be fabricated, assembled and programmed using Arduino and Python to be controlled by a computer.
Universal usability refers to designing technology that is usable by all citizens without adaptation. It is important for both developers and users. For developers, it means using simple development processes and tools that most team members can use. For users, it means considering factors like age, cognitive and motor skills, social and physical limitations to make technologies accessible to people of all backgrounds. Achieving true universal usability is challenging but important to maximize the number of people who can benefit from new technologies.
Jim Spohrer was invited to be a panelist for John Hagel's presentation at the Fall 2021 Berkeley Innovation Forum. Spohrer recommends the book "Humankind: A Hopeful History" by Rutger Bregman. He notes his experience at IBM of facing fears of product to service and proprietary to open source transformations, which led IBM to acquire Red Hat for $34B and spin off Kyndryl. Spohrer serves on the board of ISSIP.org and is a retired IBM executive focusing his studies on service science and open source AI, where trust is key.
HCI means Human Computer Interaction...This paper on HCI gives you a fair detail of what HCI is and we have presented you with our ideas and insights....Walk into the future with HCI .
Artificial Intelligence Approach for Covid Period StudyPalIRJET Journal
The document proposes the development of an AI chatbot named StudyPal that can serve as a virtual tutor for students. StudyPal would use techniques like active recall and mind mapping to teach students curriculum content for their grade and subject without needing an in-person teacher. The goal is for StudyPal to provide individualized attention to effectively communicate concepts to each student. StudyPal would be created using a federated learning model to maintain data privacy and address issues with internet connectivity. The document outlines the proposed design and development process for StudyPal.
The Chatbot Imperative: Intelligence, Personalization and Utilitarian DesignCognizant
To boost business outcomes and deliver superior experiences, chatbots must quickly deliver responses that speak directly to individual human needs and apply meaningful responses to evolving requirements over time.
Emotional intelligence and artificial intelligence (A comparative analysis)Rumbidzai Faith Matanga
The document discusses a seminar paper on a comparative analysis of emotional intelligence and artificial intelligence. It outlines the objectives of analyzing whether the two are complementary and which is more relevant today. It discusses how each have distinct functions, with emotional intelligence giving humans abilities like empathy that AI currently lacks. The implications are that AI may replace some jobs but emotional skills will remain important. It suggests cultivating creativity and human qualities rather than focusing on skills that computers can replace.
The document discusses how manufacturers can develop strategies for human and robotic workers to collaborate effectively. It argues that to maximize productivity, these strategies need to incorporate design thinking, studies of human behavior, and partner ecosystems. The strategies should rethink workflows for how humans and robots can complement each other's strengths. This will allow manufacturers to gain unprecedented levels of productivity, innovation, and cost advantages from their human-robot workforces.
Novel model to identify the success factors in marketing by social mediaDr Karunakar Diwakar Jha
This document presents a novel model for identifying success factors in marketing through social media. It begins with an abstract discussing how social media allows companies to understand customer needs and establish relationships. It then discusses developing a model based on security, attractive content, reputation, interaction, and communication. The document provides context on the evolution and types of social media, how different age groups use it, and goals of social media marketing. It compares traditional and social media marketing approaches. Finally, it discusses the four pillars of social media marketing as read, create, share, and discuss content.
IOT/IOP Dalam Pengurusan oleh Dr. Zahrah MokhtarPersatuan Uitm
Pembentangan IOT/IOP Dalam Pengurusan oleh Dr. Zahrah Mokhtar, Mantan Pendaftar UiTM pada Seminar Pengurusan Pentadbir (SePP) 2019 anjuran Anjuran Persatuan Pentadbir UiTM di ILD Bandar Enstek, Negeri Sembilan pada 22 - 24 Disember 2019
Objektif Seminar SePP 2019
1. Menjelaskan dan menerapkan teknik pembentukan dan pelaksanaan Pengurusan Tangkas.
2. Menjelaskan manfaat Internet of Thing (IoT)/Internet of People (IoP) dalam pengurusan.
3. Merealisasikan minda Cepat, Tepat dan Integriti (CTI) - Produktiviti, Kreatviti dan Inovasi (PCI).
4. Mempelajari teknik mengurus imej penampilan profesional serta penekanan dalam tatacara beretika dan adab dalam tugasan dan dalam setiap acara dan urusan.
5. Mempelajari teknik penyampaian dan komunikasi berkesan.
read more
http://ppuitmsa.blogspot.com/2019/11/seminar-pengurusan-pentadbir-2019.html
Ju-Chun Ko received his Ph.D. in Computer Science from National Taiwan University in 2012, with a background in digital media design. He co-founded an app company called Linkwish and organized developer workshops in Taiwan. Ko has received awards for his interactive works combining art and technology and has served as a consultant for the Taiwanese government. He is currently fulfilling his military service in Taiwan and is open to job and academic opportunities abroad after November 2013.
Artificial intelligence and it's future of workIdcIdk1
Artificial intelligence (AI) involves developing algorithms and computer programs that can perform human-like tasks such as visual perception and speech. AI technologies include machine learning, natural language processing, computer vision, robotics, and neural networks. AI is already widely used and is expected to further transform many industries and jobs. While AI may replace some roles like drivers and receptionists, it will also create new jobs related to developing, training, and overseeing AI systems to ensure they are helpful, harmless, and honest. There are risks associated with AI like job losses, lack of data privacy, and potential use by hackers, so it is important to guide the development of beneficial AI.
Everything You Know About Chatbots with Conversational AI.pptxMeon TECHNOLOGIES
In recent years, there has been a paradigm shift in communication due to the introduction of chatbots powered by Conversational AI. These sophisticated solutions, which provide a tailored and effective way of consumer connection, have completely changed the way organizations deal with their customers.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Being human (Human Computer Interaction)Rahul Singh
The presentation describes the increasing dependence of the human kind on the Computer systems. The increased variable usage of the machine and much more.
This document discusses artificial intelligence and its role in the metaverse. It begins by introducing key terms related to the metaverse like virtual reality, augmented reality, blockchain, and AI. It then discusses several technical aspects of the metaverse that AI can enhance, such as natural language processing, machine vision, blockchain, networking, digital twins, and neural interfaces. It also provides an overview of the economic system of the metaverse and how it differs from the conventional economy. Finally, it discusses challenges to developing AI for the metaverse, such as limited training data for image and video understanding.
Multimodal and Affective Human Computer Interaction - Abhinav SharmaAbhinav Sharma
This document discusses human-computer interaction and related topics such as multimodal and affective HCI. It begins with an introduction to the history and development of HCI. It then discusses more recent developments like touch interfaces, voice assistants, and consistent cross-device experiences. Two areas of interest in HCI are identified as multimodal interaction using multiple modes like voice and touch simultaneously, and affective HCI which aims to understand human emotions during interaction. Several research papers are summarized that explore topics like the definitions of multimodal HCI, challenges and opportunities it presents, as well as efforts in the field of automatic emotion recognition in HCI. Overall issues discussed include how to design more natural and seamless multimodal experiences, and how
Case study 6 chapter 111. 2. Answer the Case Study Questions (.docxwendolynhalbert
This document discusses a case study on the increasing use of robots in manufacturing. It notes that robots are becoming more advanced, capable of working alongside humans without endangering them. They can assemble a variety of objects from aircraft engines to smartphones. However, robots still lack the flexibility and dexterity of humans. While they are good at repetitive tasks, they cannot adapt well or handle high levels of product customization like those demanded by Mercedes customers. As robots continue advancing, manufacturing jobs performed by humans will become more complex, requiring workers to supervise and program robots.
It my pleasure to be with you all today – thanks to my host for the opportunity to speak with you all today.
Host: Leonard Walletzky <qwalletz@fi.muni.cz> (https://www.linkedin.com/in/leonardwalletzky/) +420 549 49 7690
Google Scholar: https://scholar.google.com/citations?user=aUvbsmwAAAAJ&hl=cs
Katrina Motkova (https://www.linkedin.com/in/kateřina-moťková-mba-a964a3175/en/?originalSubdomain=cz)
Speaker: Jim Spohrer <spohrer@gmail.com> (https://www.linkedin.com/in/spohrer/) +1-408-829-3112
I am Jim Spohrer, a retired Apple and IBM Executive, and currently a UIDP Senior Fellow, on the Board of Directors of ISSIP and ServCollab.
I am retired, meaning my primary activities are family-oriented – families are the oldest and most important type of service systems
I volunteer to help non-profits, mentor students, professionals, and retiree (some in retirement communities where the average age is 85) on AI & service science
My hobbies are hiking, reading, programming, and building my AI digital twin and humanoid robots for maintaining farms and farming equipment.
My hobbies are also trying to understand as much as I can about the system called the universe and mult-verse, and robots to rapidly rebuild civilization including themselves from scratch.
2001 - Nonzero: The Logic of Human Desitiny (Wright) - https://en.wikipedia.org/wiki/Nonzero:_The_Logic_of_Human_Destiny
2015 - Geek Heresy: Rescuing Social Change from the Cult of Technology - https://www.amazon.com/Geek-Heresy-Rescuing-Social-Technology/dp/161039528X
2021 - Humankind: A Hopeful History (Bregman) - https://en.wikipedia.org/wiki/Humankind:_A_Hopeful_History
Humankind - https://www.amazon.com/Humankind-Hopeful-History-Rutger-Bregman/dp/0316418536
Humankind Book Review - https://service-science.info/archives/5654
2022 - Service in the AI Era: Science, Logic, and Architecture Perspectives (2022) by Spohrer, Maglio, Vargo, Warg - https://www.amazon.com/Service-AI-Era-Architecture-Perspectives/dp/1637423039
2023 - Design for a Better World: Meaningful, Sustainable, Humanity-Centered (2023) by Don Norman - https://www.amazon.com/Design-Better-World-Meaningful-Sustainable/dp/0262047950/
The document discusses the development of a wireless pick and place robot. It aims to remove limitations of non-wireless robots by developing a system where a pick and place robot with 5 degrees of movement controlled by servo motors and an Arduino/Raspberry Pi board can operate freely without wires at any location. The robot will be designed to be compact, usable, affordable and help automate regular tasks like picking and placing to save human effort. Components will be selected and the robot will be fabricated, assembled and programmed using Arduino and Python to be controlled by a computer.
Universal usability refers to designing technology that is usable by all citizens without adaptation. It is important for both developers and users. For developers, it means using simple development processes and tools that most team members can use. For users, it means considering factors like age, cognitive and motor skills, social and physical limitations to make technologies accessible to people of all backgrounds. Achieving true universal usability is challenging but important to maximize the number of people who can benefit from new technologies.
Jim Spohrer was invited to be a panelist for John Hagel's presentation at the Fall 2021 Berkeley Innovation Forum. Spohrer recommends the book "Humankind: A Hopeful History" by Rutger Bregman. He notes his experience at IBM of facing fears of product to service and proprietary to open source transformations, which led IBM to acquire Red Hat for $34B and spin off Kyndryl. Spohrer serves on the board of ISSIP.org and is a retired IBM executive focusing his studies on service science and open source AI, where trust is key.
HCI means Human Computer Interaction...This paper on HCI gives you a fair detail of what HCI is and we have presented you with our ideas and insights....Walk into the future with HCI .
Artificial Intelligence Approach for Covid Period StudyPalIRJET Journal
The document proposes the development of an AI chatbot named StudyPal that can serve as a virtual tutor for students. StudyPal would use techniques like active recall and mind mapping to teach students curriculum content for their grade and subject without needing an in-person teacher. The goal is for StudyPal to provide individualized attention to effectively communicate concepts to each student. StudyPal would be created using a federated learning model to maintain data privacy and address issues with internet connectivity. The document outlines the proposed design and development process for StudyPal.
The Chatbot Imperative: Intelligence, Personalization and Utilitarian DesignCognizant
To boost business outcomes and deliver superior experiences, chatbots must quickly deliver responses that speak directly to individual human needs and apply meaningful responses to evolving requirements over time.
Emotional intelligence and artificial intelligence (A comparative analysis)Rumbidzai Faith Matanga
The document discusses a seminar paper on a comparative analysis of emotional intelligence and artificial intelligence. It outlines the objectives of analyzing whether the two are complementary and which is more relevant today. It discusses how each have distinct functions, with emotional intelligence giving humans abilities like empathy that AI currently lacks. The implications are that AI may replace some jobs but emotional skills will remain important. It suggests cultivating creativity and human qualities rather than focusing on skills that computers can replace.
The document discusses how manufacturers can develop strategies for human and robotic workers to collaborate effectively. It argues that to maximize productivity, these strategies need to incorporate design thinking, studies of human behavior, and partner ecosystems. The strategies should rethink workflows for how humans and robots can complement each other's strengths. This will allow manufacturers to gain unprecedented levels of productivity, innovation, and cost advantages from their human-robot workforces.
Novel model to identify the success factors in marketing by social mediaDr Karunakar Diwakar Jha
This document presents a novel model for identifying success factors in marketing through social media. It begins with an abstract discussing how social media allows companies to understand customer needs and establish relationships. It then discusses developing a model based on security, attractive content, reputation, interaction, and communication. The document provides context on the evolution and types of social media, how different age groups use it, and goals of social media marketing. It compares traditional and social media marketing approaches. Finally, it discusses the four pillars of social media marketing as read, create, share, and discuss content.
IOT/IOP Dalam Pengurusan oleh Dr. Zahrah MokhtarPersatuan Uitm
Pembentangan IOT/IOP Dalam Pengurusan oleh Dr. Zahrah Mokhtar, Mantan Pendaftar UiTM pada Seminar Pengurusan Pentadbir (SePP) 2019 anjuran Anjuran Persatuan Pentadbir UiTM di ILD Bandar Enstek, Negeri Sembilan pada 22 - 24 Disember 2019
Objektif Seminar SePP 2019
1. Menjelaskan dan menerapkan teknik pembentukan dan pelaksanaan Pengurusan Tangkas.
2. Menjelaskan manfaat Internet of Thing (IoT)/Internet of People (IoP) dalam pengurusan.
3. Merealisasikan minda Cepat, Tepat dan Integriti (CTI) - Produktiviti, Kreatviti dan Inovasi (PCI).
4. Mempelajari teknik mengurus imej penampilan profesional serta penekanan dalam tatacara beretika dan adab dalam tugasan dan dalam setiap acara dan urusan.
5. Mempelajari teknik penyampaian dan komunikasi berkesan.
read more
http://ppuitmsa.blogspot.com/2019/11/seminar-pengurusan-pentadbir-2019.html
Ju-Chun Ko received his Ph.D. in Computer Science from National Taiwan University in 2012, with a background in digital media design. He co-founded an app company called Linkwish and organized developer workshops in Taiwan. Ko has received awards for his interactive works combining art and technology and has served as a consultant for the Taiwanese government. He is currently fulfilling his military service in Taiwan and is open to job and academic opportunities abroad after November 2013.
Artificial intelligence and it's future of workIdcIdk1
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1. How Are Social Robots impacting
workplaces: A succinct introduction :
Social robots are human made technologies that can acquire physical or digital form, mimic people
in form or behaviour to some extent and are designed to interact with people . It is a remarkable
user friendly reality .
Remarkable features of social robots:
1) Social robots are utterly useful , intuitive and user friendly AI based technology
2) Comprehensive and diversified usage: from workplace to household work
3) A competence to convey intension in a human-perceptible way
4) Flexibility pertaining to different operations and interactions
2. Different types of social robots and their
relevance
FEW EXCEPTIONAL EXAMPLES :
Kismet – A robot head , capable of understanding and exhibiting emotions while
interacting with humans.
TICO- A robot developed to improve a child’s motivation in the class room
Bandit : A social robot designed to teach social behaviour to children suffering
from Autism.
JIBO – A consumer oriented social robot , capable of understanding speech and
facial expression and strives to form alliance with the concerned family
3. Diverse applicability
Tutoring : provides learners an innovating and
interacting platform for enhancing their skills.
Telepresence : provides remote meeting attendees
with a physical presence in a business meet
Fellowship : gives emotional support and aid to the
young , elderly or disabled
Customer Assistance : provides relevant information
to potential customers about goods and services
4. ANALYSIS :
According to you , how easy or difficult is it to
adapt while working with robots :
It is configured that there are two aspects which should be
addressed , while adapting with robots . The first one is that we
should enhance and implement the robotic technology in such a
way that , different social robots used for different purposes
should come in handy and prove to be utterly user friendly.
There is need to ponder over the fact that humans should be
completely firm and determined, when it comes to usage and
implementation of different types of robots for distinct
purposes .
Hence, with passage of time it will be easy and feasible to adapt
and work with robots .
Can humans and robots work together at
the work place ( on the basis of
Employment , Job quality and wages) :
A majority of people have a conviction that AI and ML
technology has improved the robotics up to scratch ,
consequently today social robots and humans
complement each other dexterously.
Robots have enhanced work place productivity and
have empowered human beings to achieve consistent
and reliable results which were earlier not possible
with that ease and accuracy .