Social media and data analytics are coming together to create a new world - one that combines human creativity with information technology to deliver power beyond imagination.
The Rise of Robots and Ai
Introduction
The relentless march of technology has brought us to an era where robots and artificial intelligence (AI) are becoming increasingly integrated into our daily lives. As we witness the remarkable advancements in automation, machine learning, and robotics, a pertinent question looms: should we be afraid of the rise of robots and AI? This inquiry delves into a complex landscape where the promises of efficiency, innovation, and convenience collide with concerns about job displacement, ethical dilemmas, and potential risks to humanity. In this exploration, we will navigate through the realms of progress and caution, examining both the dazzling possibilities and the shadows cast by the ever-growing influence of robots and AI.
1: The Positive Side - Benefits of Robots and AI
Robots and artificial intelligence (AI) bring lots of good things to the table. One big plus is that they help us get things done faster and better. They can do repetitive jobs really quickly, making work smoother in places like factories and delivery services. Robots and AI are also like big brains that help us come up with new ideas and discoveries in science and technology. They're super good at doing tasks without making mistakes, making the quality of work even better. These technologies can work non-stop, 24/7, ensuring things keep running smoothly. Using robots and AI can also save money by making tasks more efficient, especially in jobs that might be risky or dull for people. They're great at handling a lot of information (big data), helping in areas like business decisions and healthcare. Whether it's making things safer in dangerous places, creating personalized experiences, or aiding in medical diagnoses, robots and AI bring a bunch of cool advantages to our lives.
2: The Negative Side - Detriment of Robots and AI
Even though robots and smart technology can be really helpful, there are also some not-so-good things about them. One big problem is that they might take away jobs from people. For example, if robots start doing a lot of the work, some people might lose their jobs, and that can be tough for them. Another issue is about being fair and good. Sometimes, the computer programs that control these machines can accidentally be unfair, especially when recognizing faces. Lastly, there's a worry about depending too much on these machines. If we rely too much on them, we might lose control over important things, like decisions about money or health. So, while these machines can do good things, we also need to be careful about the problems they might cause.
3: Striking a Balance - Navigating the Future
As we look ahead to a future with more robots and smart technology, we need to find a good balance. On one side, these machines can help us a lot, but there are also challenges. People might worry about losing their jobs to machines, so it's important to make sure our education helps us learn new things throughout o
Social media and data analytics are coming together to create a new world - one that combines human creativity with information technology to deliver power beyond imagination.
The Rise of Robots and Ai
Introduction
The relentless march of technology has brought us to an era where robots and artificial intelligence (AI) are becoming increasingly integrated into our daily lives. As we witness the remarkable advancements in automation, machine learning, and robotics, a pertinent question looms: should we be afraid of the rise of robots and AI? This inquiry delves into a complex landscape where the promises of efficiency, innovation, and convenience collide with concerns about job displacement, ethical dilemmas, and potential risks to humanity. In this exploration, we will navigate through the realms of progress and caution, examining both the dazzling possibilities and the shadows cast by the ever-growing influence of robots and AI.
1: The Positive Side - Benefits of Robots and AI
Robots and artificial intelligence (AI) bring lots of good things to the table. One big plus is that they help us get things done faster and better. They can do repetitive jobs really quickly, making work smoother in places like factories and delivery services. Robots and AI are also like big brains that help us come up with new ideas and discoveries in science and technology. They're super good at doing tasks without making mistakes, making the quality of work even better. These technologies can work non-stop, 24/7, ensuring things keep running smoothly. Using robots and AI can also save money by making tasks more efficient, especially in jobs that might be risky or dull for people. They're great at handling a lot of information (big data), helping in areas like business decisions and healthcare. Whether it's making things safer in dangerous places, creating personalized experiences, or aiding in medical diagnoses, robots and AI bring a bunch of cool advantages to our lives.
2: The Negative Side - Detriment of Robots and AI
Even though robots and smart technology can be really helpful, there are also some not-so-good things about them. One big problem is that they might take away jobs from people. For example, if robots start doing a lot of the work, some people might lose their jobs, and that can be tough for them. Another issue is about being fair and good. Sometimes, the computer programs that control these machines can accidentally be unfair, especially when recognizing faces. Lastly, there's a worry about depending too much on these machines. If we rely too much on them, we might lose control over important things, like decisions about money or health. So, while these machines can do good things, we also need to be careful about the problems they might cause.
3: Striking a Balance - Navigating the Future
As we look ahead to a future with more robots and smart technology, we need to find a good balance. On one side, these machines can help us a lot, but there are also challenges. People might worry about losing their jobs to machines, so it's important to make sure our education helps us learn new things throughout o
Machine Learning and/or AI is being adopted across many industries at a rapid pace. But Bias in AI, lack of talent diversity in AI and lack of access to knowledge pose major risks. In this presentation, I showcase some real-life example of Bias in AI. But if we take the right steps we can build an Inclusive AI. Building an Inclusive AI is the right thing to do for the society, it also makes for a great product and business.
Copyright of Manufacturers Monthly is the property of Pri.docxbobbywlane695641
Copyright of Manufacturers' Monthly is the property of Prime Creative Media and its content
may not be copied or emailed to multiple sites or posted to a listserv without the copyright
holder's express written permission. However, users may print, download, or email articles for
individual use.
62
September 25, 2017
“It’s about what you
do to communicate
to people why
these things are
important. It’s not
about a tweet”
Megan Murphy: Artificial intelligence. People may not know that IBM
doesn’t call it AI. They call it “cognitive computing.” Tell us why that is.
Ginni Rometty: I have actually had to explain this to my husband
as well, because he said to me, “Ginni, of all words, why cognitive?” It
was really a very thoughtful decision. The world calls it AI. There’s so
much fearmongering about AI. When we started over a decade ago,
the idea was to help you and I make better decisions amid cognitive
overload. That’s what has always led us to cognitive. If I considered the
initials AI, I would have preferred augmented intelligence. It’s the idea
that each of us are going to need help on all important decisions. I’m
always reminded of an interesting statistic: When you’re asked what
percentage of your decisions are right, what percentage would you get?
What would it be?
A study said on average that a third of your decisions are really
great decisions, a third are not optimal, and a third are just wrong.
We’ve estimated the market is $2 billion for tools to make better deci-
sions. That’s what led us all to really calling it cognitive and getting
The leader of America’s oldest tech
company talks to Bloomberg Businessweek
Editor Megan Murphy about the
promise and threat of AI (and Watson),
Charlottesville, and being a role model
Ginni
Rometty
CEO, IBM
Photograph
by Stephanie
Sinclair
through to people that, “Look, we really think this
is about man and machine, not man vs. machine.
This is an era—really, an era that will play out for
decades in front of us.”
The world discovered IBM’s Watson after the
computer system beat human competitors and
won $1 million on Jeopardy! It’s named after your
company’s first CEO. What does Watson mean for
the future of AI—and for your business?
Everything you know until today is program-
mable—an entire era for decades has been pro-
grammable. Watson would be the beginning of
a new era where you didn’t program. Machines
would look at data, understand, reason over it,
and they continue to learn: understand, reason
and learn, not program, in my simple definition.
That to us is a very big difference between what
◼ DEBRIEF
63
Bloomberg Businessweek Month 00, 2017Bloomberg Businessweek Month 00, 2017Bloomberg Businessweek Month 00, 2017
6464
you might experience in what I call consumer AI—that is,
general purpose—vs. business. We set out to build an AI plat-
form for business.
There would be two big differences between business and
consum.
Data Con LA 2020
Description
The People at any organization are one of the most important stakeholders in the business. People Analytics & Research is the broad discipline in which employee data is leveraged to inform organizational decision-making. In current times, data science has found its way into People Analytics and Research with individuals using AI to predict or diagnose important metrics like turnover. However, it is only through ethical, context-driven, and inclusive methods that data science can continue to intelligently augment human resources. This talk will help attendees recognize and describe People Analytical challenges within their organizations and teams. Further, through a discussion of real-world examples, attendees will appreciate the need for inclusive and ethical context-driven best practices for People Analytics. Finally, attendees will be able to explore applications of AI/ML to problem solving for the People Analytics space. This is an interactive session, so please bring your questions, and get ready to put your thinking hats on!
Speaker
Sreyoshi Bhaduri, McGraw Hill, Manager, Global People Research and Analytics
Discover the jobs that AI will never replace. Explore the important roles that rely on human creativity, problem solving, leadership, and adaptability.
The Action Transformer Model represents a groundbreaking technological advancement that enables seamless communication with other software and applications, effectively bridging humanity and the digital realm.
The Action Transformer Model represents a groundbreaking technological advancement that enables seamless communication with other software and applications, effectively bridging humanity and the digital realm. It is based on a large transformer model and operates as a natural human-computer interface, much like Google’s PSC, allowing users to issue high-level commands in natural language and watch as the program performs complex tasks across various software and websites.
The Action Transformer Model represents a groundbreaking technological advancement that enables seamless communication with other software and applications, effectively bridging humanity and the digital realm.
Can human intelligence be replaced by artificial intelligence?karpagamacademy
AI has the potential to augment and enhance various aspects of human intelligence, the complete replacement of human intelligence by artificial intelligence remains a distant and ethically complex prospect. The responsible development and integration of AI should prioritize collaboration between humans and machines to harness the strengths of both.
Can human intelligence be replaced by artificial intelligence.pptxkarpagamacademy
No, human intelligence cannot be fully replaced by artificial intelligence. While AI systems can perform specific tasks and exhibit a form of narrow intelligence, they lack the holistic understanding, creativity, emotional intelligence, and consciousness that characterize human intelligence. AI complements human capabilities and can automate certain functions, but it cannot replicate the depth and breadth of human cognition, intuition, and complex decision-making. The relationship between humans and AI is more about collaboration and augmentation rather than substitution.
Artificial Intelligence vs Artificial StupidityJim Stroud
There's been a lot of talk about artificial intelligence. But, not much talk about artificial stupidity. Believe it or not, its a thing. It happens. And sometimes those happenings are deadly.
I talk about it in this episode of The Jim Stroud Report
(On the last slide is a link to every article and resource cited in the report. Just in case you want to read it all in context. Just sayin'... )
It will all make sense once you read it. Please reshare, like, comment and pass it on. Your encouragement keeps this content coming.
Suzanne Gildert - Should Robots Have Rights?SUCanadaSummit
This session will explore the concept of sentience. At what point does a robot or AI become a sentient being? What role will they play in our societies? We’ll take a lighthearted and interactive approach to tackling some of these deep and important questions.
This is the ppt for day 2 of learning react from scratch.
Presentation given for girlscript punjab
date: 23 October 2020
Topics covered basic react app setup functional components and class components.
Machine Learning and/or AI is being adopted across many industries at a rapid pace. But Bias in AI, lack of talent diversity in AI and lack of access to knowledge pose major risks. In this presentation, I showcase some real-life example of Bias in AI. But if we take the right steps we can build an Inclusive AI. Building an Inclusive AI is the right thing to do for the society, it also makes for a great product and business.
Copyright of Manufacturers Monthly is the property of Pri.docxbobbywlane695641
Copyright of Manufacturers' Monthly is the property of Prime Creative Media and its content
may not be copied or emailed to multiple sites or posted to a listserv without the copyright
holder's express written permission. However, users may print, download, or email articles for
individual use.
62
September 25, 2017
“It’s about what you
do to communicate
to people why
these things are
important. It’s not
about a tweet”
Megan Murphy: Artificial intelligence. People may not know that IBM
doesn’t call it AI. They call it “cognitive computing.” Tell us why that is.
Ginni Rometty: I have actually had to explain this to my husband
as well, because he said to me, “Ginni, of all words, why cognitive?” It
was really a very thoughtful decision. The world calls it AI. There’s so
much fearmongering about AI. When we started over a decade ago,
the idea was to help you and I make better decisions amid cognitive
overload. That’s what has always led us to cognitive. If I considered the
initials AI, I would have preferred augmented intelligence. It’s the idea
that each of us are going to need help on all important decisions. I’m
always reminded of an interesting statistic: When you’re asked what
percentage of your decisions are right, what percentage would you get?
What would it be?
A study said on average that a third of your decisions are really
great decisions, a third are not optimal, and a third are just wrong.
We’ve estimated the market is $2 billion for tools to make better deci-
sions. That’s what led us all to really calling it cognitive and getting
The leader of America’s oldest tech
company talks to Bloomberg Businessweek
Editor Megan Murphy about the
promise and threat of AI (and Watson),
Charlottesville, and being a role model
Ginni
Rometty
CEO, IBM
Photograph
by Stephanie
Sinclair
through to people that, “Look, we really think this
is about man and machine, not man vs. machine.
This is an era—really, an era that will play out for
decades in front of us.”
The world discovered IBM’s Watson after the
computer system beat human competitors and
won $1 million on Jeopardy! It’s named after your
company’s first CEO. What does Watson mean for
the future of AI—and for your business?
Everything you know until today is program-
mable—an entire era for decades has been pro-
grammable. Watson would be the beginning of
a new era where you didn’t program. Machines
would look at data, understand, reason over it,
and they continue to learn: understand, reason
and learn, not program, in my simple definition.
That to us is a very big difference between what
◼ DEBRIEF
63
Bloomberg Businessweek Month 00, 2017Bloomberg Businessweek Month 00, 2017Bloomberg Businessweek Month 00, 2017
6464
you might experience in what I call consumer AI—that is,
general purpose—vs. business. We set out to build an AI plat-
form for business.
There would be two big differences between business and
consum.
Data Con LA 2020
Description
The People at any organization are one of the most important stakeholders in the business. People Analytics & Research is the broad discipline in which employee data is leveraged to inform organizational decision-making. In current times, data science has found its way into People Analytics and Research with individuals using AI to predict or diagnose important metrics like turnover. However, it is only through ethical, context-driven, and inclusive methods that data science can continue to intelligently augment human resources. This talk will help attendees recognize and describe People Analytical challenges within their organizations and teams. Further, through a discussion of real-world examples, attendees will appreciate the need for inclusive and ethical context-driven best practices for People Analytics. Finally, attendees will be able to explore applications of AI/ML to problem solving for the People Analytics space. This is an interactive session, so please bring your questions, and get ready to put your thinking hats on!
Speaker
Sreyoshi Bhaduri, McGraw Hill, Manager, Global People Research and Analytics
Discover the jobs that AI will never replace. Explore the important roles that rely on human creativity, problem solving, leadership, and adaptability.
The Action Transformer Model represents a groundbreaking technological advancement that enables seamless communication with other software and applications, effectively bridging humanity and the digital realm.
The Action Transformer Model represents a groundbreaking technological advancement that enables seamless communication with other software and applications, effectively bridging humanity and the digital realm. It is based on a large transformer model and operates as a natural human-computer interface, much like Google’s PSC, allowing users to issue high-level commands in natural language and watch as the program performs complex tasks across various software and websites.
The Action Transformer Model represents a groundbreaking technological advancement that enables seamless communication with other software and applications, effectively bridging humanity and the digital realm.
Can human intelligence be replaced by artificial intelligence?karpagamacademy
AI has the potential to augment and enhance various aspects of human intelligence, the complete replacement of human intelligence by artificial intelligence remains a distant and ethically complex prospect. The responsible development and integration of AI should prioritize collaboration between humans and machines to harness the strengths of both.
Can human intelligence be replaced by artificial intelligence.pptxkarpagamacademy
No, human intelligence cannot be fully replaced by artificial intelligence. While AI systems can perform specific tasks and exhibit a form of narrow intelligence, they lack the holistic understanding, creativity, emotional intelligence, and consciousness that characterize human intelligence. AI complements human capabilities and can automate certain functions, but it cannot replicate the depth and breadth of human cognition, intuition, and complex decision-making. The relationship between humans and AI is more about collaboration and augmentation rather than substitution.
Artificial Intelligence vs Artificial StupidityJim Stroud
There's been a lot of talk about artificial intelligence. But, not much talk about artificial stupidity. Believe it or not, its a thing. It happens. And sometimes those happenings are deadly.
I talk about it in this episode of The Jim Stroud Report
(On the last slide is a link to every article and resource cited in the report. Just in case you want to read it all in context. Just sayin'... )
It will all make sense once you read it. Please reshare, like, comment and pass it on. Your encouragement keeps this content coming.
Suzanne Gildert - Should Robots Have Rights?SUCanadaSummit
This session will explore the concept of sentience. At what point does a robot or AI become a sentient being? What role will they play in our societies? We’ll take a lighthearted and interactive approach to tackling some of these deep and important questions.
This is the ppt for day 2 of learning react from scratch.
Presentation given for girlscript punjab
date: 23 October 2020
Topics covered basic react app setup functional components and class components.
It is the Day 1 power point presentation for seven days of react learning jam. Session organized by GirlScript Punjab
Date of the session 22nd Oct 2020
Everything you want to need to know about GraphQL Smile Gupta
This presentation was delivered for Education Outreach Batch 5 where in i explained the nitty gritty of how API work and the basics about GraphQL and how a graphql api is different from rest api.
This presentation was delivered for the an Initiative Lets Cheer by Team Gourav on its 20th episode.
Here in I shared my learnings and lessons that made me a motivated professional from the ordinary girl next door.
Making a portfolio website - Smile GuptaSmile Gupta
Learn how to make a beginner friendly portfolio using html and css.
Once you are finish with the code. Then Learn how to deploy the same using github pages.
PowerPoint for session on Reactjs Basics
Topics Covered:
npm vs npx create-react-app
5 ways of thinking in react
tips to ace react like pro
vs code extensions to ease development with react
hands on react by making a hangman game
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
19. I am excited about the possibilities of thinking
machine.
I am excited about the possibility of solving
grand global challenges the world face.
20. I believe we are at that point right now (a
choice point), where we need to shape the
future by being careful at the same time to
make sure that the thinking machines don’t
out thank us.
21. I believe AI should be shaped in such a
way that it can control the outcomes as
well as the future of the world.
