Introduction To Artificial Intelligence Powerpoint Presentation SlidesSlideTeam
Introduction to Artificial Intelligence is for the mid level managers giving information about what is AI, AI levels, types of AI, where AI is used. You can also know the difference between AI vs Machine learning vs Deep learning to understand expert system in a better way for business growth. https://bit.ly/2V0reNa
Artificial Intelligence Machine Learning Deep Learning Ppt Powerpoint Present...SlideTeam
Choose our Artificial Intelligence Machine Learning Deep Learning PPT PowerPoint Presentation Slide Templates to understand this popular branch of computer science. Acquaint your audience with the process of building smart, capable machines that can perform intelligent tasks with the help of this neural network PPT presentation. Exhibit the difference between AI, machine learning, and deep learning through this informative robotics PPT design. Elaborate on the wide range of areas that can benefit from artificial intelligence like supply chain, customer experience, human resources, fraud detection, research, and development by taking the aid of this computer science PPT slideshow. Highlight the booming rate of AI business and its future revenue forecast by downloading this thought-provoking and indulging information technology PowerPoint graphics. Save your time and efforts with these pre-ready and professionally crafted content-specific slides. It will educate your audience about this complex process in an easy yet efficient way. Download this AI functioning PowerPoint deck to create a roadmap for the growth and expansion of your business. https://bit.ly/3x135nD
Principles of Artificial Intelligence & Machine LearningJerry Lu
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as “deep learning” and “cognitive computing”
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!
History of AI, Current Trends, Prospective TrajectoriesGiovanni Sileno
Talk given at the 2nd Winter Academy on Artificial Intelligence and International Law of the Asser Institute. The birth of AI: Dartmouth workshop. The biggest AI waves: classic symbolic AI (reasoning, knowledge systems, problem-solving), machine learning (induction). Current problems: explainability, trustworthyness, impact and transformation on society and people, the rise of artificially dumber systems.
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckSlideTeam
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck is loaded with easy-to-follow content, and intuitive design. Introduce the types and levels of artificial intelligence using the highly-effective visuals featured in this PPT slide deck. Showcase the AI-subfield of machine learning, as well as deep learning through our comprehensive PowerPoint theme. Represent the differences, and interrelationship between AI, ML, and DL. Elaborate on the scope and use case of machine intelligence in healthcare, HR, banking, supply chain, or any other industry. Take advantage of the infographic-style layout to describe why AI is flourishing in today’s day and age. Elucidate AI trends such as robotic process automation, advanced cybersecurity, AI-powered chatbots, and more. Cover all the essentials of machine learning and deep learning with the help of this PPT slideshow. Outline the application, algorithms, use cases, significance, and selection criteria for machine learning. Highlight the deep learning process, types, limitations, and significance. Describe reinforcement training, neural network classifications, and a lot more. Hit download and begin personalization. Our AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3ngJCKf
Branch of computer science that develops machines and software with human-like intelligence
top 5 artificial intelligence stocks
artificial intelligence technology
artificial intelligence articles
artificial intelligence companies
artificial intelligence stocks to buy
artificial intelligence robots
artificial intelligence in medicine
artificial intelligence wikipedia
Introduction To Artificial Intelligence Powerpoint Presentation SlidesSlideTeam
Introduction to Artificial Intelligence is for the mid level managers giving information about what is AI, AI levels, types of AI, where AI is used. You can also know the difference between AI vs Machine learning vs Deep learning to understand expert system in a better way for business growth. https://bit.ly/2V0reNa
Artificial Intelligence Machine Learning Deep Learning Ppt Powerpoint Present...SlideTeam
Choose our Artificial Intelligence Machine Learning Deep Learning PPT PowerPoint Presentation Slide Templates to understand this popular branch of computer science. Acquaint your audience with the process of building smart, capable machines that can perform intelligent tasks with the help of this neural network PPT presentation. Exhibit the difference between AI, machine learning, and deep learning through this informative robotics PPT design. Elaborate on the wide range of areas that can benefit from artificial intelligence like supply chain, customer experience, human resources, fraud detection, research, and development by taking the aid of this computer science PPT slideshow. Highlight the booming rate of AI business and its future revenue forecast by downloading this thought-provoking and indulging information technology PowerPoint graphics. Save your time and efforts with these pre-ready and professionally crafted content-specific slides. It will educate your audience about this complex process in an easy yet efficient way. Download this AI functioning PowerPoint deck to create a roadmap for the growth and expansion of your business. https://bit.ly/3x135nD
Principles of Artificial Intelligence & Machine LearningJerry Lu
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as “deep learning” and “cognitive computing”
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!
History of AI, Current Trends, Prospective TrajectoriesGiovanni Sileno
Talk given at the 2nd Winter Academy on Artificial Intelligence and International Law of the Asser Institute. The birth of AI: Dartmouth workshop. The biggest AI waves: classic symbolic AI (reasoning, knowledge systems, problem-solving), machine learning (induction). Current problems: explainability, trustworthyness, impact and transformation on society and people, the rise of artificially dumber systems.
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckSlideTeam
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck is loaded with easy-to-follow content, and intuitive design. Introduce the types and levels of artificial intelligence using the highly-effective visuals featured in this PPT slide deck. Showcase the AI-subfield of machine learning, as well as deep learning through our comprehensive PowerPoint theme. Represent the differences, and interrelationship between AI, ML, and DL. Elaborate on the scope and use case of machine intelligence in healthcare, HR, banking, supply chain, or any other industry. Take advantage of the infographic-style layout to describe why AI is flourishing in today’s day and age. Elucidate AI trends such as robotic process automation, advanced cybersecurity, AI-powered chatbots, and more. Cover all the essentials of machine learning and deep learning with the help of this PPT slideshow. Outline the application, algorithms, use cases, significance, and selection criteria for machine learning. Highlight the deep learning process, types, limitations, and significance. Describe reinforcement training, neural network classifications, and a lot more. Hit download and begin personalization. Our AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3ngJCKf
Branch of computer science that develops machines and software with human-like intelligence
top 5 artificial intelligence stocks
artificial intelligence technology
artificial intelligence articles
artificial intelligence companies
artificial intelligence stocks to buy
artificial intelligence robots
artificial intelligence in medicine
artificial intelligence wikipedia
A Brief History Of Artificial Intelligence | Developing Text To Speech Recogn...Edureka!
** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow **
This edureka tutorial on "History of Artificial Intelligence" will provide you with detailed information about the evolution of Artificial Intelligence. It will also show the various use cases of Artificial Intelligence in everyday life with an example.
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Introduction To Artificial Intelligence PowerPoint Presentation SlidesSlideTeam
Introduction to Artificial Intelligence is for the mid level managers giving information about what is AI, AI levels, types of AI, where AI is used. You can also know the difference between AI vs Machine learning vs Deep learning to understand expert system in a better way for business growth. https://bit.ly/3er7KWI
Understanding artificial intelligence and it's future scopeChaitanya Shimpi
In the field of computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
Overview of artificial intelligence, its definition and classification, its history and historical development, as well as several theories and concepts.
Give a background of Data Science and Artificial Intelligence, to better understand the current state of the art (SOTA) for Large Language Models (LLMs) and Generative AI. Then start a discussion on the direction things are going in the future.
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...Edureka!
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics:
1. AI as a threat
2. What is AI?
3. History of AI
4. Machine Learning & Deep Learning examples
5. Dependency on AI
6.Applications of AI
7. AI Course at Edureka - https://goo.gl/VWNeAu
For more information, please write back to us at sales@edureka.co
Call us at IN: 9606058406 / US: 18338555775
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Artificial Intelligence And Machine Learning PowerPoint Presentation Slides C...SlideTeam
Artificial Intelligence And Machine Learning PowerPoint Presentation Slides arrange insightful data using industry-best design practices. Highlight the differences between machine intelligence, machine learning, and deep learning through our PPT format. Utilize this PowerPoint slideshow to present advantages, disadvantages, learning techniques, and types of supervised machine learning. Further, cover the merits, demerits, and types of unsupervised machine learning. Communicate important details concerning reinforcement learning. Familiarize your viewers with the expert system in artificial intelligence. Outline examples, characteristics, constituents, uses, advantages, drawbacks, and other aspects of the expert system. Compile the deep learning process, recurrent neural networks, and convolutional neural networks through this PowerPoint theme. Present an impactful introduction to artificial intelligence. Introduce kinds, algorithms, trends, and use cases of artificial intelligence. This presentation is not only easy-to-follow but also very convenient to edit, even if you have no prior design experience. Smash the download button and start instant personalization. Our Artificial Intelligence And Machine Learning PowerPoint Presentation Slides Complete Deck are explicit and effective. They combine clarity and concise expression. https://bit.ly/3hKg7PV
Artificial Intelligence (AI) is one of the hottest topics in the tech and startup world at the moment. The field of AI and its associated technologies present a range of opportunities – as well as challenges – for corporates. Learn more about what Artificial Intelligence means for your organization.
A Brief History Of Artificial Intelligence | Developing Text To Speech Recogn...Edureka!
** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow **
This edureka tutorial on "History of Artificial Intelligence" will provide you with detailed information about the evolution of Artificial Intelligence. It will also show the various use cases of Artificial Intelligence in everyday life with an example.
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Introduction To Artificial Intelligence PowerPoint Presentation SlidesSlideTeam
Introduction to Artificial Intelligence is for the mid level managers giving information about what is AI, AI levels, types of AI, where AI is used. You can also know the difference between AI vs Machine learning vs Deep learning to understand expert system in a better way for business growth. https://bit.ly/3er7KWI
Understanding artificial intelligence and it's future scopeChaitanya Shimpi
In the field of computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
Overview of artificial intelligence, its definition and classification, its history and historical development, as well as several theories and concepts.
Give a background of Data Science and Artificial Intelligence, to better understand the current state of the art (SOTA) for Large Language Models (LLMs) and Generative AI. Then start a discussion on the direction things are going in the future.
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...Edureka!
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics:
1. AI as a threat
2. What is AI?
3. History of AI
4. Machine Learning & Deep Learning examples
5. Dependency on AI
6.Applications of AI
7. AI Course at Edureka - https://goo.gl/VWNeAu
For more information, please write back to us at sales@edureka.co
Call us at IN: 9606058406 / US: 18338555775
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Artificial Intelligence And Machine Learning PowerPoint Presentation Slides C...SlideTeam
Artificial Intelligence And Machine Learning PowerPoint Presentation Slides arrange insightful data using industry-best design practices. Highlight the differences between machine intelligence, machine learning, and deep learning through our PPT format. Utilize this PowerPoint slideshow to present advantages, disadvantages, learning techniques, and types of supervised machine learning. Further, cover the merits, demerits, and types of unsupervised machine learning. Communicate important details concerning reinforcement learning. Familiarize your viewers with the expert system in artificial intelligence. Outline examples, characteristics, constituents, uses, advantages, drawbacks, and other aspects of the expert system. Compile the deep learning process, recurrent neural networks, and convolutional neural networks through this PowerPoint theme. Present an impactful introduction to artificial intelligence. Introduce kinds, algorithms, trends, and use cases of artificial intelligence. This presentation is not only easy-to-follow but also very convenient to edit, even if you have no prior design experience. Smash the download button and start instant personalization. Our Artificial Intelligence And Machine Learning PowerPoint Presentation Slides Complete Deck are explicit and effective. They combine clarity and concise expression. https://bit.ly/3hKg7PV
Artificial Intelligence (AI) is one of the hottest topics in the tech and startup world at the moment. The field of AI and its associated technologies present a range of opportunities – as well as challenges – for corporates. Learn more about what Artificial Intelligence means for your organization.
Machine Learning The Powerhouse of AI Explained.pdfCIO Look Magazine
Artificial Intelligence (AI) and Machine Learning (ML) are two terms that have revolutionized the technology landscape, becoming integral in various sectors.
Lecture1 introduction to machine learningUmmeSalmaM1
Machine Learning is a field of computer science which deals with the study of computer algorithms that improve automatically through experience. In this PPT we discuss the following concepts - Prerequisite, Definition, Introduction to Machine Learning (ML), Fields associated with ML, Need for ML, Difference between Artificial Intelligence, Machine Learning, Deep Learning, Types of learning in ML, Applications of ML, Limitations of Machine Learning.
Artificial Intelligence vs Machine Learning.pptxChetnaGoyal16
Artificial Intelligence (AI) and Machine Learning (ML) are two terms that often come up when discussing the future of technology.
Learning Artificial Intelligence can be highly beneficial because there is increasing demand for artificial intelligence professionals so taking an artificial intelligence course in Delhi will help you to gain a new skill.
Machine Learning The Powerhouse of AI Explained.pptxCIO Look Magazine
Artificial Intelligence (AI) and Machine Learning (ML) are two terms that have revolutionized the technology landscape, becoming integral in various sectors.
Artificial Intelligence Role in Modern Science Aims, Merits, Risks and Its Ap...ijtsrd
Artificial Intelligence AI is a growing field at the intersection of computer science, mathematics, and engineering, focused on creating machines capable of intelligent behavior. Over the years, AI has evolved from rule based systems to data driven approaches, prominently leveraging machine learning and deep learning. This evolution has led to AI systems capable of complex tasks such as pattern recognition, natural language processing, and decision making. The applications of AI are vast and diverse, permeating industries like healthcare, finance, automotive, retail, and education. AI driven technologies enable efficient automation, precise data analysis, personalized experiences, and improved decision making. However, with these advancements come ethical and culture concerns, including biases, data privacy, job displacement, and the responsible development and deployment of AI. Striking a balance between AIs potential and its associated risks necessitates a holistic approach, incorporating transparency, fairness, robust regulations, and ongoing research. This abstract encapsulates AIs transformative potential, emphasizing the importance of responsible AI development to ensure a positive impact on society while mitigating risks. Manish Verma "Artificial Intelligence Role in Modern Science: Aims, Merits, Risks and Its Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59910.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/59910/artificial-intelligence-role-in-modern-science-aims-merits-risks-and-its-applications/manish-verma
UNCOVERING FAKE NEWS BY MEANS OF SOCIAL NETWORK ANALYSISpijans
The short access to facts on social media networks in addition to its exponential upward push also made it tough to distinguish among faux information or actual facts. The quick dissemination thru manner of sharing has more high quality its falsification exponentially. It is also essential for the credibility of social media networks to avoid the spread of fake facts. So its miles rising research task to robotically check for misstatement of information thru its source, content material, or author and save you the unauthenticated assets from spreading rumours. This paper demonstrates an synthetic intelligence primarily based completely approach for the identification of the fake statements made by way of the use of social network entities. Versions of Deep neural networks are being applied to evalues datasets and have a look at for fake information presence. The implementation setup produced most volume 99% category accuracy, even as dataset is tested for binary (real or fake) labelling with multiple epochs.
UNCOVERING FAKE NEWS BY MEANS OF SOCIAL NETWORK ANALYSISpijans
The short access to facts on social media networks in addition to its exponential upward push also made it
tough to distinguish among faux information or actual facts. The quick dissemination thru manner of sharing has more high quality its falsification exponentially. It is also essential for the credibility of social media networks to avoid the spread of fake facts. So its miles rising research task to robotically check for
misstatement of information thru its source, content material, or author and save you the unauthenticated
assets from spreading rumours. This paper demonstrates an synthetic intelligence primarily based completely approach for the identification of the fake statements made by way of the use of social network
entities. Versions of Deep neural networks are being applied to evalues datasets and have a look at for
fake information presence. The implementation setup produced most volume 99% category accuracy, even
as dataset is tested for binary (real or fake) labelling with multiple epochs.
Top And Best Digital Marketing Agency With AIamdigitalmark15
Elevate your brand with Digitalaanmo, the top agency for the best and affordable digital marketing services. Unleash success with our expert agency solutions
Automated machine learning: the new data science challengeIJECEIAES
The world is changing quite rapidly while increasingly tuning into digitalization. However, it is important to note that data science is what most technology is evolving around and data is definitely the future of everything. For industries, adopting a “data science approach” is no longer an option, it becomes an obligation in order to enhance their business rather than survive. This paper offers a roadmap for anyone interested in this research field or getting started with “machine learning” learning while enabling the reader to easily comprehend the key concepts behind. Indeed, it examines the benefits of automated machine learning systems, starting with defining machine learning vocabulary and basic concepts. Then, explaining how to, concretely, build up a machine learning model by highlighting the challenges related to data and algorithms. Finally, exposing a summary of two studies applying machine learning in two different fields, namely transportation for road traffic forecasting and supply chain management for demand prediction where the predictive performance of various models is compared based on different metrics.
Similar to Fundamentals of Artificial Intelligence — QU AIO Leadership in AI (20)
The Ghazalian Project for the AI Era: A Multiplex Critical AI ApproachJunaid Qadir
Presentation by Junaid Qadir (Qatar University) at
Symposium on Ghazali on Education: Contemporary Practical Applications from an Enduring Legacy - Day 2
Organized by Hamad Bin Khalifa University (HBKU)
Ihsan for Muslim Professionals Short CourseJunaid Qadir
Ihsan for Muslim Professionals Short Course
by JUNAID QADIR, Information Technology University.
Ramadan 1441, May 2020.
Watch the entire short course at
https://www.youtube.com/playlist?list=PL4AueLFeEG0DAqrRgnZKQR163mvpOOkz-
A Thinking Person's Guide to Using Big Data for Development: Myths, Opportuni...Junaid Qadir
A Thinking Person's Guide to Using Big Data for Development: Myths, Opportunities, and Pitfalls
Accompanying Paper Available at:
Caveat Emptor: The Risks of Using Big Data for Human Development
IEEE Technology and Society Magazine 38(3):82-90
DOI: 10.1109/MTS.2019.2930273
September 2019
https://www.researchgate.net/publication/335745617_Caveat_Emptor_The_Risks_of_Using_Big_Data_for_Human_Development
IWCMC Invited Talk for the E-5G PresentationJunaid Qadir
The unprecedented rapid adoption of mobile technology has motivated great interest in using mobile technology for health (mHealth). Bolstering the mHealth promise are three important trends: Firstly, big data—through which there has been unprecedented commoditization and opening up of data through the instrumentation of modern phones and environments (e.g., using the native sensors in mobile phones or using embedded devices in the so-called Internet of Things). This opens up the opportunity of collecting individual level ``small data’’ that can be used to provide personalized healthcare. Secondly, artificial intelligence (AI) and machine learning (ML) advances have democratized diagnostic capabilities to some extent and further significant improvement is expected. With advances in computational capabilities of mobile phones, and with resource augmentation from clouds, it will be possible to support data and computation intensive mHealth applications. Finally, high-performance communication (e.g., high throughput and low latency) capabilities can change the landscape of healthcare in terms of operational efficiency and accuracy and enable a range of telehealth services. In this talk, we will present the research agenda for bringing the 5G-Enabled Health Revolution.
Taming limits with approximate networkingJunaid Qadir
Internet is the linchpin of modern society, which the various threads of modern life weave around. But being a part of the bigger energy- guzzling industrial economy, it is vulnerable to disruption. It is widely believed that our society is exhausting its vital resources to meet our energy requirements, and the cheap fossil fuel fiesta will soon abate as we cross the tipping point of global oil production. We will then enter the long arc of scarcity, constraints, and limits— a post-peak “long emergency” that may subsist for a long time. To avoid the collapse of the networking ecosystem in this long emer- gency, it is imperative that we start thinking about how network- ing should adapt to these adverse “undeveloping” societal condi- tions. We propose using the idea of “approximate networking”— which will provide good-enough networking services by employ- ing contextually-appropriate tradeoffs—to survive, or even thrive, in the conditions of scarcity and limits.
See the video at: https://www.youtube.com/watch?v=4hKvgIi-HZY
Presentation on "The pedagogy of online education: historical overview and future directions" at the VU 3rd e-Learning and Distance Education Conference (ELDEC) conference.
Common Student mistakes: What We Can Learn From Socrates, the Cognitive Scien...Junaid Qadir
``To make no mistakes is not in the power of man; but from their errors and mistakes; the wise and good learn wisdom for the future.''---Plutarch.
Have you ever wondered why you, being a university or college student, aren't progressing despite your effort?
It may be that you are working frustratingly hard but without commensurate results, due to deficient mindset and/ or methodology.
While a wide variety of problems can result in sub-optimal learning performance, there are 7 main categories of student mistakes that recur with alarming regularity. You may be making one, or more, of the these mistakes. Not to fret though; each of these debilitating hindrances can be surmounted with self-awareness and some effort, paving the way for enjoyable, and productive, learning experiences.
Lectures of CS-721 (Network Performance Evaluation) taught for the Virtual University by Junaid Qadir.
To access other resources, visit http://sites.google.com/site/netperfeval
On The Necessity Of Loving The Prophet (Sallalahu Alaihi Wassalam)Junaid Qadir
This presentation presents a chapter of the book 'Ash-Shifa' by Qadi Iyad and talks about the great position occupied by the Messenger of Allah (Sallalahu Alaihi Wassalam).
Reference: Aisha Bewley: "Muhammad - Messenger of Allah, Ash-Shifa of Qadi Iyad"
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
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Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
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In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
2. Research focus areas
Ethics of AI
Safety of AI
Robustness of AI
Mitigating
Antisocial Online
Behavior
Big Data Cloud/Edge
Computing
Wireless
Networks
ICTD
Artificial Intelligence/
Machine Learning
Ethics and
Technology
Learning/
Pedagogy
Cognitive
Networks
Robotics
Adversarial ML IoT/ Smart Cities Algorithms
Engineering
Education
Priority research areas
Secure, Robust,
Ethical AI and ML
Using ML/AI for
social good
ICTD
…
Research Funding
FB Research Ethics in AI Research Initiative
for the Asia Pacific Award Winner (2020)
Culturally informed pro-social AI regulation and persuasion framework
Dr. Junaid Qadir, Dr. Amana Raquib
3. Workshop Road Map
1 What is AI? Types of AI? History of AI
3 Big Ideas and Important Concerns Related to AI/ML
2 Machine Learning (ML)
6. What is Artificial Intelligence?
Artificial intelligence is a field renowned for
its lack of consensus on fundamental issues
7. A melting pot of ideas, techniques, and insights that
relate to artificial (computational) intelligence
Cognitive Hexagon
8. Different takes on “what is intelligence”
The ability to solve problems
The ability to learn from experience
The ability to reason about things
The ability to recognize patterns
The ability to figure out causes of things (or to understand)
The ability to pursue objectives and purpose.
The ability to generalize and abstract (and make analogies)
9. AI focuses on building “intelligent machines”
Intelligent agent is a system that
perceives its environment and
takes actions which maximize its
chances of success. (Russell & Norvig)
11. “An attempt will be made to find how to
make machines use language, form
abstractions and concepts, solve kinds of
problems now reserved for humans, and
improve themselves. We think that a
significant advance can be made if we
work on it together for a summer.”
John McCarthy and Claude Shannon
1956 Dartmouth Workshop
AI’s official birth
13. History of AI—Knowledge Based Approaches
Computer
Data
Program
Output
Traditional Programming
1988—93: Expert systems industry busts
1970—90: Knowledge-based approaches
1969—79: Early development
1980—88: Expert systems industry booms
14. Problem space grew too quickly
Complexity of the world made it hard to encode all rules
AI Winter and Underwhelming Results
15. 1990— 2012: Statistical approaches + subfield expertise
• Resurgence of probability, focus on uncertainty
• General increase in technical depth
• Agents and learning systems…
“AI Spring”?
2012 onwards: Lots of Excitement
• Big data, machine learning, deep learning
• AI used in many industries
History of AI—Data Driven Approaches
16. What is behind modern success of AI?
Modern AI and Data-Driven Methods
Model Uncertainty
Use data to learn
from experience
1997
Deep Blue
2005
Stanley
2011 Watson
19. Difficulties in teaching concepts to computers
In Arthur Samuel’s classic 1962 essay "Artificial Intelligence:
A Frontier of Automation", he wrote: “Programming a
computer for such computations is, at best, a difficult task, not
primarily because of any inherent complexity in the computer
itself but, rather, because of the need to spell out every minute
step of the process in the most exasperating detail.
Computers, as any programmer will tell you, are giant
morons, not giant brains.”
Traditional Programming
Problem space grew too quickly
Complexity of the world made it hard to encode all rules
AI Winter and Underwhelming Results
20. Let’s try Machine Learning
Learning
Algorithm
Output
Input Program/
Model
Machine Learning
Essence of Machine Learning:
– There is a pattern in data, however it is complex and difficult to articulate
– We cannot pin it down mathematically (i.e., it is too complex for that)
– Let the computer learn a model for the concept itself using algorithms.
21. “Learning” in Machine Learning
Arthur Samuel
How do we learn the right weights (model parameters)?
Use of mathematical
optimization to reduce
the discrepancy between
predictions and actual
labels (which is computed
by loss function)
23. Supervised learning: the machine experiences a series of inputs: x1, x2,
x3, x4, … along with the correct labels y1, y2, … and it aims to learn a
mapping so that it can make a correct prediction for a new input
Supervised learning
Fraud Detection
Toxic Comment Detection
Binary Class Classification Multi-Class Classification
{0, 1, 2, … 9}
24. Deep Learning and Deep (Neural) Networks
M. Mitchell Waldrop PNAS 2019;116:4:1074-1077
26. Unsupervised learning
Unsupervised learning: the goal of the machine is to build a
model of x that can be used for various tasks such as reasoning,
decision making, predicting things, communicating, etc.
Applications: Clustering, anomaly detection, etc.
29. Reinforcement Learning
Basic idea:
Receive feedback in the form of rewards
Agent’s utility is defined by the reward function
Must (learn to) act so as to maximize expected rewards
All learning is based on observed samples of outcomes!
36. Despite the AI optimism, ML is no panacea
Many people find the lack of rigor and sound
analytical understanding of the internal working
of ML troubling
Despite the AI optimism, ML is no panacea
37. Bias (Can the ML model learn our biases?)
Interpretability (Can we understand ML models’ “reasoning”?)
Privacy (Is the ML model protecting our privacy?)
Security (Is the ML model secure against adversarial attacks?)
Open questions related to ML/AI
Trustworthiness/Reliability
(Can I trust the prediction of an ML model?)
38. Overfitting and the importance of generalization
Clever Hans (pictured) “solved”
arithmetic problems by simply
following the cues that inadvertently
emanated from his trainer’s body
language.
42. “Every new technology will bite back.
The more powerful its gifts, the more
powerfully it can be abused.”
Kevin Kelly
Looking at technology critically
Ledger of Harms
44. Developing Safe & Trustworthy AI/ML systems
THERE ARE ETHICAL
CHOICES IN EVERY SINGLE
ALGORITHM WE BUILD
“
45. Ability To Act Ethically and With Wisdom
Wisdom
Understanding
Knowledge
Information
Data
An ounce of information is worth a pound of data.
An ounce of knowledge is worth a pound of information.
An ounce of understanding is worth a pound of knowledge.
An ounce of wisdom is worth a pound of understanding.
Good for your self/tribe is
not necessarily good for
common good of humanity