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Power Point Presentation on Artificial Intelligence

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Its a Power Point Presentation on Artificial Intelligence.I hope you will find this helpful. Thank you. You can also find out my another PPT on Artificial Intelligence.The link is given below-- https://www.slideshare.net/AnushkaGhosh5/ppt-presentation-on-artificial-intelligence Anushka Ghosh

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14 Most Popular Presentations On Artificial Intelligence And Machine Learning On SlideShare

By Jeevan Biswas

For a quick overview of a subject or a breakdown of concepts, SlideShare serves as a go-to platform for many. The recapitulations found in many of the presentations are both concise and informative.

AIM brings you the 14 most popular presentations on Artificial Intelligence, Machine Learning. Deep Learning and everything else in between.

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Join our editors every weekday evening as they steer you through the most significant news of the day, introduce you to fresh perspectives, and provide unexpected moments of joy, your newsletter subscriptions are subject to aim privacy policy and terms and conditions., 1) artificial intelligence and law overview.

People who are not aware of what artificial intelligence is will find the topic presented in a very simple manner here.

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Along with the explanation of what AI is, the two major approaches towards AI are discussed– logic and rules-based approach, and machine learning approach. Special emphasis on the machine learning approach can be seen in the slides devoted to its detailed examination. The examination goes beyond the rudimentary explanation of what machine learning is and presents examples of proxies that seem like machine learning but are not.

The presentation lists examples of AI in the field of law and identifies some of the limitations of AI technology.

2) What is Artificial Intelligence – Artificial Intelligence Tutorial For Beginners

For the uninitiated, this presentation offers an ideal rundown of AI. The question of AI being a threat is raised at the very beginning. However, as the presentation progresses, it discusses the basics necessary for understanding AI. The most basic question of what is artificial intelligence is answered.

A brief history of AI and the discussion on recent advances in the field of AI is also found. The various areas where AI currently sees practical application have been listed. Fascinating uses that AI can be put to in the future are also found in the presentation. The two approaches of achieving AI, machine learning and deep learning, is touched upon.

All in all, this presentation serves as a simple introduction to AI.

3) Why Social Media Chat Bots Are the Future of Communication

An exciting application of AI can be found in chatbots. Here, the limitless scope of chatbots is explored. The various milestones reached by leading players in bot technology such as Facebook, Skype and KIK are enumerated.

The evolution of chatbots and its absorption of more AI in the future is also looked into. E-Commerce is touted as the biggest beneficiary of the advancement in chatbots and that bot technology will owe its rise to services and commerce.

Two tech giants, Facebook and Google, have been pitted against each other based on their ongoing developments in this area and the question of who will emerge as the best is raised.

4) AI and the future of work

This presentation talks about the far-fetching applicability of AI and ML,and the perils of that applicability. In order to derive a better understanding of this presentation, it is advisable to first watch the original talk.

During the course of the presentation, many examples of how machines can learn and perform any human task that is repetitive in nature are cited.

Other possibilities suggested include the creation of new unheard jobs for human beings as a result of aggressive use of AI and other allied technologies. Qualities that are characteristic only of human beings, may be the basis on which these jobs will be created is also suggested.

It concludes with a message- Ride the train, don’t jump in front of it.

5) AI and Machine Learning Demystified

In this presentation, Carol Smith establishes that AI cannot replace humans. Smith conveys that AI can serve the purpose of enabling human beings in making better decisions.

The slides talk about how the actions of AI are the result of the human inputs going into its programming. An AI’s bias is not its own, but the human bias with which it has been programmed, is emphasised on.

Other issues such as the need for regulations and other considerations within it that require deliberation are also touched upon. The presentation leaves you with a message – Don’t fear AI, Explore it.

6) Study: The Future of VR, AR and Self-Driving Car

Though no descriptive breakdown of topics related to AI is found, the presentation offers interesting numerical insights into many questions. Statistics on three main subjects – artificial intelligence, virtual reality and wearable technology, is provided here.

A variety of questions and the numerical representations of their responses are found under four main categories:

From consumer opinions to overall consensus of countries, the numbers show current trends and the possible trends in the future based on increasing development in the mentioned technologies.

7) Artificial Intelligence

There are many who have been introduced to AI only recently due to the buzz surrounding it and may not be aware of the early developments that led to its current status.

This presentation from 2009 offers a simple yet informative introduction to the rudiments of AI. AI’s history and a timeline of all the significant milestones in AI up to 2009 can be found. The presentation also provides an introduction to AI programming languages such as LISP and PROLOG.

For those who would like to have a crash course on the basics of AI in order to catch up with it current trends, this presentation serves the purpose.

8) Solve for X with AI: a VC view of the Machine Learning & AI landscape

While the concepts of AI or ML are not spoken about, light is shed on other important aspects of it. The presentation discusses about how many known tech giants such as Google are bolstering their AI capabilities through mergers and acquisitions.

The role of venture capital(VC) in the landscape of AI and machine learning,and the involvement of VC in the firms that were acquired are mentioned.

Another point highlighted is how large companies are moving towards ML and re-configuring themselves around ML, and how it is not a US-centric phenomenon. Key points have been expressed in the form of self-explanatory graphical representations. Rounding off the presentation is the possible direction that ML can take and a few pointers on achieving success in ML.

9) Deep Learning – The Past, Present and Future of Artificial Intelligence

This presentation provides a comprehensive insight into deep learning. Beginning with a brief history of AI and introduction to basics of machine learning such as its classification, the focus shifts towards deep learning entirely.

Various kinds of networks such as recurrent neural nets and generative adversarial networks have been discussed at length. Emphasis has been given to important aspects of these networks and other mechanisms such as natural language processing (NLP).

Detailed examples of practical applications and the scope of deep learning are found throughout the presentation. However, this presentation may prove difficult for first time learner’s of AI to comprehend.

10) The Future Of Work & The Work Of The Future

The subject of self-learning of robots and machines is explored here. Talking about the fictional Babel fish, it is suggested that the advancements in technology leading to improved learning and translations by machines made the Babel fish a near-real entity .

New ‘power’ values such as speed, networked governance, collaboration and transparency, among others, have been put forth and juxtaposed against older ones that are not fully technology driven.

Going against the popular assumption that robots and machines will replace human beings, the presentation proposes that we are on the brink of the largest job creation period in humanity.

11) Asia’s Artificial Intelligence Agenda

This presentation is a briefing paper by the MIT Technological Review and talks about how the global adoption of AI is being sped up by Asian countries. It suggests that Asia will not only benefit greatly from the rise in AI technology, but will also define it.

The data collected for the review has been summarized in the form of simple info-graphics. They are a numerical reflection of the mood surrounding the adoption of AI across different industries and how it could possibly impact human capital. The review also suggests that while there is awareness about AI in Asia, only a small percentage of companies are investing in it.

Pointers for business leaders in Asia to capitalize on AI is offered in the end along presentation with an info-graphic timeline of the history of AI.

12) 10 Lessons Learned from Building Machine Learning Systems- Netflix and 10 more lessons learned from building Machine Learning systems-Quora

While they are two separate presentations, they talk about the same subject- machine learning. The presentations are a summary of the analysis of machine learning adopted by two platforms, Netflix and Quora.

In case of Netflix, emphasis has been given to the choice of the right metric and the type of data used for testing and training. It also emphasises the need to understand the dependence between the data used and the models employed. The advice to optimize only areas that matter is offered.

The second presentation on Quora, talks about teaching machines only what is necessary. It stresses on the need the to focus on feature engineering and being thoughtful about the ML infrastructure. Another point it highlights is the combination of supervised and unsupervised being the key in ML application.

13) Design Ethics for Artificial Intelligence

https://www.slideshare.net/AcademyXi/design-ethics-for-artificial-intelligence

With 135 slides, this presentation provides an exhaustive insight into the creation of an ethically sound AI. An introduction to the subject of User Experience(UX) design is followed by the rules that have to be considered during the designing process.

The chronological progression of UX, beginning with experience design and ending with intelligence design, and the direction in which this process is headed is also discussed.

Supported by powerful visuals, the presentation touches upon many essential considerations such as nature of intelligence, purpose of existence, awareness of self and the need for which the AI is created.

It raises a pertinent point that while creating AI, human beings are creating something that embodies qualities that they lack.

14) Artificial Intelligence

Made for a school competition in 2009, it provides many examples of cutting-edge applications of AI at the time.

Many of the examples, such as mind controlled prosthetic limbs, Ultra Hal Assistant and Dexter- the robot provide a trip down the AI memory lane where the applications of AI seemed like a page out of a sci-fi novel. It presents a list of areas where AI can assist human beings.

It concludes with a series of questions, some of which, are still being debated. Such as machines replacing human beings’ and human unemployment due to the use of machines.

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Scientists create analog quantum device that could crack previously unsolvable physics problems, san francisco to slow the rollout of robotaxis of cruise and waymo, rpa benefits for your business, popular presentations on artificial intelligence.

Artificial intelligence is an increasingly important technology that enables computers to simulate human intelligence-based tasks. With a robust foundation of software and hardware, AI can accomplish numerous human tasks with much more efficiency. It works by building and training algorithms using programming languages like Python, R, and more. Once you have an algorithm, the next step is to ingest training data in the model, analyze it, and find patterns/abnormalities to forecast future states. There are many learning materials on artificial intelligence and related technologies. However, not all of those materials credibly explain AI concepts and applications.

Additionally, going through an entire book is time-consuming. Learning from a PPT on artificial intelligence is much easier than reading an entire book or research paper. This blog highlights some popular presentations on artificial intelligence and machine learning.

Introduction to Artificial Intelligence

Going through this AI PowerPoint presentation will be an excellent place to start learning about artificial intelligence. It is a brief presentation introducing you to artificial intelligence and its subsets like machine learning and deep learning without diving into more essential details. It describes what AI, machine learning, and deep learning are. Proceeding with AI, the presentation specifies types of artificial intelligence and its use cases. You will see that AI has applicability in various applications like supply chain management, human resource, knowledge management, customer insights, predictive analytics, and many more. Some of these use cases have been explored and explained via flowcharts to make them more accessible for the reader to understand. Finally, the AI PPT explains the rising trends observed in 2020.

You can download the PPT here.

Introduction to Machine Learning and AI

Introduction to ML/AI is yet another artificial intelligence PPT that will introduce you to the subject. The presentation will explain machine learning and discuss several commercial applications. The PowerPoint presentation will also differentiate between machine learning and artificial intelligence. You will be acquainted with supervised machine learning methods using regression and classification techniques and unsupervised learning via clustering, association, and data reduction. The AI PPT will also explain the problems faced while working with the algorithms and the consequent failures. You will have a broad overview of how to begin working with AI/ML, the entire procedure, and the result.

Artificial Intelligence Introduction

This artificial intelligence presentation is yet another PPT that briefs you about what AI is. It begins by explaining the term “intelligence” and providing several alternative definitions leading to a holistic one. The description is done in tandem with the need for incorporating such technologies. The AI presentation discusses advancements in AI technology, starting with the Turing Test developed by Alan Turing to test for intelligence in the 1950s. Using the test results, one can build a representative model with real-world knowledge and reasoning. There is a detailed procedure for understanding and using the test to solve problems.

You can download PPT on artificial intelligence if you wish to download it here .

Applications of Artificial Intelligence in the Real World

AI is becoming highly applicable in many real-world applications, and this PowerPoint presentation discusses common areas where AI is applied. This presentation talks about AI developments in creating fundamental technologies that can be used in daily life. It begins with recent developments in artificial intelligence and explores some use cases in everyday life. It talks about AI in self-driving cars, chatbots, social media platforms, healthcare, etc.

You can access and download the PPT here .

Sub-ML Framing: Economics of Data Science use cases

In this AI applications PPT, you will learn about experimenting with use cases via artificial intelligence. Before jumping directly into creating fully functional use cases, you can always start by developing basic versions and adding incremental updates. This approach is referred to as the sub-ML approach. The presentation discusses the feature store requirements to implement several use cases in machine learning. You can easily understand the framework by only going through the architectures given in this paper presentation on machine learning without delving into more details.

You can refer to the PPT here.

How AI and Robotics are transforming healthcare

This PowerPoint presentation on artificial intelligence will focus on its usefulness in healthcare. AI in healthcare is a trending artificial intelligence topic for presentation due to its increasing popularity and usefulness. New technologies and algorithms have enabled doctors and healthcare professionals to diagnose abnormalities and predict prognosis. The presentation will highlight the different sub-fields where AI-based tools support decision-making and provide more comprehensive access to information regarding health.

Artificial intelligence in Finance

AI in Finance is another application of artificial intelligence PPT you will frequently encounter. This presentation will show how AI can help automate financial service provision, enhance efficiency, and reduce costs. It begins by briefing you about machine learning and its application in four primary segments: capital markets, consumer banking, the insurance industry, and the stock market. The AI PPT will explain financial institutions in the context of big data and discuss several case studies for each primary segment, explaining how artificial intelligence and machine learning are used in the industry.

The Future of AR, VR, and Self-Driving Cars

In this future of artificial intelligence PPT, you will get numerical insights on how artificial intelligence is utilized in virtual reality, wearable technology, and self-driving vehicles. It explains the efficiency and applicability of AI in the mentioned areas and enables you to decide whether to go for a self-driving car based on its relevance in daily life. The presentation talks about VR headsets and their usefulness. Finally, the concluding slides show current trends and future predictions of rising demands and advancements in these areas.

Introduction to Machine Learning

This presentation is an AI applications PPT that will teach you about one of the most utilized sub-field of AI, machine learning. It is an introductory presentation that will brief you about the concept without getting into detail. The first few slides explain machine learning and the difference between ML and standard computer software. You will also read about different types of machine learning: supervised, unsupervised, and reinforcement learning. The PPT also mentions some advantages and disadvantages of machine learning.

You can download it from here.

Deep Learning

Deep learning is another sub-field of artificial intelligence that deals with applications that function like human brains. The word “deep” is related to the multiple layers used in the learning process. This poster presentation on AI, specifically on a sub-field of AI, combines 2-3 presentations. The first few slides introduce several deep learning models, specifically logistic regression and gradient boosting. These two models have been explained in detail, covering the types and their basic architectures. In the second half, the presentation discusses convolutional neural networks (CNN) in detail. It also explains how you can create one by pooling multiple layers. The third section discusses GANs (generative adversarial networks) and RNNs (recurrent neural networks). Going through this presentation will give you a great insight into deep learning. You can download it from here.

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Power Point Presentation on Artificial Intelligence
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Learning from a PPT on artificial intelligence is much easier than reading an ... Going through this AI PowerPoint presentation will be an