14 Best PowerPoint Presentations on AI and ML in 2024
For a quick overview of a subject or a breakdown of concepts, Slideshare is a go-to platform for many. The recapitulations found in many of the presentations are both concise and informative.
The most popular presentation topics are the ones that have received the most number of likes and have been viewed more than the other presentations in a particular category.
Braincuber brings you the 14 most popular ppt topics on artificial intelligence, and machine learning: deep learning and everything else in between.
1) Artificial Intelligence and Law Overview
Those who do not know what artificial intelligence is will be pleased to know that the presentation speaks on the subject in a very simplified manner.
As a definition of AI is presented, the author allows to the development of two approaches to AI, logic and rules-based and machine learning techniques. In the subsequent slides, however, a microscope is focused on the machine learning techniques. The examination goes beyond explaining the simple definition of made learning and presents cases of agents which look like machine learning applications but are not.
The addresses the applications of Artificial Intelligence in the scope of Law and suggests certain disadvantages of its implementation as a technology.
2) What is Artificial Intelligence – Artificial Intelligence Tutorial For Beginners
For those unfamiliar this presentation outlines AI in the best possible way. Right at the beginning, the issue of whether or not AI is a danger is raised. However, later in the presentation, the fundamentals that need to be grasped if one is to understand AI are explained. One of the most fundamental questions as to what artificial intelligence is is addressed.
a brief timeline of AI explains the trends and delves into recent activity in the development of AI. Practical applications of AI technologies have also been presented. It is also interesting to find in the presentation future amazing applications that AI could be the subject of. A brief mention is made of two methods of making AI possible, that is, machine learning and deep learning.
On the whole, this slide presentation is a brief primer on artificial intelligence.
3) Why Social Media Chat Bots Are the Future of Communication
A particularly thrilling feature of artificial intelligence is chatbots. In this section, the potential of chatbots is examined in depth. The achievements of prominent bot technology companies like Facebook, Skype, and KIK are listed in chronological order.
Then the growth of chatbots and the increase in AI investment are considered too. E-Commerce is said to be the main sector that will benefit from developed chat-bots and it can be said that bot technology will come to life due to services and commerce.
Based on the advancements within this sphere, two empires, that of Facebook and Google have been set on a competition and who scores higher is a hypothetical question.
4) AI and the Future of Work
The lecture focuses on the broad range of AI and ML; and the dangers of such breadth. For more insight into this presentation, it would be better to view the original one first.
The presentation also cites several examples of how everyday menial tasks that a human does can be learnt and performed by machines.
Other recommendations entail the development of new jobs that have never existed before owing to the advanced aggressiveness associated with AI and the complementary fields. Interestingly enough, it is suggested that the nature of some jobs will be the very characteristics that are found only in humans. It finishes with a mantra- Get on the bus, don’t try and stand 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 to make better decisions. Every action exhibited by AI is a result of programmable inputs from its developers. A bias of an AI system is not inherent to the system, however, it is biased programming done by a human being. Similar limiting factors like the call for majority regulations and other issues within it which beg for consideration are also highlighted. The session in conclusion attempts to put across one major fact – The fear of AI should not be there, rather curiosity should be the main driving force.
6) Study: The Future of VR, AR and Self-Driving Car
Although no analytical exposition of the various facets of AI can be found, the presentation does provide some useful numerical answers to the many questions posed. Here is illustrated research about three topics in particular:
- artificial intelligence, virtual reality and wearable devices. They grouped different inquiries and the figures they provided answers to into four major areas: Would you buy a car that drives itself when they are available?
- Do you have any fears concerning the growing popularity of AI?
- Is there any form of smart wear appreciated in your typical day?
- Do you have or plan to buy a Virtual Reality device within the coming year?
From the consumers’ feedback to the countries’ general figures, the statistics indicate the present patterns and tendencies that may come to reality owing to the rapid advancements in the given systems.
7) Artificial Intelligence
Even though people may know AI, it is the conversations and advertisements about it that introduced many people to AI, and this has made them ignorant about its early developments.
This is a 2009 presentation with the main objective of clearly and concisely explaining the basics of AI. Additionally, there is also a historical overview of AI’s developments and a comprehensive overview of AI milestones timelines up to 2009. The presentation is ended by introducing learners to some of the programming languages used in AI such as LISP and PROLOG.
For those who would want to have a brief introduction to AI, because of the current trend, this presentation is sufficient.
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. In this regard, the presentation highlights how several early developed multinationals such as Google are increasing their AI capabilities by mergers and acquisitions.
There are also aspects concerning how venture capital(VC) is perceived in relation to the whole AI and machine learning space and more importantly, VC in the acquired firms has also been discussed.
Equally important is how companies are embracing ML and restructuring themselves around it, that it is not only pervasive in the US. An overview of the main themes has been provided using graphical images which explain themselves. The last point in the presentation deals with the future of ML accompanied by some of the tips that would help succeed in ML.
9) An Overview of Deep Learning: Looking Back, Analyzing, and Forecasting Developments in AI.
The purpose of this presentation is to present detailed information on deep learning. It starts with the historical background of AI and touches on the fundamentals of machine learning e.g. its taxonomy and then it turns fully to deep learning.
Trained networks in the form of recurrent neural networks as well as generative antagonistic networks have been studied in great detail. Major features of some of those networks as well as other mediums including natural language engineering have been looked at in detail.
Application-based examples and illustrations about the weight of deep learning can be found in many places in the presentation. However, this presentation would be difficult for readers who are encountering AI for the first time.
10) The Future Of Work & The Work Of The Future
The issue of interactions between self-learning robots and machines is brought up here. When addressing the fictional Babel fish, it is believed that the world of technology as it is today, making machines learn and translate aided in the close reality of the Babel fish.
Emerging ‘power’ paradigms, such as speed, networked governance, cooperation, and openness, among others, have been proposed and related to the previous ones that are not predominantly tech-based.
Diverging from the mainstream notion that machines and their robotic counterparts will take over human beings, the presentation maintained that we are on the edge of the highest influx of job creations in humankind.
11) The Artificial Intelligence Policy Framework in Asia
The appeal is an informative paper of The MIT Technological Review on the accelerated global spread of AI, and how Asian countries are leading this effort. The paper states that this rise in AI technology will not only provide a significant economic advantage to Asia but also, it will be Asia that will be at the forefront of dominating such technology.
For the review, all the above data has been presented in the visual form of some graphical representations. They find a quantitative expression of the emotions around the very idea of A. D. I. adoption, in its various sectors and examine development within and its possible effects on the human capital.
Finally, Asis business leaders are provided with pointers on how to take advantage of AI technology along with its timeline history in the infographics.
12) 10 Lessons Learned from Building Machine Learning Systems
While they are different presentations, they both cover the field of machine learning. The presentations summarize the machine learning frameworks in use at the entertainment service Netflix and the question-and-answer website Quora.
In the case of Netflix, emphasis has been placed on metric selection and training versus testing data. Also, it stresses how the data is related to the models used. The recommendation to focus optimization efforts solely on the significant areas.
The second presentation on Quora is about teaching machines just that which is necessary. It calls for being more feature engineering-oriented and more specific about the ML infrastructure. Another aspect it focuses on is how combining supervised and unsupervised is what turns out to be the backbone of ML usage.
13) Artificial Intelligence and Design Ethics
This presentation with 135 slides describes in detail how to create ethically designed AI. It starts with the concepts of User Experience(UX) design and proceeds with the aspects that need to be followed while designing.
The history of UX in design, its evolution from experience design to intelligence design and its prospects are also expounded.
The presentation makes use of powerful images and in addition, it addresses many topics that are important including the type of intelligence, the reason for its being, its self-awareness and the aim for which it has been made.
It makes an interesting observation that when one is building AI, it is a case of someone making something out of themselves that they do not possess.
14) The Concept of Artificial Intelligence
Created for a school competition in 2009, it showcases many examples of advanced AI technologies in use back then.
Some of the examples like mind-controlled prosthetic limbs, Ultra Hal Assistant and Dexter- the robot take us back to the age when AI applications were straight out of science fiction. It provides a list of sectors that AI could help humankind And finally, presents the conclusions with several of the questions which still have no answers. For instance, ‘machines will take over humans’ and ‘humans will lose jobs because of machines’.
