SlideShare is the go-to platform for many to get a quick overview of a subject or a breakdown of a concept. The summaries featured in many presentations are concise and informative.
The most popular presentations are those that have received more likes and views than other presentations in a particular category.
AIM will bring you 14 of the most popular presentations on everything from artificial intelligence, machine learning, and deep learning.
Best AI PPT and Topics for 2024
1) Overview of Artificial Intelligence and Law
For those who don’t know what artificial intelligence is, you will find the topic explained here very simply.
Along with explaining what AI is, we discuss two main approaches to AI: logic and rules-based and machine learning. There is a particular focus on the machine learning approach, as can be seen in the slides devoted to a detailed discussion of it. This discussion goes beyond a basic explanation of what machine learning is, and also includes examples of proxies that look like machine learning but aren't.
This presentation will provide examples of AI in the legal field and identify some of the limitations of AI technology.
2) What is Artificial Intelligence – Artificial Intelligence Tutorial for Beginners
This presentation provides an ideal overview of AI for beginners. The question is raised at the beginning that AI is a threat. However, as the presentation progresses, we will cover the foundations necessary to understand AI. We will answer the most basic question: what is artificial intelligence?
It also includes a brief history of AI and a discussion of recent advancements in the field. It lists the various areas where AI is currently being used. The presentation also covers how AI will be utilized in the future. Two approaches to achieving AI are mentioned: machine learning and deep learning.
Overall, this presentation serves as a brief introduction to AI.
An exciting application of AI is in chatbots. Here, we explore the limitless possibilities of chatbots. We list various milestones achieved by leading players in bot technology such as Facebook, Skype, and KIK.
The evolution of chatbots and the further absorption of AI in the future are also being considered. E-commerce is touted to be the biggest beneficiary of chatbot advancements, and bot technology will contribute to the development of services and commerce.
The two tech giants, Facebook and Google, are competing with each other based on their continuous development in this field, raising the question of which one will be the strongest.
4) AI and the Future of Work
This presentation will explore the broad applicability and dangers of AI and ML. To better understand this presentation, we recommend watching the original talk first.
Throughout the course of the presentation, there will be numerous examples of how machines can learn and perform human tasks that are repetitive in nature.
Another possibility is that the aggressive use of AI and other related technologies will lead to the creation of new jobs that humans have never performed before, and that uniquely human characteristics may be the basis for these jobs.
The final message is “Get on the train, don't jump off.”
5) Demystifying AI and Machine Learning
In this presentation, Carol Smith argues that AI cannot replace humans. She says that AI can serve the purpose of helping humans make better decisions.
The slides explain how AI behavior is the result of human input fed into its programming, emphasizing that AI biases are not the AI's own, but the biases of the humans it is programmed with.
Other issues such as the need for regulation and other considerations that need to be addressed are also touched upon. The message conveyed in the presentation is “Don't fear AI, explore it.”
6) Research: The future of VR, AR and autonomous vehicles
While you won’t find a detailed breakdown of topics related to AI, the presentation does provide some interesting numerical insights into many questions. Here, statistics are provided on three main themes: artificial intelligence, virtual reality, and wearable technology.
The various questions and the numerical representation of their answers fall into four main categories:
- Would you buy a self-driving car when it becomes available?
- Are you concerned about the rise of artificial intelligence?
- Is wearable technology part of your daily life?
- Do you own a virtual reality headset or plan to buy one in the next 12 months?
Ranging from consumer opinions to overall agreement across countries, the figures show current trends as well as likely future trends based on the evolving development of the mentioned technologies.
7) Artificial Intelligence
Many people have only recently become aware of AI due to the buzz surrounding it, and some may not be aware of the early developments that led to its current status.
This presentation from 2009 gives a simple yet informative introduction to the fundamentals of AI. You'll find the history of AI and a timeline of all the important milestones in AI up until 2009. The presentation also introduces AI programming languages such as LISP and PROLOG.
This presentation is perfect for anyone looking for a crash course in AI fundamentals to stay up to date on the latest developments in AI.
8) Solving Problem X with AI: A VC perspective on the state of machine learning and AI
Although the concepts of AI and ML are not mentioned, other important aspects are discussed. The presentation discusses how many well-known tech giants, such as Google, are strengthening their AI capabilities through mergers and acquisitions.
We discuss the role of venture capital (VC) in the AI and machine learning space and their involvement in acquired companies.
Another emphasis is that large companies are moving to and restructuring around ML, and that it is not a US-centric phenomenon. The key points are expressed in the form of easy-to-understand graphic representations. The presentation ends with a look at the likely directions ML will go and some tips for success with ML.
9) Deep Learning – The Past, Present, and Future of Artificial Intelligence
This presentation provides a comprehensive insight into deep learning. It starts with a brief history of AI and an introduction to the basics of machine learning such as classification, before shifting the focus entirely to deep learning.
We have discussed in detail different types of networks like Recurrent Neural Nets and Generative Adversarial Networks, with emphasis on key aspects of these networks and other mechanisms like Natural Language Processing (NLP).
Practical applications and the scope of deep learning are detailed throughout the presentation, however, for those new to AI, this presentation may be difficult to follow.
10) The Future of Work and the Future of Jobs
This brings up the theme of robots and self-learning machines, and in the case of the fictional Babel Fish, it suggests that technological advances have improved machine learning and translation, making the Babel Fish almost real.
New “power” values such as speed, networked governance, collaboration and transparency are put forward and contrasted with older values that are not entirely technology-driven.
Contrary to the common assumption that robots and machines will replace humans, the presentation proposes that we are on the brink of the greatest period of job creation in human history.
11) Asia's Artificial Intelligence Agenda
This presentation was MIT Technology Review The report also highlights how Asian countries are accelerating the global adoption of AI, suggesting that Asia will not only benefit greatly from the development of AI technologies, but will also be one to define them.
The data collected for the study has been compiled in the form of a simple infographic that quantitatively reflects the mood around AI adoption in various industries and how it may impact human capital. The study also shows that despite awareness of AI in Asia, very few companies are investing in it.
Finally, an infographic timeline of the history of AI will be presented, along with tips for Asian business leaders to leverage AI.
Download the review report in PDF format
12) 10 lessons learned from building machine learning systems
The two presentations are separate but cover the same topic: machine learning. The presentations summarize an analysis of the machine learning employed by two platforms: Netflix and Quora.
For Netflix, the emphasis is on choosing the right metrics and types of data to use for testing and training, and the need to understand the dependencies between the data you use and the models you employ, with the advice to only optimize areas that matter.
The second presentation on Quora talks about teaching machines only what they need to know, with an emphasis on feature engineering and the need to think carefully about your ML infrastructure. It also emphasizes that a combination of supervised and unsupervised learning is key for ML applications.
13) Artificial Intelligence Design Ethics
This presentation uses 135 slides to provide thorough insights into creating ethically sound AI. Following an overview of the subject of User Experience (UX) design, it discusses the rules that need to be taken into account during the design process.
We will also discuss the chronological progression of UX, starting with experience design and ending with intelligence design, and where this process is heading.
Backed by powerful visuals, the presentation touches on many important considerations, including the nature of intelligence, the purpose of existence, self-awareness, and the need for AI to be created.
This raises a pertinent point that as humans create AI, they are also creating something that embodies qualities that we lack.
14) Artificial Intelligence
It was created for a schools competition in 2009 and showcases many of the most cutting-edge applications of AI at the time.
Many examples such as mind controlled prosthetic limbs, UltraHal assistants, Dexter the robot, etc. provide a trip down AI memory lane where the applications of AI seem straight out of a science fiction novel.A list of areas where AI can assist humans is presented.
In conclusion, several questions are raised such as machines replacing humans and unemployment of humans due to the use of machines, some of which are still under debate.
