For a summary of subject matter and concept breakdowns, SlideShare serves as a go-to platform for many. The summaries found in many presentations are concise and informative.
The topics of the most popular presentations receive many likes and are displayed more than other presentations in a particular category.
AIM brings you 15 most popular PPT topics related to artificial intelligence, machine learning. Deep learning and everything else in between.
1) Overview of Artificial Intelligence and Legal
Those who don't know what artificial intelligence is will find topics presented here in a very simple way.
In addition to explaining what AI is, we will discuss two main approaches to AI. A logic and rule-based approach, and a machine learning approach. It can be seen in slides dedicated to its detailed examinations, with a particular emphasis on machine learning approaches. This exam goes beyond the basic explanation of what machine learning is and provides examples of proxy that look like but not machine learning.
The presentation lists examples of AI in the legal field, identifying some of the limitations of AI technology.
2) What is Artificial Intelligence – Artificial Intelligence Tutorial for Beginners
For beginners, this presentation provides an ideal overview of AI. The issue of AI as a threat is first raised. However, as your presentation progresses, we will explain the basics you need to understand AI. It answers the most basic questions about what artificial intelligence is.
We also found a brief history of AI and a discussion of recent advances in the field of AI. It lists the different areas where AI is currently looking at practical applications. The presentation also has attractive uses that allow AI to be placed in the future. It touches on two approaches to achieving AI: machine learning and deep learning.
Overall, this presentation serves as a quick introduction to AI.
The exciting application of AI is found in chatbots. Here we explore the infinite range of chatbots. The various milestones reached by major players in bot technology such as Facebook, Skype, and Kik are listed.
The evolution of chatbots and the absorption of more AI in the future are also being considered. E-commerce is touted as the biggest beneficiary of chatbot advancements, with bot technology owing to rising services and commerce.
Two tech giants, Facebook and Google, are opposed to each other based on the ongoing developments in the field and the question of who will emerge as the best is raised.
4) The future of AI and the work
This presentation explains the distant applicability of AI and ML, and the risks of its applicability. To better understand this presentation, we recommend watching the original talk first.
Many examples of how to learn and perform essentially repetitive human work are cited during the course of the presentation.
Other possibilities proposed include the creation of new, unprecedented jobs for humans as a result of the active use of AI and other related technologies. Qualities, which are unique to humans, may be the basis for which these jobs are created.
It concludes with a message – don't jump on the train and do not jump before.
5) AI and machine learning have split
In this presentation, Carol Smith establishes that AI cannot replace humans. Smith tells us that it serves the purpose of enabling AI to make better decisions.
The slides talk about how AI actions are the result of human inputs that enter programming. The bias in AI is not unique, but it emphasizes programmed human bias.
Other issues are also touched on, such as the need for regulation and other considerations that require deliberation. A message will be left in the presentation. Don't be afraid of AI, explore it.
6) Research: The future of VR, AR, and the self-driving cars
Although we cannot find a descriptive breakdown of topics related to AI, the presentation provides interesting numerical insights into many questions. Here we provide statistics on three main subjects: artificial intelligence, virtual reality and wearable technology.
The numerical representations of various questions and their responses are under four main categories.
- Would you buy a self-driving car when it becomes available?
- Are you interested in the rise of artificial intelligence?
- Is wearable technology part of your daily life?
- Are you planning to own or buy a virtual reality headset in the next 12 months?
From consumer opinions to the overall national consensus, the figures show current trends and potential future trends based on the increased development of the technology mentioned above.
7) Artificial intelligence
There have been many people who have been recently featured in AI for the topic surrounding it, and you may not be aware of the early developments that have led to current status.
This 2009 presentation will provide a simple and useful introduction to beginners in AI. You can find the history of AI and the timeline of all the important milestones of AI up to 2009. The presentation also provides an introduction to AI programming languages such as LISP and Prolog.
For those who want to have a crash course on AI fundamentals to keep up with current trends, this presentation is useful for your purposes.
8) Solve X with AI: VC view of machine learning and AI landscapes
The concept of AI or ML is not spoken, but light applies to other important aspects. The presentation will explain how well-known tech giants such as Google are strengthening their AI capabilities through mergers and acquisitions.
The role of venture capital (VCs) in the AI and machine learning landscapes and the involvement of VCs in acquired companies are mentioned.
Another point highlighted is how large companies move towards ML, reconstructing themselves around ML, and that it is not a US-centric phenomenon. The key points are expressed in the form of self-evident graphical representations. Finishing your presentation is the directions that ML may be able to take, and some instructions for achieving success in ML.
9) Deep Learning – Past, present and future of artificial intelligence
This presentation provides comprehensive insight into deep learning. Starting with an introduction to machine learning fundamentals such as the brief history of AI and its classification, the focus shifts to completely deep learning.
Different types of networks are discussed in detail, including recurrent neural networks and generative adversarial networks. Emphasis is placed on key aspects of these networks and other mechanisms such as natural language processing (NLP).
Detailed examples of practical applications and a range of deep learning can be seen throughout the presentation. However, this presentation can prove difficult for AI learners to understand for the first time.
10) Future of work and future work
Here we investigate the subject of self-learning for robots and machines. Talking about the fictional Babel fish, it is suggested that technological advances have improved machine learning and translation, making Babel fish almost realistic.
New “power” values such as speed, networked governance, collaboration, and transparency are presented and juxtaposed against the old ones that are not entirely technology driven.
Contrary to the general assumption that robots and machines will replace humans, the presentation suggests that we are on the verge of the greatest job creation period in humanity.
11)Asian Artificial Intelligence Agenda
This presentation is a briefing paper MIT Technology Review He talks about how global adoption of AI is being expanded by Asian countries. It suggests that Asia will not only benefit greatly from the rise in AI technology, but also define it.
The data collected for reviews are summarized in the form of simple info graphics. They numerically reflect the mood surrounding AI adoption in various industries and how it may affect human capital. Also, while this review has awareness of Asian AI, only a few companies are investing in it.
Pointers for Asian business leaders to leverage AI will ultimately be provided along with the presentation along with an information graphic timeline of AI history.
Download the review report in PDF
12) 10 lessons learned from building machine learning systems
They are two separate presentations, but we talk about machine learning on the same subject. The presentation is a summary of machine learning analytics adopted by two platforms: Netflix and Quora.
With Netflix, the emphasis is on choosing the right metrics and the type of data used for testing and training. It also emphasizes the need to understand the dependencies between the data used and the models adopted. Advice is provided to optimize only critical areas.
In Quora's second presentation, he talks about teaching machines only what is needed. It focuses on functional engineering and emphasizes the need to be thoughtful about ML infrastructure. Another point that it highlights is the combination of supervisor and unsupervised, which is key to ML applications.
13) Design ethics of artificial intelligence
Using 135 slides, this presentation provides thorough insight into creating ethically sound AI. An introduction to the subject of user experience (UX) design is followed by rules that need to be considered during the design process.
The progression of the UX time series starting with experience design and ending with intelligence design, as well as the direction in which this process is facing.
The presentation, supported by powerful visuals, touches on many important considerations, such as the nature of intelligence, the purpose of being, the recognition of the self, and the need for AI to be created.
While creating AI, we raise the appropriate point that humans are creating something that embodies the qualities that are lacking.
14) Artificial intelligence
Made for school competition in 2009, it offers many examples of AI cutting edge applications of the time.
Many examples of mind-controlled prosthetics, ultrahal assistants, Dexter and more – robots travel down AI memory lanes where AI applications looked like pages in sci-fi novels. It presents a list of areas where AI can support humans.
That concludes with a series of questions, some of which are still being discussed. The use of machines causes unemployment of humans and other machines that replace humans.
15) Artificial Intelligence (AI) – Impact on various sectors
The presentation provides an overview of Artificial Intelligence (AI) and covers its definitions, history, and applications. Investigate a variety of AI technologies, including machine learning, neural networks, and expert systems. The presentation discusses the impact of AI on a variety of sectors, including healthcare, finance and transportation. It also explores ethical considerations and potential risks associated with AI development. The future of AI has been investigated, highlighting emerging trends and potential advances. The presentation concludes by highlighting the importance of responsible AI development and the potential to revolutionize various aspects of human life, and also addresses concerns about work movement and privacy.
