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.
The most popular presentations are the ones that have received the most number of likes and have been viewed more than the other presentations in a particular category.
AIM brings you the 14 most popular presentations on Artificial Intelligence, Machine Learning. Deep Learning and everything else in between.
People who are not aware of what artificial intelligence is will find the topic presented in a very simple manner here.
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 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.
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.
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.
This presentation talksabout 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, dont jump in front of it.
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 AIs 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 Dont fear AI, Explore it.
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.
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. AIs 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.
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.
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 learners of AI to comprehend.
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.
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.
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.
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.
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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14 Most Popular Presentations On Artificial Intelligence ...