80 Stories To Learn About Artificial Intellingenceby@learn
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80 Stories To Learn About Artificial Intellingence

by Learn RepoJanuary 28th, 2024
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Learn everything you need to know about Artificial Intellingence via these 80 free HackerNoon stories.

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Let's learn about Artificial Intellingence via these 80 free stories. They are ordered by most time reading created on HackerNoon. Visit the /Learn Repo to find the most read stories about any technology.

1. The Real Issues With Artificial Intelligence: Privacy and Profiling

For the purposes of this essay, both neural networks and a nonspecific future artificial intelligence will be called “AI”.

2. Approaching AI Model Deployment the More Efficient Way

Organizations using Artificial Intelligence (AI) and Machine Learning (ML) solutions face a challenging problem.

3. Design a Real-time Player Matching Algorithm For Chess Games

Building a Player Matching Algorithm for Multi-Player Gaming World.

4. 5 Ways to Improve Customer Experience With AI

Artificial Intelligence(AI) is improving the customer experience by providing personalized services. Here are 5 ways AI is helping brands better serve their CS.

5. Three AI Ethics Questions That Soon Will Need Real Answers

In 1950, Alan Turing first proposed a means to determine if a machine had developed the ability to think independently, giving rise to the concept that we now recognize as artificial intelligence (AI). Almost immediately afterward, researchers, journalists, and politicians began to ponder the implications of such a technology, wondering what sort of ethical constructs would be necessary to regulate it.

6. Save Alexa: Take an Intersectional Approach

Have you ever wondered why so many robots, virtual assistants, and AI are programmed with feminine traits? Have you ever pondered, if there were more women behind the algorithms, how AI would be different — not just vocally and aesthetically, but functionally?

7. Can Deepfake Destroy Hollywood?

Artificial Intelligence is a real thing. The building blocks are readily available to anyone who can afford to rent GPU power and string together Python code. As technology advances and it becomes easier to manipulate the human form with AI, will Hollywood continue to exist?

8. Digital Skills as a Service (DSaaS)

Have you ever think what will be in the future with your experience and skills that you are getting during your lifetime?

9. Why AI is the Future of Restaurant Sales

Think about all of the things you could do with unlimited data and insights about your sales. Now, think about all of the things you could do with future data and insights about your sales?

10. Assessing the Impact of AI on Fine Art: Threat or Opportunity

Last October was something of a watershed moment for contemporary generative art with the first sale by auction of a portrait generated with the help of artificial intelligence (AI) for $432,500, titled “Portrait of Edmond Belamy”. The event garnered a huge level of public interest, and received widespread media coverage across several major outlets, including the NY Times, the Washington Post and the Miami Herald, and from leading online Art news platforms Artsy and Artnet, among others. Aside from the final sale price greatly exceeding the original estimated sale price of $10,000, one of the most interesting aspects of this episode was how it was characterized by the media at large.

11. Your Data is the DNA of Artificial Intelligence

As society becomes increasingly AI-driven, the essential raw material to create artificial intelligence is your data.

12. How a Data Scientist Sees a Deck of Cards

The Data Scientist Creativity Paradox

13. Top Benefits of Incorporating Machine Learning Into Business Processes

Machine learning and Artificial Intelligence have created a lot of buzz in the business sector. Marketers and business analysts are curious to know about the benefits and the applications of machine learning in business.

14. How Buy Now Pay Later (BNPL) Is Bringing E-Commerce into the AI Era

AI is an extremely beneficial technology for business. Buy now pay later (BNPL) is an emerging form of e-commerce that shows exactly why this is true.

15. Bots + Legaltech = Meet AILIRA

Ailira ( the ”artificially intelligent legal information research assistant”, is an AI chatbot that uses natural language processing. The chatbot has been designed to understand and process sophisticated technical legal questions & search quickly. Ailira was created by Adrian Cartland, the founder of Cartland Tech and the law firm without lawyers.

16. Chatbots: Yay or Nay? Why and Why Not?

This Slack discussion by Sadia Mehmood, Alfredo de Candia, Klein, , Golda Velez, Linh Smooke, David Smooke, Shahmeer Khan and Sidra occurred in slogging's official #general channel, and has been edited for readability.

17. EagleEye Introduction: Outdoor Video Surveillance Analytics & Facial Recognition Software

I did lot of research as well developed this software system using various Machine learning methods. I have spent around one year on this project to implement this technology for a local state government. Unfortunately It didn't materialised. But I am interested in contributing to open source community. It can accurately identify, segment, recognise objects in video feeds (92 types of semantic attributes of a person in video feeds). The most interesting part is the accuracy of our facial recognition of wild shots from street cctv cameras.

18. How Artificial Intelligence Will Transform Businesses

19. AI is Not the Future of Education - Here's Why

AI has been gradually sliding into every single area of our lives and the world of education is not an exception.

20. Shaping The Future of the Healthcare Industry with Artificial Intelligence (AI) Technology

Artificial Intelligence (AI) has the capability to modernize recurring processes for clinicians. This increases the efficiency and accuracy of patient care.

21. The Simplest Way to do Exploratory Data Analysis(EDA) using Python Code

EDA for Data Analysis or Data Visualization is very important. It gives a brief summary and main characteristics of data. According to a survey, Data Scientist uses their most of time to perform EDA tasks.

22. A Step-by-Step Guide to Failing a Data Science Project

As posited by Lev Tolstoy in his seminal work, Anna Karenina: “Happy families are all alike; every unhappy family is unhappy in its own way.” Likewise, all successful data science projects go through a very similar building process, while there are tons of different ways to fail a data science project. However, I’ve decided to prepare a detailed guide aimed at data scientists who want to make sure that their project will be a 100% disaster.

23. Selected by Virtual Headhunters

AI has become indispensable for great matches in recruiting for jobs

24. How AI Revolutionizes Cancer Prognosis

Artificial intelligence is a strong instrument that has the potential to save lives Know more about how AI is revolutionising cancer treatment globally.

25. 7 Ways AI & Robotics Are Disrupting Healthcare Right Now

When thinking of robotics and AI in healthcare, robotic surgery and exoskeletons are what probably comes to mind first. Yet in reality, there’s a multitude of other ways automation and machine learning are changing medical care practices at their core.

26. AI and Remote Workers: Top Apps To Boost Your Productivity

When the COVID-19 pandemic forced life to shift online,modern tech was a saving grace. Team collaboration software allowed newlydistributed workforces to organize themselves, VPN provided access to workplace networks, and Zoom calls covered everything from sales meetings to Yoga classes.

27. Positive Applications for Deepfake Technology

The video industry is in the midst of a technological revolution, as the exploration and application of artificial intelligence, machine learning, and deep learning radically expand the possibilities for business practices.

28. AI vs ML: What's the Difference?

Learn the distinctions between AI and ML with vivid examples.

29. AI’s Impact in 2020: 7 Trends to Watch

As the need for additional AI applications grows, businesses will need to invest in technologies that help them accelerate the data science process. However:

[30. New Way for Business Optimisation is Out Now:

Rake System and Their Success Story]( The Rake system understands and manages client requests related to company services. Regardless of the requests: text, voice - Rake’s chatbots understand and process all of them using artificial intelligence. The chatbot has been designed for W5Golf, and is the company that provides customer experience optimisation solutions and helps develop customer experience strategies that deliver results. The company’s solution helps to strengthen relationships with your customers by providing a system that optimises relevant engagements and improved services.

31. Is AI Really Disrupting the Way We Live and Work?

As artificial intelligence becomes more and more integrated into our workplace and daily life, it will fundamentally disrupt the way we live and work. A recent survey of 5,700 Harvard Business School alumni found that even in the elite group, 52% believe that the number of employees in general companies will decrease in the three years from now.

32. The Benefits and Risks of Artificial Intelligence

In 1955, only 15 years after the development of an electronic computer, scientists introduced the world to the concept of artificial intelligence, commonly referred to as AI. In the decades that followed, we saw unprecedented advancement in this space.

33. How to Perform Emotion detection in Text via Python

In this tutorial, I will guide you on how to detect emotions associated with textual data and how can you apply it in real-world applications.

34. Artificial Intelligence is Re-Shaping the FinTech Industry

Artificial Intelligence is no longer in its infancy. In an age where algorithms can comprehend complex language, drive safely on busy roads, and even diagnose illnesses, it is fair to say that the field has advanced far enough as to have genuine, real-world implications.

35. The Future of Human In The Loop

Since the 1980’s, human/machine interactions, and human-in-the-loop (HTL) scenarios in particular, have been systematically studied. It was often predicted that with an increase in automation, less human-machine interaction would be needed over time. Human input is still relied upon for most common forms of AI/ML training, and often even more human insight is required than ever before.

36. The Irresistible Automation of Talent Acquisition

The automation of part of the recruitment process finally seems to be a reality thanks to the significant progress made in artificial intelligence (AI) and machine learning .

37. Corporate AI Transformation: How to Not Throw Mud Against the Wall

In order for existing organizations to undergo a successful AI transformation, companies must remember that they are creating human-machine teams.

38. 6 Business Technology Trends in 2020

Technology is not only shaping our lives, but it is also affecting how business is done and how successful it will be. Not only are there discoveries, innovations, and inventions, trends keep evolving and humans have to dance to the tune. Let’s face it, the future is now! To drive this point home, China has been setting the record from artificial intelligence to Alipay (an online mobile payment service that makes the transaction easy at anytime and anywhere).

39. Artificial Neural Network is Revolutionizing The Future of the Translation Industry

Acquisition of neural machine translation is evolving with the speed of light for translating complex documents with a high rate of accuracy and efficiency.

40. Takeaways And Quotes From The World’s Largest Kaggle GrandMaster Panel

41. Artificial Intelligence Vs. Machine Learning Vs. Deep Learning [Explained]

Artificial Intelligence (AI) is a computer’s attempt to imitate human intelligence. Where as Machine learning focuses on analyzing large chunks of data and learning from it. On the other hand, Deep learning allows the computer to actually learn and differentiate and make decisions like human.


Today we hear a lot about artificial intelligence (AI), the term is often discussed in various media channels. It is new and modern. Everyone talks about the impact and implementation of this revolutionary technology. However, not many know the current stage, it is now, not to mention, what benefits and risks entails. AI is an intelligence presented by machines that performs complicated tasks such as learning, analyzing and performing different processes. Technology is more advanced than its predecessors because it can produce similar "cognitive" functions for humans.

43. Top 6 Applications of Natural Language Processing in Healthcare

For many healthcare providers, the industry is shaping up to be more of a shifting quandary of regulatory issues, financial turmoil, and unforeseeable eruptions of resentment from practitioners on the edge of revolt. The industry is now taking the opportunity to scale up their big data defenses and develop the technological infrastructure required to meet the imminent challenges.

44. 9 Reasons Why You Should Keep Learning Machine Learning

Machine Learning is an application of Artificial Intelligence. It allows software applications to become accurate in predicting outcomes. Machine Learning focuses on the development of computer programs, and the primary aim is to allow computers to learn automatically without human intervention.

45. Business perspective in the Future of AI development by 2025

“Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing. We're nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.” —Larry Page (CEO of Alphabet)

46. 8 Enterprise Software Companies Using Artificial Intelligence to Transform Workspace

Artificial Intelligence (AI) has taken the forefront of conversations from employers across the globe. AI is helping organizations make incredible strides in efficiently handling mundane and repetitive tasks and freeing up valuable time and thought space that employees can use to exercise more creativity, solve complex problems, and otherwise focus on the bigger picture.

47. 5 Types of Machine Learning Algorithms You Should Know

Machine learning has become a diverse business tool to enhance the various elements of business operations. Also, it has a significant influence on the performance of the business. Machine learning algorithms are used widely to maintain competition with different industries. However, there is a different type of algorithms for goals and data sets. The selection of an algorithm depends on user role and the purpose. If you are using Linear regression, then you can quickly implement or train rather than other machine learning algorithms. But the drawback of this algorithm is that it is not applicable for complex predictions. So you should know about the different types of machine learning algorithms for getting better results.

48. An Early Glance Into The Best Tech Trends: 2020 Edition

10 years may seem like a long time, but it can feel like an entire lifetime in the world of technology.

49. Learning by Producing: Generative Adversarial Networks

The machines have been trying to learn to recognize and identify the photos they have seen for years. In 2013, it succeeded in reaching the human level. Machine learning systems have provided simple output from a complex input. It can detect almost all details of a photos and display users exactly want they want.

50. Voice-Controlled Smart Gadgets: Let Them Find Your Devices

Have you lost your stuff again and trying to think where you placed it again? But thank God you have tile tracker placed on it. But still having trouble finding it? Well, it's not hard. Just ask Alexa to do it. Your detective in the house will help you solve the mystery of finding your item. In this article, we will discuss the spectacle of using Alexa to find your missing item with the help of ole tracker.

51. “AI Sells, Data Delivers!”


52. L1ght Leverages AI To Defeat Online Toxicity

Some people debate whether AI will be the ultimate win or the ultimate loss for humanity, so what’s better than AI that is being developed purely for the sake of our children?

53. How Does the Bank of the Future Work?

Gone are the days when banking services were standardised and restrictive. Evolving digital technologies, shifting consumer preferences and increasing competition are creating new challenges for banks.

54. How Technology is Promoting Individual Democracy

Technology is like a double-edged sword when it comes to spreading democracy. Not only does it have the means to support this governance method, but also to suppress it completely. We’ve unfortunately seen multiple occasions where the amazing developments of AI experts were used for “awful” means by various authoritarian governments all over the world.

55. Artificial Intelligence and The Future of Human Race

Would our lives look like Jetsons with the rise of Artificial Intelligence? Would robots become self-aware and take charge? Would it let us exercise free will? If these matters concern you, know that you need to understand AI better. Scientists are building machines which are considered intelligent, making our future exhilarating and full of surprises.

56. From Zero to 45k Users: How We Created a Chatbot To Track Airfares

Everything started when my mate was going on a vacation to Spain. Every single day, he checked the airlines’ websites to find the cheapest ticket and manually monitored prices of a certain flight. All these attempts were tedious, humdrum, and time-consuming for him.

57. How to Manage Machine Learning Products Part I: Why is managing machine learning products so hard?

In my previous article, I talked about the biggest difference that Machine Learning (ML) brings: ML enables a move away from having to program the machine to true autonomy (self-learned). Machines make predictions and improve insights based on patterns they identify in data without humans explicitly telling them what to do. That’s why ML is particularly useful for challenging problems that are difficult for people to explain to machines. It also means that ML can make your products more personalized, more automated, and more precise. Advanced algorithms, massive data, and cheap hardware are enabling ML to become the main driver of GDP.

58. "FinTech Wave-2 isn't Digital, It’s Hybrid." Lessons from Wave-1 and What’s Next?

Fintech represents the collision of two worlds — Financial services and technology, and with this union comes, both disruption and synergies. Fintech came of age in the aftermath of the 2008 financial crisis. New regulations and changing consumer demands began to emerge as the world tried to pick up the pieces of the “great recession”.

59. Time Travel Through 2010s Technology: Part 2

In the first part of the series “Time travel through 2010s technology” we looked at how operating systems, phones, tablets, smartwatches and smartglasses changed through the last decade. The 2010s changed how we interact with technology, but more importantly, how we think about the impact it has in our lives.

60. Revolution of Artificial Intelligence in E-commerce in 2020 And Benefits of Incorporating It

The eCommerce industry is on its way to grossing $700 billion by the year 2022. The use of artificial intelligence or machine learning in eCommerce is paving the way to the online portals that are easy to use, safe, and profitable.

61. This Image is Red

The 99% Accurate Machine Learning Algorithms You Shouldn't Buy

62. An Introduction to Automation in Vision AI

Levels of Annotation Automation

63. 5 Ways AI Can Help Grow Your Small Business

“I’m sorry, Dave. I’m afraid I can’t do that.” This iconic quote from the 1968 classic film 2001: A Space Odyssey is what many people think of when the term Artificial Intelligence is broached. AI has been portrayed in science fiction as something to be wary of and to keep tabs on. AI has a long way to go before we see computers like HAL, but the technology, while in its infancy and requiring special personnel to use it, is cropping up in the business world, and not just in tech giants like Apple or Google.

64. Fintech: The Main Attractions of This Bustling Industry

Financial technology, or Fintech for short is a relatively avoided topic among tech enthusiasts, developers, programmers and etc. The reason is very simple actually. Developers don’t necessarily refer to their software as Fintech even though it’s quite literally associated with the financial industry.

65. How Artificial Intelligence (AI) Can Help In CCPA Compliance?

California Consumer Privacy Act (CCPA) was passed recently in the USA state of California and will be implemented by 2020. This new regulation is transforming the privacy policies of businesses dealing with the data of Californian users.

66. How Big Data Is Disrupting Big Business Right Now

Image Credit: Unsplash

67. AI in Media: Can a Silicon-Brained Journo Beat a Flesh ’n Blood One?

This year brought us two Nobel prize nominees in literature. Feels like there’s a “buy one get two” promotion going on, and that’s good! More awarded authors - better stories.

68. 7 ways AI Revolutionizes Cancer Prediction, Detection, and Treatment

Is AI such a great tool for cancer detection? It has its merits in healthcare, but many are worried about the consequences it can bring.

69. How AI is Impacting the Digital Marketing Landscape

Technology has always influenced the way a product is marketed. In fact, that’s how we went from traditional marketing to digital marketing. Now, we have more advanced technologies impacting the way digital marketing works. AI or Artificial Intelligence is one such example.

70. Content Recommendation and Cognitive Biases

Artificial Intelligence (AI) is a fascinating invention of mankind. Fusing the computational power of a machine with the intellect of a human undoubtedly creates new possibilities of innovation and tremendously increases the likelihood of realizing those which were already conjectured.

71. [Explained] Machine Learning Fundamentals: Optimization Problems and How to Solve Them

If you start to look into machine learning and the math behind it, you will quickly notice that everything comes down to an optimization problem. Even the training of neural networks is basically just finding the optimal parameter configuration for a really high dimensional function.

72. How to Nail Your Content Strategy Using AI

Artificial Intelligence (AI) has numerous business applications and is increasingly being adopted by companies worldwide. In fact, 37% of businesses leverage AI in some form or another. Content is one such area where AI can help brands and marketers get the best results.

73. What Neural Networks Teach Us About Schizophrenia

Pretrained Artificial Neural Networks used to work like a Blackbox: You hand them an input and they predict an output with a certain probability — but without us knowing the internal processes of how they came up with their prediction. A Neural Network to recognize images usually consists of around 20 neuron layers, trained with millions of images to tweak the network parameters to give high quality classifications.

74. How to Deploy Machine Learning Models to the Cloud Quickly and Easily

Machine learning models are usually developed in a training environment (online or offline). And you can then deploy them and use them with live data.

75. [Interview] Halfcode CEO Richard Black on Using AI for Good

Remember the day when Steve Jobs announced the very first iPhone? Two important things happened that day. Number one, the world was getting a first glimpse at a new technology that was like no other: being able to touch your phone and therefore have the entire world at the tips of your fingers. Number two, everybody was certain this new technology would take over and somehow rule the planet in the next few years.

76. A Full Time ML Role, 1 Million Blog Views, 10k Podcast Downloads: A Community Taught ML Engineer

As the title mentions, this is a quick recap of a community taught ML Engineer's journey.

77. Move Fast and Break Things? The AI Governance Dilemma

AI is the future and there’s lots of money to be made from it. But organisations keep making the news over AI governance failings, such as Microsoft’s chatbot that turned racist and google images labelling African-Americans as gorillas. We’re seeing a growth of ethics and governance councils but with mixed success - Google shut theirs down.

78. Why I Left Red Hat

Everybody remembers their first time.

79. [Tutorial] Build a Gender Classifier for Live Webcam Stream using Tensorflow and OpenCV

Training a Neural Network from scratch suffers two main problems. First, a very large, classified input dataset is needed so that the Neural Network can learn the different features it needs for the classification.

80. Artificial Intelligence: Drawing Inspiration from Human Capabilities

This video is both an introduction to the recent paper Thinking Fast and Slow in AI by Francesca Rossi and her team at IBM, and to Luis Lamb's most recent paper

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