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关于 Marvel Unlimited 你需要了解的内容:价格、套餐等级及其他信息

2026-04-25 10:55:51

The debate between reading physically or digitally is never-ending; both have their pros and cons. However, for those who like reading digitally, a great service to use is Marvel Unlimited. It’s Marvel’s own subscription service that allows you to read a ton of old and new comics.

\ It does seem, though, that a lot of people either have never heard of Marvel Unlimited or have completely forgotten about it. There are others who know about it but don’t know how it works. Not to worry. I’m going to give you a quick crash course on Marvel Unlimited. Then, after learning all the basics, you’ll have to decide for yourself whether it’s something you’ll be interested in or not.

What is Included in Marvel Unlimited?

The service gives you access to over 30,000 comics. New comics are available 3 months after publication. There’s also comic books exclusive to Marvel Unlimited, as part of its Marvel’s Infinity Comics line.

\ Now, the service has a lot of comics, but don’t get confused. That doesn’t mean it has every single comic in Marvel’s history. There’s quite a lot missing. For example, The Punisher 2099 (1992) only has issue #13 available. Nightwatch (1994) only has issues #5 and #6 available. Marvel Mystery Comics (1939) has a huge chunk missing, like 60 issues are missing from that run.

\ I’m not saying all of this to nitpick, but I want potential users to be aware that not every single comic that they’re looking for will be there.

\ With that being said, they are constantly adding old comic books to their catalog. So, I have to give them props for that.

How many tiers does Marvel Unlimited have? How much does each cost? Which to Choose?

Monthly and Annual

(I live in the U.S., so I’m going off U.S. prices.)

\ Like other subscription services, Marvel Unlimited has 3 different tiers: Monthly, Annual, and Annual Plus. Let’s go over what each has.

\ Monthly is $9.99 a month, while Annual is $69 a year. Both have the same exact catalog, the 30k-plus comics that we talked about earlier.

\ They do offer a free trial, so that can help you dip your toes into the service. If, after the trial, you’re still interested but cautiously hesitant, I would recommend just paying one month for the service. One month should be plenty to learn more about it and to find and read comics that you’re interested in.

\ What you should do after that month depends on how your experience was. Didn’t enjoy it or read everything that you were hoping for? Yeah, I would cancel it. However, if you think this is something you’re going to continue using for the foreseeable future, I would pull the trigger and go for the Annual tier. It’s $70, which can seem like a lot, but it’s a steal compared to how much a full year on the Monthly tier will cost you.

Annual Plus

So, those are the two tiers that I would recommend for newcomers. What about the third one? Annual Plus is the priciest, coming in at $99 a year. There’s a reason for the $30 hike in price, though. According to the Marvel Unlimited website, Annual Plus includes the same comics as in the Monthly and Annual tiers, a membership kit, and 10% off merchandise. It also states that it gives you “invites and access to Marvel events.”

\ I’m not going to lie. I have no idea what these “Marvel events” are. The only one I found was for a virtual X-Men anniversary event, and that was 3 years ago. However, Dave, over at Comic Book Herald, had this to say about the Marvel events:

\ “From what I’ve seen, this usually means a gathering at your local comic con, for example I’ve seen MU exclusive events with comics creators at Chicago’s C2e2 and New York Comic Con.”

\ The Marvel events and the discount are cool, but I think the reason most people would choose the Annual Plus tier is for the exclusive kit. The kit changes every year; here’s the current one (as of April 2026).

https://www.marvel.com/unlimited

Diehard Marvel fans would probably really enjoy getting the different trinkets, such as the pin, patch, and exclusive action figure. It’s not something that personally appeals to me, but if there was one that had a character I really enjoyed, I could see myself going for this extra tier.

\ Overall, I would say this tier is reserved for the super Marvel fans. For the more casual, I would definitely recommend the regular Annual tier.

Which Devices to Use?

The Marvel Unlimited website states that you can use it on iPhones, iPads, Android devices, and on the web. I myself have used it on an iPad and iPhone, and it works great. I’ve also used it on the Marvel Unlimited website, and I could not recommend it less. Your library isn’t available, and neither is your Continued Reading section. It’s also a giant pain in the ass to use the Marvel website search function. It just isn’t worth the trouble.

\ I’ve never used an Android device, but I don’t know why the app wouldn’t be as good as on iOS. So, without any confirmation, I’m going to assume it works great on Android devices. Great journalism at work, folks :+1:.

\ As for Kindle users, I have unfortunate news. Marvel Unlimited is not available on Kindle devices. I’m sure that tech-savvy people can get the app working on Kindle devices, but there’s no official way to do so.

Is Marvel Unlimited Worth It?

I’ve been subscribed to the service on and off for the last few years. I absolutely believe it’s worth it, and I would recommend that anyone give it a shot. Use up the free trial, pay for a single month, just give it a go. I will bet that you won’t be disappointed.

Read More

\ \

100篇博客文章,带你了解人工智能 头条新闻

2026-04-25 10:00:52

Let's learn about Ai Top Story via these 100 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the /Learn or LearnRepo.com to find the most read blog posts about any technology.

AI Top Story refers to significant news or developments within the field of artificial intelligence that gain widespread attention. These stories highlight pivotal advancements, ethical debates, or major applications of AI, shaping public understanding and future directions of the technology.

1. Imagic: AI Image Editing from Text Commands

This week’s paper may just be your next favorite model to date.

2. Deep Learning & Artificial Neural Networks: Solving The Black Box Mystery

I often hear people talking about neural networks as something as a black-box that you don’t understand what it does or what they mean. Actually many people can’t understand what they mean by that. If you understand how back-propagation works, then how is it a black-box?

3. Deploying Deep Learning Models with Model Server

Learn how to deploy deep learning models with Model Server.

4. 9 Cool Case Studies of Global Brands Using LLMs and Generative AI

Companies are using cutting-edge AI tech to get ahead of their rivals.

5. Computer Vision Is Solving Problems That Weren't Even On Our List

Replicating human interaction and behavior is what artificial intelligence has always been about. In recent times, the peak of technology has well and truly surpassed what was initially thought possible, with countless examples of the prolific nature of AI and other technologies solving problems around the world.

6. Neural Network Layers: All You Need Is Inside Comprehensive Overview

Explore an in-depth overview of various neural network layers, their history, mathematical formulations, and code implementations. The publication covers common

7. 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.  

8. Math GPT: Can AI Help Solve Unified Theory ?

What if we trained AI to complete equations instead of images of Cats?

9. Gain State-Of-The-Art Results on Tabular Data with Deep Learning & Embedding Layers [A How To Guide]

Tree-based models like Random Forest and XGBoost have become very popular in solving tabular(structured) data problems and gained a lot of tractions in Kaggle competitions lately. It has its very deserving reasons. However, in this article, I want to introduce a different approach from fast.ai’s Tabular module leveraging.

10. 5 Best AI Articles of the Month

Here are the five best articles related to artificial intelligence in May posted on Hackernoon.

11. Adversarial Machine Learning and Its Role in Fooling AI

shortly after the launch of Face ID, researchers from Vietnam breached it by a 3D face mask. Such attacks against ML-based AI systems come under adversarial machine learning.

12. Image Classification Model with Google AutoML [A How To Guide]

In this tutorial, I'll show you how to create a single label classification model in Google AutoML. We'll be using a dataset of AI-generated faces from generated.photos. We'll be training our algorithm to determine whether a face is male or female. After that, we'll deploy our model to the cloud AND create the web browser version of the algorithm.

13. AI's Dirty Secret: The Hidden Cost of its Environmental Impact

As AI's carbon footprint expands, the environmental impact becomes an increasingly critical issue. Check out 5 ways to build a sustainable AI-powered future.

14. How to Build an AI-Generated Procedural Application

Develop an AI-Generated Encyclopedia while managing Scaling Challenges, Error handling and Cost Reduction Strategies using OpenAI’s API

15. A Detailed Overview of How AI Detectors Work

Interested in finding out how AI detection works? Well, you are in for a treat. I'll keep it as simple as possible so that anyone can understand.

16. Tech Giants are in a Race to Dominate the AI Frontier

The evolution of AI is shaping up to be a dynamic and rapidly evolving landscape, with a few large companies currently leading the way.

17. Key Trends in AI-Driven Fintech: The New Paradigm

Technology is reshaping the operating-model of financial institutions fundamentally, and the attributes necessary to build a successful business.

18. The Magic of Feedback Loops: AI Takes Over

How did we let the algorithms take over our lives?

19. The Rise of AI Generated Films: Lights, Camera, Algorithm!

Let’s imagine the future of cinema that’s directed by Humans, and created by AI.

20. AI Created the Story and Artwork for a Spider-Man and Daredevil NFT Game

I used AI to create a story for an NFT game featuring Spider-man and Daredevil. The results were astonishing. Read this article to learn more.

21. Why Does Elon Musk Fear AI?

Elon Musk has many fears about AI, but there are positive as well as negative implications for the technology.

22. The Era of AI and The Spatial Web: What It All Means - Part 1

“For the first time in history, starting now, we have the roadmap. AGI is now possible.” — Dan Mapes, President, and Co-Founder, VERSES Technologies, and Direct

23. AI in Warfare: Progress, Ethical Concerns, and The Future of Military Technology

Artificial intelligence technology will drastically increase military power, and these will likely shape the nature and dynamics of conflict in the coming years

24. A Deep Learning Overview: NLP vs CNN

Artificial Intelligence is a lot more than a tech buzzword these days. This technology has disrupted almost every industry within a decade. Every company wants to implement this cutting edge technology in its system to cut costs, save time, and make the overall process more efficient with automation.

25. #Mythbusting 10 Artificial Intelligence Misconceptions

Today, misconceptions about AI are spreading like wildfire.

26. The Media Bias Problem: How AI Is Here to Help

Bias has always been a factor in the way we interpret the world. Let’s look at how various AI techniques can help weed out media bias

27. How Soon Will AI Kill Authentic Music?

How soon will music written by people fall out of favor? It's already happening as people become more comfortable vibing to machines.

28. Human Intelligence or Artificial Intelligence? We Need Both.

Artificial intelligence (AI) has reached a tipping point, leveraging the massive pools of data gathered by every app, website, and device in our lives to make increasingly sophisticated decisions on our behalf. AI is at work in our inboxes sorting and blocking emails. It takes and processes our increasingly complex requests through voice assistants. It supplements customer support through chatbots, and heavily automates complex processes to reduce the workload for knowledge workers. Evidently, devices can adapt on the fly to human behavior. 

[29. Where Can Dreams Take You?

The Art of Teaching Associative Thinking to Machines](https://hackernoon.com/where-can-dreams-take-you-the-art-of-teaching-associative-thinking-to-machines-by6r3yme) The idea of LensAI was born last year sometime in May. If you've missed Part I of my story, you can read it here -> How We Taught Artificial Intelligence to Sell.

30. Beyond Artificial Intelligence: Providing Insights to Your Customers

31. Weakness of AI Models in Terms of Mathematical Problem Solving

AI chatbots are still in the experimental phases to solve mathematical problems.

32. Difference Between Boosting Trees: Updates to Classics With CatBoost, XGBoost and LightGBM

Explore boosting trees' evolution: from AdaBoost to XGBoost, LightGBM, and CatBoost. Learn key updates & how to choose the right library for your needs.

33. AI: From ZERO to H…aving A Lot of Questions (Part I)

People are just like a Swiss Army Knife, but we are born with no tools on it. Everything we learn might become a new tool. With enough tools, we can accomplish everything. With the right tools, we can accomplish it faster, better and enjoy the endorphin rush.

34. ChatGPT’s Facebook-Like Rise: Don’t Get Hooked on Big Tech’s Bait Again

GPT-4, arguably the most powerful AI model ever, has just been released. Does it matter? Probably not as much as ChatGPT, probably not for the reasons you think

35. Using ChatGPT to Recover Amounts Owed by Your Client

Read how a CEO used ChatGPT to generate a scary email to get $109,500 owed to his company.

36. How Big Data and AI Help People Make Smarter Investments

Big data, artificial intelligence, and machine learning are some of the hottest technologies out there. Well, machine learning has existed since the late 1950s, and big data got first coined in 2005. However, it is only in the last decade, or so that computer engineers, scientists, and corporations have tried widespread implementations of these technologies.

37. How Predictive RBPs with DL can help get a vaccine for Corona faster?

The entire world is engulfed into a corona pandemic attack. At present, there are 191127 positive cases of noble COVID-19 infection all over the world with total fatalities of 7807 according to a report by the World Health Organization(WHO).

38. ICDAR 2021 Competition: Detecting Tables Using Image Recognition

To participate go to: https://competitions.codalab.org/competitions/26979

39. How AI Could Save the 3D Printing Industry and the Future of Machines

3D printing is a billion-dollar market with a variety of use cases- from healthcare, replicas to architecture, airplane parts.

40. How Advanced is Too Advanced? Exploring the Boundaries of AI and Automation

As technology advances, so does the potential of artificial intelligence (AI) and automation to disrupt our lives.

41. Leverage Blockchain-based Data Sharing for AI-powered Networks [A How-To Guide]

Recent developments in Artificial Intelligence and Machine Learning algorithms have powered network automation. Mobile Network Operators(MNOs) are now using AI-based modules to automate the network using data authorized in their rented/owned areas for network distribution.

42. How to Get Better Datasets for Your Computer Vision Task

Here are some tips to improve your dataset collection

43. Deepfakes: A Present Danger to Cybersecurity

Deepfakes are currently a concern, but over the next few of years, they're going to get worse.

44. The G.O.D. Framework: A Balanced Approach to Building Autonomous AI Systems

In this article, we explore the theoretical G.O.D. (Generator, Operator, Destroyer) framework inspired by mythology as a way to build autonomous AI systems.

45. How AI and Blockchain Startups Are Contributing to The Fight Against #Coronavirus

The new decade began with an unprecedented number of natural disasters, including Puerto Rico Earthquakes, Yemen Humanitarian Crisis, Australian Bushfires, Floods in Indonesia, the outbreak of coronavirus, and others.

46. Amazon QuickSight Q Review Vs. NLSQL: A Comparison

New Amazon QuickSight Q AI-powered product for Data Analytics Review and comparison with NLSQL competitors NLP to SQL API software (including pricing details)

47. What AI Experts Are Watching in 2021

As we enter into 2021, industry leaders need to keep their ears to the ground on how the latest developments in those fields can affect their business.

48. AI and RAG in Knowledge Graph Enlightenment

A snapshot of the adoption wave for graphs in the real world, and the evolution of their use to support and advance AI – generative or otherwise.

49. What’s Up at the AI and No-Code Frontier?

Discover the latest on the AI frontier, as seen by a no-code platform that integrated very tightly with OpenAI.

50. No Such Thing As The Intelligent Edge

But it will be much bigger than the Internet. 

51. Advanced LLM Development 101: Strategies and Insights from Igor Tkach, CEO of Mindy Support

'Innovate with Confidence: Expert Guidance in Advanced LLM Development' explores the strategies and insights for making the most of Language Learning Models.

52. 6 Effective Ways to Stay Ahead of Your Competition Using Social AI

MarketsandMarkets forecasts that by 2023, AI in the social media market will be worth $2,197.1 million. 

53. Avoiding Data-Tunnel-Vision and Achieving Human-Machine Symbiosis

We need to create human-machine teams that work together. The key to achieving that is recognizing that our we all suffer from data-tunnel-vision.

54. Why Artificial Intelligence Projects Are Failing

The promise of Artificial Intelligence (AI) to solve real problems through automation, amplification and simplification is definitely achievable. Today, AI presents a technologist quite possibly one of the most glamorous projects to work on. We are tempted to jump on the bandwagon. But everything is not so great in AI Land. The truth is that – AI projects are failing.

55. Three Best Practices for Tackling AI Bias in Recruitment

The use of AI-powered recruitment software is an exciting trend, but then what steps have been placed to curb the emergence of bias? This article shares some.

56. Can Conversational AI Become The Face of Tomorrow's Business?

In recent times, conversational AI has become a tech buzzword in the global market. However, the aggressively growing popularity of AI is leaving many individuals in a great dilemma of whether they should be fear of losing jobs in the future or get excited to leverage the latest edition of the AI-driven applications in businesses.

57. 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.

58. A Quick Introduction to Federated Learning of Cohorts [FloC]

Federated Learning is a relatively new machine learning technique that decentralizes the training of data from one central machine to multiple devices.

59. Exploring Graph RAG: Enhancing Data Access and Evaluation Techniques

What is Graph RAG, what can it do, and how do you evaluate it?

60. To Google or Not to Google: What the Future Has In Store for Search

In the future, "to Google" may become outdated in light of breakthrough changes anticipating search engines in the months to come.

61. Reimagining Customer Behavior Through Machine Learning

Here what you need to know about Machine Learning in business market strategy

62. Enlightened Machines, Super Intelligent AI, And Buddhism

I find the concept of superintelligence fascinating. Reading Nick Bolston’s Superintelligence made me think about the future of intelligence in ways that I never imagined. A lot of discussions about the perils of a super AI have been done in the last couple of years.

63. AI's Role in Empowering Self-Sufficient Creation

Generative AI revolutionizes creativity, empowering individuals as creators. Embracing AI's potential calls for unity in sharing its economic benefits.

64. Building Machine Learning Algorithms That We Can Trust

How to Explain any machine learning model in minutes — with confidence and trust? Here's How:

65. "We Know About AI's Ability To Remember, But Forget About Its Ability To Forget." - Valeria Sadovykh

As our world approaches the time where artificial intelligence becomes as widespread as electricity, we sat down with Valeria Sadovykh, a leading expert in the decision making and decision intelligence aspects of AI. Valeria holds a Ph.D. from the University of Auckland Business School and has over 10 years of experience focusing her efforts on emerging technologies with PwC in New Zealand, Singapore, and the US.

66. Automation on the High Seas: AI-driven Cargo Ships Are Here to Stay

With the world’s eyes set on automobile manufacturers like Elon Musk’s Tesla, it is easy to lose track of automation in other areas. Automated driving is set to revolutionize the way we move around within the next decade. This is certainly breaking news. The new form of transport promises to cut down traffic accidents and the number of fatalities on the road. It will get us from A to B in a safer, and in all likelihood, more timely manner.

67. How AI Helps Rebuild Lives In War-torn Ukraine

This story highlights AI tech's power to assist in post-war rehabilitation of military amputees, people with PTSD, and visually impaired war veterans.

68. AGI Is Inevitable and It's Coming Faster Than You Think

It's here - a clear roadmap and timeline to Artificial General Intelligence — the holy grail of AI.

69. 77 Stories To Learn About Ai Top Story

Learn everything you need to know about Ai Top Story via these 77 free HackerNoon stories.

70. Artificial Neural Networks (ANNs) Have Transformed the Way We Interact With Computers

Artificial neural networks (ANNs) have transformed the way we interact with computers.

71. Generative Adversarial Networks (GANs): An Overview

GAN or Generative Adversarial Network is one of the most fascinating inventions in the field of AI. All the amazing news articles we come across every day, related to machines achieving splendid human-like tasks, are mostly the work of GANs!

72. How to Use Big Data and Artificial Intelligence for Demand-Based Pricing in Retail

You can call yourself a guru of retail pricing if you can make the right pricing decisions for every one of your products, separately and combined, based on their demand elasticity at any given moment.

73. How to Aggregate Categorical Replies via Crowdsourcing (Demo from ICML 2021)

In this article, we will aggregate categorical responses with the help of two classical algorithms – Majority Vote and Dawid-Skene.

74. The Political Future of AI: A Non-Partisan Issue or the Road to UBI?

The road to UBI will take different political turns until AI economically hurts both Democrats and Republicans.

75. How AI Can Help To Solve Issues In The Education System

Leveraging Artificial Intelligence in the Education sector can help bring revolutionary transformation.

76. Will Human Writing and AI Writing Become Indistinguishable?

This Essay Was Written by a Human, Not a Robot. Or Was It?

77. AI is Not Something to Be Trusted or Not Trusted

Is A.I. a revolution or a war? A god or a pet? A hammer or a nail? Do we really need more metaphors to describe it? Nowadays, A.I dictates what information is presented to us on social media, which ads we see, and what prices we’re offered both on and offline. An algorithm can technically write and analyse books, beat humans at about every game conceivable, make movies, compose classical songs and help magicians perform better tricks. Beyond the arts, it also has the potential to encourage better decision-making, make medical diagnoses, and even solve some of humanity’s most pressing challenges. It’s intertwining with criminal justice, retail, education, recruiting, healthcare, banking, farming, transportation, warfare, insurance, media… the list goes on.

78. Addressing Bias in AI: Training Data and the Importance of Diversity

The issue of bias in AI and the need to address it through diverse and representative data, appropriate algorithms

79. IoIT, or Internet of Intelligent Things

The world is continuously moving towards intelligence, digitalization, and robotics. But what are the factors that are making these things possible?

80. Can Artificial Intelligence Claim To Be the Future of Account-Based Marketing?

To be honest, I hate phrases like “harness the power of AI” or “use AI to revolutionize your sales”.

81. Answering Whither Artificial Intelligence By Building A Bot

During one of our call with Yardy, discussing our next venture, we thought about implementing AI to streamline certain functions. Given that I had some experience with Machine Learning, our fund had a project aiming to evaluate ICOs & Coins on specific criteria.

82. The Role of AI and ML in Enhancing The Ability Of Multiplying Wealth

Landing a good job is generally considered the purpose of education today.

83. Why AI is an Evolutionary, Not Revolutionary, Technology

The hype about AI is not a revolution. It's nothing more than an evolutionary step. Therefore, investing in AI related products should be done responsibly.

84. What Will No-Code Job Titles Look Like in the Future?

The other day we were reached out to on Twitter about what titles, responsibilities, and skillsets are required for no-coders in the future?

85. How To Build Your First AI-Enabled App

Build your own mini AI application in just 15 minutes! Understand fundamental AI concepts and discover a variety of AI APIs that could speed up your AI solution

86. The Current Reality and Future Possibilities of AI-Powered Coding

AI can support with coding but it doesn't always perform well.

87. Spotting Monster Shrines and Finding Lost Treasures: 5 Genuinely Cool AI Projects

Finally, we’ve invented the sci-fi technology of the future! And what do we do? Make tech support chatbots and check insurance claims…

88. Recommender Engines: AI on Steroids for E-commerce

When I start using any website offering content or goods, I check how well a recommender system works.  Do you?

89. Could OpenAI's New iOS App for ChatGPT Raise Fresh Privacy Concerns?

Privacy advocates and experts are raising questions about the data collection and storage practices employed by the ChatGPT app

90. How the Retail Industry is Implementing Machine Learning and Deep Learning

Stores are changing. We see it happening before our eyes, even if we don’t always realize it. Little by little, they are becoming just one extra step in an increasingly complex customer journey. Thanks to digitalisation and retail automation, the store is no longer an end in itself, but a mean of serving the needs of the brand at large. The quality of the experience, a feeling of belonging and recognition, the comfort of the purchase… all these parameters now matter as much as sales per square meter, and must therefore submit themselves to the optimizations prescribed by Data Science and its “intelligent algorithms” (aka artificial Intelligence in the form of machine learning and deep learning).

91. Will Deepfakes Be Part of Our Lives?

I was receiving a particular forwarded meme of a famous Hollywood actor over WhatsApp from so many of my contacts since last a few days. This one might have gone viral. It superimposes the actor’s face on the body of Superhero Hulk and makes him do some nasty stuffs. Oh! Quite ridiculous but people are liking it. The video was made with extreme perfection and the finishing touch was superb. I came to know later on that it was made by an internet user only.

92. Overview of AI Applications Assisting Us In The Fight Against Covid-19

Covid-19 coronavirus reports change daily and even hourly. The public health emergency has already swept the whole world: the virus threatens people's lives, affects business and interferes with travel. 

93. Searching For the Unknown - The Curse of Eternity

After walking down the path of fire, captain Smith decided to visit the Earth realm and continue his exploration of the universe. The doorway he entered lead down a path that was seemingly endless.

94. Hyperparameter Tuning on Any Python Script in 3 Easy Steps [A How-To Guide]

You wrote a Python script that trains and evaluates your machine learning model. Now, you would like to automatically tune hyperparameters to improve its performance?

95. While We're All Super Into Conspiracy Theories: Let's Talk AI Ethics and Google

With more development and implementation of AI, many pundits and experts have been very vocal of its potential and have called for a standstill in development or at least some regulations. These calls of action have even penetrated the heavy armor that Big Tech hides behind. Imagine letting just a single company toying with such powerful technology

96. Splitting Hairs: Exploring the Interrelationship of Machine Learning and AI

Navigating the Nuances: The Relationship and Differences Between AI and Machine Learning

97. AI Deployments To The Embedded Platform

This series of articles teach you step-by-step, how to deploy an AI model on the embedded platform, and here we take opensource RT-Thread IoTOS as an example.

98. iHack Alpha Inspires AI-Powered Solutions to Address Social Challenges

Discover AI-powered solutions that empower social challenges and disabled persons. This includes text-to-speech for the blind-deaf and virtual mentors.

99. 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.

100. How AI and Machine Learning Are Infiltrating the Media Industry

For the past few years now, the increasing digitalization of customer journeys and the exponential improvement of cloud technologies and computing capacities have invited media groups to rethink the way they do business. If it sounds like I’m using long words to say “digital disruption”, trust your instinct. Many of these disruptions have been centered around the mountains of data media groups have access to, and what Artificial Intelligence (AI) (and machine learning more specifically) could do with it. Indeed, while artificial intelligence has been fully embraced by a plethora of pure players (Spotify, Netflix, Buzzfeed, Disney…) traditional actors are still lagging, and now see the technology as a shortcut to a much-needed renewed growth.

Thank you for checking out the 100 most read blog posts about Ai Top Story on HackerNoon.

Visit the /Learn Repo to find the most read blog posts about any technology.

GPT-Image-2 带来更清晰的图像生成和更优质的文本渲染

2026-04-25 08:44:59

GPT-Image-2 is OpenAI’s latest image model, built for detailed visuals, precise typography, and high-fidelity prompt-based image generation.

Kimi-K2.6 将多模态智能体引入编程领域

2026-04-25 08:29:59

Explore Kimi-K2.6, Moonshot AI’s multimodal agentic model for coding, design, and autonomous workflows across long, complex tasks.

Kylehessling1 在 Huggingface 上发布的 Qwopus-glm-18b-merged-gguf 模型入门指南

2026-04-25 08:14:59

Qwopus-GLM-18B-Merged-GGUF is a healed 18B model for 12GB GPUs, offering strong coding, tool-calling, and 262K context performance.

这款18B“弗兰肯合并”芯片在更少的显存下超越了更大规格的型号

2026-04-25 07:59:59

Explore Qwopus-GLM-18B-Merged-GGUF, an experimental 18B frankenmerge with long context, fast inference, and strong tool-calling ability.