See How the Internet of Things Will Change Your Life
Connect with us

Technology

See How the Internet of Things Will Change Your Life

Published

on

See How the Internet of Things Will Change Your Life

See How the Internet of Things Will Change Your Life

The dawn of the Internet of Things (IoT) era is already upon us, but for many people there is a chance that the future impact of the IoT is still pretty unclear.

What is the scale of this technological shift, and how exactly will our day-to-day lives be changed by more everyday devices being connected to the web?

Today’s infographic puts the scale of the IoT into a dazzling sense of perspective. Here’s the dramatic shift in devices connected to the web from 1990 until today:

  • In 1990, there were over 300,000 desktop computers connected to the internet.
  • In 2000, there were over 300 million desktops connected to the internet.
  • In 2016, there are now over 2 billion mobile phones connected to the internet.

And here’s what to expect after just a few more years! By 2020…

  • There will be 13 billion kettles, fridges, TVs, thermostats, security cameras, lights, smoke detectors and other things in your home connected to the internet.
  • There will be 3.5 billion navigation systems, in-car entertainment systems, and other things in vehicles connected to the internet.
  • There will be 411 million wrist bands, shoes, glasses, watches, sports socks, clothing, and other wearable things connected to the internet.
  • There will be 646 million heart rate monitors, body implants, pill bottles, blood pressure monitors, skin patches, and other things in the hospital connected to the internet.
  • There will be 9.7 buildings, street lights, traffic lights, water pipes, parking meters, pollution monitors, and other things in the city connected to the internet.

What does this mean?

It means that in just a few years, it is likely true that: your house’s heating will turn when you start to head home, traffic lights will adjust to the flow of traffic, empty parking spaces will communicate with your car, your kettle can be ready as you walk in the door, your fridge will order milk for you when you are running low, and your pill bottle may message you when a dose is accidentally missed.

Original graphic by: RS Components

Subscribe to Visual Capitalist
Click for Comments

Technology

Infographic: Generative AI Explained by AI

What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.

Published

on

Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above – from illustrations and icons to the text descriptions⁠—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

  • Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
  • Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
  • Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

  • Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
  • Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
  • Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.

Continue Reading

Subscribe

Popular