đ Neural Networks: The Brain-Inspired Technology That's Revolutionizing AI... (#6)
Neural Networks: What is it? How does it Works? How is it Trained? & Itâs Real-life Applications....
Good Morning, Studs! Welcome to the 6th edition of AI Stud: The Future Scholar, your go-to newsletter for all things Artificial Intelligence (AI)! In this issue, we'll delve into another intriguing topic: "Neural Networks: What is it? How does it work? How is it Trained? & Itâs Real-life Applications" Let's jump right in!
Whatâs in Todayâs AI Stud?
đ§ Learniverse: âNeural Networks: The Brain-Inspired Technology That's Revolutionizing AIâ
đ° AI News: âOpenAIâs GPTBot: The Future of AI Trainingâ
đ Explore Elsewhere: âHow AI Will DISRUPT The Entire World In 3 Years?â
đ§ Learniverse:
Neural Networks: The Brain-Inspired Technology That's Revolutionizing AI
Today, we're going to delve into the fascinating world of Neural Networks, one of the coolest things in Artificial Intelligence! Don't worry; we'll make it as simple as drawing a stick figure.
What is a Neural Network?
A Neural Network is like a brain for computers. Just like your brain helps you think and learn, a Neural Network helps computers make smart decisions and learn from examples.
It's made up of tiny computing units called "neurons," and they work together to solve problems.
How Does a Neural Network Work?
Imagine you have a bunch of friends in a team, and you all have different skills. Some are good at drawing, some at solving math problems, and some at telling stories.
When you face a challenge, like drawing a cat, each friend does their part. One friend draws the head, another the body, and someone else draws the tail. Finally, you put all the parts together to get a complete cat drawing.
That's how a Neural Network works! Neurons in the network work together, each doing a small task, and the network combines their efforts to give you the answer.
Layers of a Neural Network:
A Neural Network has layers like a cake. Each layer has different tasks and works together to solve the problem.
The first layer is the input layer. It takes the data, like a picture of a cat, and passes it to the next layer.
The middle layers are called hidden layers. They do the hard work of recognizing patterns in the data.
The last layer is the output layer. It gives you the final answer, like whether the picture is a cat or a dog.
Training a Neural Network:
Training a Neural Network is like teaching it to become smarter. You show lots of examples with the correct answers, and it learns from them.
Imagine a teacher teaching students to recognize animals. The teacher shows pictures of cats, dogs, and birds, telling students what each animal is. Students learn to recognize animals by looking at many examples.
In the same way, we give a Neural Network many examples, and it learns to recognize things on its own. Once trained, it can identify animals, objects or even play games!
Real-Life Applications of Neural Networks:
Image Recognition:
Have you seen those apps or your mobile camera that can recognize faces in pictures? That's a Neural Network in action! It learns to identify faces after being shown many pictures of people.
Language Translation:
Neural Networks can also help translate languages. They learn from lots of translated sentences and become really good at turning English into Spanish, Chinese, or any other language like Google Translator.
Autonomous Vehicles:
Self-driving cars like Tesla use Neural Networks to make decisions on the road. The network learns from data collected during driving to safely navigate and avoid obstacles.
Healthcare Diagnostics:
In the medical field, doctors use Neural Networks to assist in diagnosing diseases and ailments. These networks analyze vast amounts of patient data, such as X-rays and medical records, to help identify illnesses accurately.
Financial Fraud Detection:
Banks and financial institutions rely on Neural Networks to detect fraudulent activities in transactions. These networks scrutinize transaction patterns to identify unusual behaviour that might indicate fraud.
Music and Art Creation:
Neural Networks are even making waves in the creative realm. They can compose music, generate art, and even write poetry like AudioCraft or MusicGen. It's like having an AI artist or musician as a collaborator!
Just like a group of friends working together, Neural Networks collaborate to tackle complex challenges. They're like the problem-solving wizards of the AI world. So keep exploring, AI Explorers! We'll be back soon with more captivating insights into the AI universe. Until then, stay curious and keep unravelling the mysteries of technology.
Resource To Read: Definition of Neural Networks
đ° AI News
âOpenAIâs GPTBot: The Future of AI Trainingâ [Read More]
OpenAI has launched a new web crawler called GPTBot, which will collect publicly available data from the internet to improve future ChatGPT models.
Website owners can deny the web crawler by adding a âdisallowâ command to a standard file on their server
âChatGPTâs Custom Instructions: Now Free for All Usersâ [Read More]
ChatGPT has expanded its custom instructions feature to free users, allowing them to tailor their ChatGPT experience.
Custom instructions allow users to give ChatGPT specific directions on how they would like it to respond to their queries.
âIBMâs Revolutionary AI Chip: A Game-Changer for Energy-Efficient AI Deploymentâ [Read More]
IBM has unveiled a new analog AI chip that is very efficient and accurate in performing complex computations for deep neural networks.
The new chip is made up of 64 analog in-memory compute cores. Each core has a crossbar array of synaptic unit cells and compact analog-to-digital converters.
A new AI chip that they hope will be used in smartphones, self-driving cars, and data centres. Although it is still in the early stages of development, IBM is optimistic that the chip will be ready for commercial use in the next few years.
âAmazonâs New AI Tool Helps Sellers Write Product Descriptions!â [Read More]
Amazon is testing a new tool that uses AI to help sellers write titles, descriptions, and bullet points for their products.
The tool is being tested with a limited number of sellers and still needs human review to make sure it follows Amazonâs guidelines.
đ Explore Elsewhere
This Youtube video titled âHow AI Will DISRUPT The Entire World In 3 Yearsâ features Emad Mostaque, one of the most brilliant minds at the forefront of AI advancement. In this episode, Emad discusses the potential of AI to solve many of the worldâs pressing problems if used innovatively and ethically. He also addresses the need for perspective, regulation, and the challenge of tackling bias in artificial intelligence.
It provides valuable insights into the future of AI and its potential impact on society. Emad states very clearly in the episode that âAI is not going to replace humans, humans with AI will replace humans that donât use AIâ. This means that it is important for students to understand and be prepared for the changes that AI will bring. The video also discusses the potential societal disruptions and exciting opportunities in personalized education and healthcare that AI can bring.
Overall, this video is a must-watch for students who want to be informed and prepared for the future.
𧰠AI-Tutor Toolkit:
Scite is an AI tool that helps you discover and understand research articles by showing how they have been cited.
It can be useful for students in their study or career by helping them to:
Find research that supports their claims. Scite can show you how a research article has been cited by other articles, so you can see if there is evidence to support your own claims.
Evaluate the quality of research. Scite can show you how many times a research article has been cited, and whether it has been cited positively or negatively. This can help you to evaluate the quality of the research and decide whether to trust the findings.
Stay up-to-date with the latest research. Scite can show you the most recent citations for a research article, so you can see if there is any new research that has been published since the article was written.
Scite is a powerful and affordable tool that can help students to make informed decisions about research and to produce high-quality research papers. [Link]
DALL-E 2 is a text-to-image AI tool that can create realistic images from text descriptions.
It can be useful for students in their study or career by helping them to:
Create visual aids for presentations or projects. DALL-E 2 can be used to create high-quality images that can be used to illustrate presentations or projects. E.g. To create images for a presentation on the history of art.
Generate ideas for creative projects. DALL-E 2 can be used to generate ideas for creative projects, such as paintings, drawings, or sculptures.
E.g. To generate ideas for a painting of a fictional landscape.Explore new concepts. DALL-E 2 can be used to explore new concepts by generating images that represent those concepts.
E.g. To explore the concept of artificial intelligence by generating images of robots and other AI-powered machines.Have fun. DALL-E 2 can be used to have fun by generating creative and interesting images, silly or absurd images.
DALL-E 2 is a powerful tool that can be used for a variety of purposes by students. It is a great way to create visual aids, generate ideas, explore new concepts, and have fun [Link]
đ AI LOLs
đ¨ AI Genie
Source: Instagram @universo.mid
We hope todayâs newsletter provides you with a solid foundation for exploring this exciting field further. In the upcoming issues of AI Stud, we'll continue to explore diverse AI applications, ethical considerations, emerging trends, and more. Stay tuned for an enlightening journey into the world of AI!
If you have any suggestions, feedback, or specific topics you'd like us to cover, feel free to reach out. Until next time, happy learning and exploring the fascinating realm of Artificial Intelligence!
Embrace the AI-powered Sunday!,
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