All Posts in "Christopher Gillum"

Exploring Unsupervised Learning Algorithms in AI

Artificial Intelligence (AI) continues to push the boundaries of technology and innovation, and unsupervised learning algorithms play a significant role in this advancement. Unsupervised learning offers a powerful approach for AI systems to explore and understand patterns within data without explicit supervision. In this article, we will dive into the concept of unsupervised learning, explore its applications, and discuss the impact of these algorithms on AI development.

Understanding Unsupervised Learning

Unsupervised learning is a category of machine learning where the algorithm is presented with input data without labeled responses. Unlike supervised learning, where the algorithm learns from labeled data, unsupervised learning algorithms have the task of finding hidden structures and patterns within the input data. By identifying similarities, differences, and relationships in the data, unsupervised learning algorithms can uncover valuable insights and representations.

Types of Unsupervised Learning Algorithms

Clustering:

Clustering algorithms are a common type of unsupervised learning, which aims … Read More

Christopher Gillum by — March 17, 2023 in Future Technology
Understanding Supervised Learning in Artificial Intelligence

Artificial Intelligence (AI) has revolutionized various industries and continues to shape the future of technology. Among the many subfields of AI, supervised learning plays a crucial role in enabling machines to learn from data and make intelligent decisions. In this article, we will delve into the concept of supervised learning, its applications, and how it powers many of the AI systems we interact with on a daily basis.

What is Supervised Learning?

Supervised learning is a type of machine learning where an algorithm learns from labeled training data, making it possible to predict or classify new data. In this process, the algorithm is provided with input data and the corresponding correct output, allowing it to learn and make predictions based on that data. The goal is for the algorithm to generalize and accurately predict the output for new, unseen input data.

Key Components of Supervised Learning

Training Data:

The training … Read More

Christopher Gillum by — March 6, 2023 in Future Technology
How Far Will Artificial Intelligence Go in Our Lives?

It is not far-fetched to think that in the future, artificial intelligence will help us with every aspect of our lives. It remembers every conversation and invention, has read hundreds of years of patent filings, and has studied all of the business books since Ben Franklin. In addition to this, it is also capable of cross-referencing new ideas with those of other conferences. But will this be all? How far can artificial intelligence go before it becomes the norm in our lives?

Artificial general intelligence

The creation of a robust AGI is essential for the advancement of mankind, but it poses certain risks as well. While a robust AI can perform many tasks, it may exhibit deviant behaviors. These systems may be vulnerable to human errors, such as failing to recognize an emergency. In order to prevent deviant behavior, FLI recommends researching how to make AI systems more corrigible. Corrigible … Read More

Christopher Gillum by — June 30, 2022 in Technology in Business
How Machine Learning Differs from Traditional Machine Learning

If you are new to machine learning, you may be wondering how it differs from traditional machine learning. The term machine learning derives from the theory that computers are capable of learning. By examining a dataset, a machine can produce repeatable results by modifying its model based on the previous data. In other words, machine learning is an old science, but it is the core of self-driving cars. It can be used to train a new computer to drive itself.

Neural networks

A neural network is an algorithm that uses layers of neurons to model a problem. The neurons in the same layer or on different layers are linked by connections called weights. Each weight represents the strength of a relationship between the neurons. In neural network training, the goal is to reduce weight numbers so that the neural network can perform better. The learning rate of the neural network … Read More

Christopher Gillum by — June 25, 2022 in Technology in Business
Types of Artificial Intelligence

There are different types of artificial intelligence. Narrow AI is the most commonly known type, and operates within limited constraints. Narrow AI refers to AI systems that only perform one specific task and possess limited competencies. The next two types are general AI and self- aware AI. To better understand each type, let’s discuss the characteristics of each. Let’s start with narrow AI. Narrow AI is limited in its competencies. It is only able to recognize images, hear sounds, and read human speech.

Reactive machines

Reactive machines are the most basic forms of artificial intelligence. They use their intelligence to respond to the world around them, without storing memories or relying on prior experiences. The most famous example of a reactive machine is Alpha Go, a computer program that beat a top Go player. Although the technology used by AlphaGo is not the most advanced, it does use a neural … Read More

Christopher Gillum by — June 16, 2022 in Technology in Business