Resources
artificial intelligence
56 resources — Artificial Intelligence (AI) has become one of the most groundbreaking and disruptive forces in the universe. AI is a broad field of study that encompasses a range of topics such as machine learning, deep learning, computer vision, natural language processing and robotics. AI is used to develop computer programs that can mimic human behavior and perform complex tasks that are too difficult for humans to do on their own.
machine learning
28 resources — Machine learning is a category of Artificial Intelligence (AI) that enables computers to learn from data, recognize patterns and improve. Machine Learning uses algorithms to process data, identify trends and make predictions. By analyzing large datasets, machines can learn to identify patterns, solve problems and make decisions in the field. Machine learning can be applied to a variety of tasks, including image recognition, natural language processing, fraud detection and autonomous vehicles.
autonomous vehicles
4 resources — Self-driving cars are a major area of focus for Autonomous Vehicles. These vehicles are outfitted with sensors and software that allow them to drive with little or no human input. These cars are able to detect and analyze their environment, allowing them to make decisions on their own. Drones are another form of Autonomous Vehicles. These unmanned aerial vehicles are equipped with cameras, sensors and software that allow them to fly without a human pilot.
natural language processing
31 resources — NLP is a complex field that involves understanding the structure of language, the meaning of words, the context of conversations and more. It involves the use of sophisticated algorithms and statistical models to teach machines how to interpret human language. NLP can also be used to generate natural language responses, allowing machines to answer questions or respond to commands in human-like ways.
computer vision
18 resources — Computer Vision is a revolutionary technology that allows machines to recognize and understand images. It is one of the cutting-edge advancements in Artificial Intelligence (AI) and is rapidly changing the way we interact with technology. By using deep learning algorithms, computer vision systems can interpret visual data and make decisions based on what they see. For example, computer vision systems can be used to identify objects in images, detect faces in videos, and recognize handwriting.
robotics
4 resources — Robotics involves the programming and design of robots for specific tasks, as well as the study of robotic behavior and interaction with the environment. Robotics engineers design robots to move, sense their environment, and interact with other robots and objects. Robotics technology is used to create machines that can automate tasks, increase safety, and reduce manual labor. Robotics is also used to create autonomous vehicles, drones, robotic arms, and other robotic devices.
deep learning
37 resources — Deep learning algorithms use artificial neural networks to process data and make predictions. These networks are modeled after the human brain, with nodes that represent neurons and connections that represent synapses. The algorithms process data by identifying patterns and making connections between them. This allows machines to learn in ways that are akin to how humans learn. It has also been used in natural language processing, allowing computers to understand and respond to human language.
natural language generation
36 resources — Natural language generation (NLG) is a form of artificial intelligence that allows machines to generate natural language content, making it appear as if it was written by a human. NLG is used to create automated customer service agents, automated writing tools and other applications that require natural language outputs. NLG can also be used to generate content based on complex data, such as financial reports, summaries of news stories, and more.
neural networks
18 resources — Neural networks are a powerful form of Artificial Intelligence (AI) that has revolutionized the way we interact with technology. Neural networks are modeled the brain, and can be used for a variety of applications, including image recognition and natural language processing. Neural networks are made up of a set of nodes, or neurons, that are connected to one another. Each node is designed to receive, process, and pass on information, similar to how neurons in the human brain work.
generative art
17 resources — Generative artwork is a form of art that is created by Artificial Intelligence (AI). Generative art uses algorithms and processes to create unique, original artwork that is often unpredictable and ever-changing. This art form can be used to explore new creative possibilities, as it takes advantage of the capabilities of AI to generate never-ending variations on a single design. Generative artwork can be used to create innovative visuals, graphics, animations, and interactive experiences.
automation
18 resources — Automation is the process of using technology to reduce the amount of human labor required to complete a task. Automation encompasses a wide variety of techniques and technologies, from robotics to AI-driven automation solutions. Automation solutions enable businesses to increase efficiency and productivity, while reducing costs and time-to-market. Automation can also be used to increase customer satisfaction by providing more accurate, faster and personalized services.
