Artificial Intelligence in Industry 4.0 enables companies to manufacture, enhance and distribute their products in revolutionized new ways. Welcome to the era of so-called dark factories! Manufacturers are integrating new technologies into their manufacturing facilities and operations, including artificial intelligence and its subdomain machine learning, as well as the Internet

What is the machine learning lifecycle represent? Automatically learning without being pre-programmed is possible thanks to machine learning. But what exactly is a machine learning system, and how does it work? So, it is classified as a machine learning life cycle. The machine learning life cycle is a cyclical process

Google AI’s Pathways Language Model is able to handle many tasks at the same time. The world has been open-eyed to what large language models (LLMs) may do with very little data for nearly two years, responsibly answering questions, translating text, and even creating their own bits of creative writing

Contrary to popular belief, the history of machine learning, which enables machines to learn tasks for which they are not specifically programmed, and train themselves in unfamiliar environments, goes back to the 17th century. Machine learning is a powerful tool for implementing artificial intelligence technologies. Because of its ability to

Quantum Machine Learning (QML) is a young theoretical research discipline exploring the interplay of quantum computing and machine learning approaches. In the last couple of years, several experiments demonstrated the potential advantages of quantum computing for machine learning. The overall goal of Quantum Machine Learning is to make things move

Neuromorphic computing is a growing computer engineering approach that models and develops computing devices inspired by the human brain. Neuromorphic engineering focuses on using biology-inspired algorithms to design semiconductor chips that will behave similarly to a brain neuron and then work in this new architecture. What is neuromorphic computing? Neuromorphic

Artificial intelligence in cybersecurity is a must-have combination for organizations nowadays. Artificial intelligence (AI) assists under-resourced security operations analysts in keeping pace with attacks, and this technology will have a greater role as cyberattacks increase in volume and complexity. AI technologies, such as machine learning and natural language processing that

Hyperautomation is a framework and set of sophisticated technologies for scaling automation in enterprises. The term “automate everything that can be automated” is used to describe the concept of hyperautomation. Organizations that use hyperautomation want to reduce operational complexity across their company by applying artificial intelligence (AI), robotic process automation

Machine learning engineering aims to apply software engineering and data science methods to turn machine learning models into usable functions for products and consumers. Artificial intelligence technology is created using machine learning engineering with massive data sets. Machine learning engineering develops AI systems and algorithms to learn and ultimately make

Last year, San Francisco-based research lab OpenAI released Codex, an AI model for translating natural language commands into app code. The model, which powers GitHub’s Copilot feature, was heralded at the time as one of the most powerful examples of machine programming, the category of tools that automates the development and maintenance of