Blog

With the global energy demand escalating, companies in the oil and gas field face growing demands to boost operational efficiency, cut expenses, and adhere to safety and environmental regulations. AI has emerged as a crucial solution to meet these demands. Over the last ten years, the integration of artificial intelligence into the oil and gas sector has significantly transformed the industry.

In machine learning, there are different approaches to building effective learning representations. One of them that appeared first and up to this day continues to be quite a popular way of teaching machines to learn and make predictions, is supervised learning. In this article, you will learn what supervised learning is, how supervised machine learning models are built and how they are used for real-life applications.

Hyperparameter optimization plays a significant role in the development and refinement of machine learning models, ensuring their optimal performance for specific tasks. The Bayesian optimization algorithm stands out among various methods due to its efficiency and effectiveness. Unlike hyperparameter tuning methods like random search and grid search, which evaluate parameter values independently without considering outcomes from previous iterations, Bayesian optimization leverages results from previous evaluations.

Generative artificial intelligence has transformed many industries from content creation to healthcare and fintech. Because the use of generative AI has become so widespread, it introduced certain challenges for the cybersecurity of individuals and whole corporations. McKinsey Global Survey on AI shows that 40 percent of organizations plan to increase their overall AI investment because of advancements in generative AI. At the same time, 53 percent of organizations acknowledge cybersecurity as a generative AI-related risk.

In this piece, we focus on introducing types to lambda calculus. Typed lambda calculus extends the untyped lambda calculus by introducing a type system. It's important to note that, unlike untyped lambda calculus, there are multiple typed lambda calculi, each differentiated by the specific features of the type system used. The exact features of the type system can be chosen with considerable flexibility. In this article, we will explore some of the common choices.

Cloud technologies let users have access to their data anywhere and from any device and use the capabilities of powerful servers and large storages, and quickly design complex models—all facilitated by the cloud. However, cloud-native software development is more than just storing data or running applications in the cloud. This approach allows programmers to design more flexible and scalable solutions. Moreover, cloud services provide robust backup and disaster recovery solutions.