Machine Learning in Biotech: Interview with Quantori
In this interview, we speak with Dr. Yuriy Gankin and Maxim Kazanskii from Quantori. This innovative IT company works in AI for life science, biotech, and pharmaceutical companies developing software solutions to accelerate the discovery and development of novel therapies.
Haskell in Production: FOSSA
In this edition of our Haskell in Production series, we feature FOSSA – a tool for open-source risk management.
Stable Diffusion: Generating Images Out of Thin Air
Stable Diffusion is a free, open-source neural network for generating photorealistic and artistic images based on text-to-image and image-to-image diffusion models. Read our tips to start generating your own masterpieces in minutes.
DataKinds Are Not What You Think
The DataKinds language extension might not work the way you think it does. In this article, we look at how it's usually taught and show how the common intuition differs from reality.
Get Started with Rust: Traits
In this article, we cover the basics of traits in Rust: what they are, when they are useful, and how to use them.
A Guide to Transfer Learning
In this blog post, we explore the definition, methodology, benefits, and applications of transfer learning. We also discuss various transfer learning strategies and provide a selection of pre-trained models.
Get Started with Rust: Enums
In this article, we show you how to define, instantiate, and use enums in Rust. We also cover pattern matching and two common enums for error handling: Option and Result.
Support Vector Machine Algorithm
The support vector machine (SVM) algorithm is a machine learning algorithm widely used because of its high performance, flexibility, and efficiency. Learn more about it in our article.
Haskell in Production: Caribou
In this edition of Haskell in Production series, we interview Syed Jafri, a Senior Software Engineer from Caribou. Read the interview to learn how he successfully pitched and introduced Haskell to his company.
Data Warehouses vs. Data Lakes vs. Data Lakehouses
The most popular solutions for storing data today are data warehouses, data lakes, and data lakehouses. This post gives a detailed overview of these storage options and their pros and cons for specific purposes.
Haskell in Production: NoRedInk
In this edition of our Haskell in Production series, we feature NoRedInk – an EdTech product that helps students become better writers through its online, adaptive writing curriculum.
K-Nearest Neighbors Algorithm for ML
The k-nearest neighbors (kNN) algorithm is a simple tool that can be used for a large number of real-world problems. In this article, we cover what kNN is, how it works, and how to implement it in machine learning projects.
Functional Futures: Dependent Types with David Christiansen
In this month’s episode of Functional Futures, our guest is David Christiansen – the Executive Director of the Haskell Foundation and the co-author of The Little Typer, a book on dependent types.
A Guide to One-Shot Learning
Find out how the one-shot learning algorithm works and the practical applications of this novel paradigm in neural networks.
Thanks for visiting the Serokell blog.
Serokell is a multinational team of programmers, joined by love towards functional languages. Science and education are among the core values of Serokell. Our blog is a place for our specialists to talk about things that matter to them. Stay tuned to read more about pioneering research and practical applications of functional programming, mathematics, artificial intelligence, and computer science.