Data engineering is one of the preferred careers for software engineers who would like to tackle a fast-changing industry of ...

Undoubtedly, the world of cryptocurrency is currently evolving at lightning speed. And 2025 is shaping up to be a game-changing year for blockchain innovation. Let’s talk in terms of numbers now! By ...

By the end of this book, you will be able to take a large raw dataset, clean it, manipulate it, and run machine learning algorithms to obtain results that influence business decisions. Data Science ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

Researchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning.

Until now, every Bitcoin Improvement Proposal (BIP) that needed cryptographic primitives had to reinvent the wheel. Each one ...

Second-wave AI programs – largely referred to as machine learning programs – recognise and learn from statistical patterns in complex data sets. Now the Third Wave of AI uses ‘contextual ...