AI and data are feeding each other — build the right strategy and you’ll unlock smarter decisions, better agility and a real ...

The 2025 Bioprocessing Summit revealed knowledge gaps and changing mindsets. As some companies look towards the future, ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

The paper generated by The AI Scientist-v2 passed peer review at a workshop of a top international AI conference. The ...

Since its founding in 1885, Bryn Mawr has maintained its character as a small residential community, which fosters close ...

Find out how today's engineers succeed by growing their technical abilities, improving how they communicate, and staying open ...

With years of machine learning knowledge organized in a structured path, AI researchers are now well-equipped to quickly find promising algorithm combinations, accelerating the pace of discovery.

One potential way to simplify method development is through the use of reinforcement learning (RL), a machine learning (ML) paradigm that focuses on decision making by autonomous agents, which are ...

This paper explores the application of machine learning for predicting nitric acid extraction behavior in the PUREX process. Our results demonstrate that machine learning models, particularly a ...

Introduction: The study aims to predict tooth extraction decision based on four machine learning methods and analyze the feature contribution, so as to shed light on the important basis for experts of ...