Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Chlorinated organic pollutants (COPs), widely used in industry and agriculture, persist in soil and groundwater for decades ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

Local factors such as seasonal temperature, the year-dependent water and vegetation index, and data on animal density can be used to predict regional outbreaks of avian flu in Europe.

A review of machine learning (ML) models developed to support the management of chronic lymphocytic leukemia (CLL) have demonstrated positive outcomes, including accurate diagnosis and improved work ...