The researchers say machine learning gives them more freedom to study the data. Older methods expect things to follow a ...

The diagram illustrates the interplay among data acquisition, machine learning, and experiment synthesis. Physical models such as thermodynamics and kinetics can be integrated into ML models as ...

A research team led by Prof. Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, ...

A team from the University of Bern and the National Center of Competence in Research (NCCR) PlanetS has developed a machine-learning model that predicts potential planetary systems with Earth-like ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

This diagram outlines the process used to identify the top 20 metabolites associated with oxidative potential (OP) in heavy ...

Cardiac fibroblasts (CF) can become activated and produce excessive extracellular matrix, contributing to fibrotic remodeling ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

“[T]he only thing the claims disclose about the use of machine learning is that machine learning is used in a new environment.” – CAFC The U.S. Court of Appeals for the Federal Circuit ...

Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between ...

Machine learning (ML) has become a critical driver of business success in today's world. This technology enables machines to perform complex tasks without explicit human programming by analyzing data ...

Python Finite State Machines made easy.