From space exploration to artificial intelligence, modern scientific breakthroughs depend on moving large amounts of data ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

In collaboration with IBM Research, a process for automated visual inspection was developed. The core of the project is based ...

Here you will find the guidelines used by Methods Hub for tutorials. If you are preparing a method, check the guidelines used by Methods Hub for methods. A tutorial is an instructional resource that ...

For at least 151 years, a hemlock and its close neighbor, a red oak, have grown up together on the Bates campus, close enough to overlap branches, while buildings popped up around them. Their survival ...

Energy Undersecretary for Science Darío Gil walked House lawmakers through the agency’s research priorities for the AI-centric Genesis Mission and beyond. Emerging technology research dominates the ...

Abstract: The focus of this research is to develop a learning-based method that computes self-motion manifolds (SMMs) efficiently and accurately to enable real-time global fault-tolerant motion ...

Fungal networks may be a promising alternative to tiny metal devices used in processing and storing digital memories and other computer data, according to a new study. Mushrooms have long been ...

In the current climate, generic and expensive programs to promote diversity, equity, and inclusion—for example, trainings—are increasingly falling out of favor. In fact, most of the existing research ...

Quantum computing (QC) is one of the most transformative scientific and technological advances of the 21 st century, introducing entirely new paradigms for solving computational problems that have ...