Artificial intelligence and machine learning are playing increasing roles in drug discovery, potentially saving significant time and money.
What good is a fast computer if you can’t rely on it?
Using atomically-thin 2D films, researchers have developed a nano-scale random number generator with enhanced long-term stability and reduced power consumption.
A new machine learning algorithm called “Active Learning” could help identify the best materials for any desired application.
This will be one of the most important datasets since the mapping of the Human Genome, say experts.
A new true random number generator offers better encryption by taking advantage of a flaw in memristor memory devices.
Photonics offer a natural link between communication and computation, providing a potential bridge to build a quantum internet.
A new simulation technique accelerates modeling to help us better understand complex molecular processes and facilitate rational drug design.
Using a computer model to plan electricity grids in developing countries, researcher Christina Dominguez traveled to Kenya to get an idea of how people live without electricity and what developments access to the power grid can trigger.
Researchers were able to detect a “needle” of highly fragile quantum information in a “haystack” of nuclei.