Artificial intelligence and machine learning are playing increasing roles in drug discovery, potentially saving significant time and money.
Computer Science
Quantum computers checking themselves improves their accuracy
What good is a fast computer if you can’t rely on it?
Keeping it random
Using atomically-thin 2D films, researchers have developed a nano-scale random number generator with enhanced long-term stability and reduced power consumption.
Finding new “needles” in a materials haystack using machine learning
A new machine learning algorithm called “Active Learning” could help identify the best materials for any desired application.
DeepMind used to create the most complete database of predicted 3D protein structures
This will be one of the most important datasets since the mapping of the Human Genome, say experts.
Boosting data security with a memristor-based true random number generator
A new true random number generator offers better encryption by taking advantage of a flaw in memristor memory devices.
Researchers in Sweden develop light emitters for quantum circuits
Photonics offer a natural link between communication and computation, providing a potential bridge to build a quantum internet.
A “time-accelerated computational microscope” provides biologists with powerful insights
A new simulation technique accelerates modeling to help us better understand complex molecular processes and facilitate rational drug design.
A computer model to build tailor-made power grids
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.
Extracting information stored in 100,000 nuclear quantum bits
Researchers were able to detect a “needle” of highly fragile quantum information in a “haystack” of nuclei.
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