Scientists are exploiting the continuing advances in computing power to explore and understand ever more complex systems. While advanced computer models can probe the properties of many different physical systems, machine learning is offering new ways to extract scientific meaning from vast quantities of experimental data. And, as this special collection reveals, researchers are already looking ahead to the exciting possibilities offered by quantum computing.
Janelle Shane outlines the promises and pitfalls of machine-learning algorithms based on the structure of the human brain
The integration of Watson for Oncology into Elekta's MOSAIQ exploits artificial intelligence to standardize and increase access to cancer care
Take a look inside the free-to-read digital edition of Physics World‘s focus issue on computing. Covering the latest innovations and commercial developments, this issue explores quantum computing, artificial intelligence and computer modelling
Deep learning could speed up detection of hidden signals
Researchers have applied data mining techniques to rapidly classify biomolecular structures directly from scattering data
Artificial neural networks increase throughput for super-resolution microscopy with high temporal resolution
Curious hook-like patterns explained by theoretical and numerical models
Wet-season delay can cause food insecurity so accurate projections are vital, says Caroline Dunning
New model explains why some bridges oscillate when walked on
Computer modelling offers new insights into the printability cell-laden biomaterials
Simulations reveal how objects get stuck even though fluid flows freely
Researchers have successfully simulated PET scans to verify the accuracy of proton therapy delivery
We present a new mathematical-physics page, where we have compiled a wide range of research from more than 10 specialist journals. We have included the latest articles, reviews, special issues, video abstracts and other features from this diverse discipline of research.