Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...

This title is part of a longer publication history. The full run of this journal will be searched. TITLE HISTORY A title history is the publication history of a journal and includes a listing of the ...

In October 1984 I arrived at Oxford University, trailing a large steamer trunk containing a couple of changes of clothing and about five dozen textbooks. I had a freshly minted bachelor’s degree in ...

Abstract: Learning the structure of Bayesian networks (BNs) from high dimensional discrete data is common nowadays but a challenging task, due to the large parameter space, the acyclicity constraint ...

This Timeline article charts progress in mathematical modelling of cancer over the past 50 years, highlighting the different theoretical approaches that have been used to dissect the disease and the ...

Indian mathematician Srinivasa Ramanujan’s century-old formulas for π (pi), once seen as pure curiosities of number theory are now revealing deep links to fundamental physics, potentially helping ...

Abstract: To reduce the amounts of the processing data, decrease the hardware complexity and solve the cross-channel signal problem caused by uniform channelized wideband digital receivers, a wideband ...