science wire

Dennis Schol defended his PhD thesis at the department of Mathematics and Computer Science on May 16th. The production process of large high-tech manufacturers, such as ASML, is characterized by many parties supplying the components that make up the final product. If these parties can't supply on time, this results in supply-chain delays that may have major financial consequences.

Researchers discuss at a four-day symposium of the TRAs "Modelling" and "Life and Health" and the Clusters of Excellence HCM and ImmunoSensation2 Mathematical modelling and analysis are nowadays essential for all fields of the life sciences, ranging from basic research to clinical application.

Associate Professor, Heriot-Watt University and Maxwell Institute for Mathematical Sciences, UK Visiting Professor 2022-23 - April 8 to 29, 2023 Inviting Researcher: Julián Tachella Marcelo Pereyra is

Professor Michael Wallace devises method to win 80 per cent of the time By Melodie Roschman Faculty of Mathematics Mathematician Alfré Rényi famously said that "a mathematician is a machine for turning coffee into theorems.

With an ESPRIT grant from the Austrian Science Fund FWF, Tobias Schäfer is developing new computational methods to solve previously unsolvable quantum physics problems in computational materials physics.

What happens if you put many particles together, take a few steps back, and squint your eyes a bit? Jasper Hoeksema tried to find out.

A new tool brings the benefits of AI programming to a much broader class of problems. Close One reason deep learning exploded over the last decade was the availability of programming languages that could automate the math - college-level calculus - that is needed to train each new model. Neural networks are trained by tuning their parameters to try to maximize a score that can be rapidly calculated for training data.

A new research programme will develop new ways of extracting useful information from particular types of huge, complex datasets.

Researchers have developed a novel approach to network analysis that allows them to reveal and interpret, for the first time, interactions among multiple variables in data from neuroscience, economics, and epidemiology. Many phenomena - brain signals, stock prices, or COVID hospitalizations, for example - can be studied using time series data, which are collected as repeated measurements over a given time interval.

A new approach to alleviating emergency room congestion using a flow simulator. Led by Dr. Youri Yordanov and researcher Xavier Allamigeon, this ambitious collaborative project has won the Bernoulli Lab Challenge.

A program that brings together UCLA students, the Los Angeles Unified School District and professional engineers and technologists to enhance mathematics learning in select South Los Angeles middle schools has made its public debut.

It's estimated that six percent of children are affected with dyscalculia, the persistent difficulty in understanding numbers, and researchers from UCL's Institute of Education share strategies in The Conversation to support them and help them succeed in maths.

How does water seep through porous rock? Investigating this question with a mathematical model was the starting point for Barbara Dembin's research.

New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.

For Carnegie Mellon University junior Tony Yu, problem solving is logical. "I'm really curious. If there's something that's not known then I want to see if I can fill in some of the gaps," said Yu, who recently transferred from majoring in discrete mathematics to computer science.

Society for Neuroscience honors BCS professor for breakthrough research modeling a component of the brain's navigational system.

MIT CSAIL researchers solve a differential equation behind the interaction of two neurons through synapses to unlock a new type of speedy and efficient AI algorithm.

After being eliminated in the quarter-finals four years ago, the Brazilian national team is once again the clear favourite to win the FIFA World Cup.

Stefan Wild, a senior computational mathematician and deputy division director of the Mathematics and Computer Science Division at Argonne National Laboratory, has been selected to serve as the next