Women make up only 35% of the workforce in science, technology, engineering and math (STEM) - the greatest disparities occurring in engineering and computer sciences. Christina DiMarino, an engineering professor at Virginia Tech, said now is the time to flip the script and explained why it is so important that education for women and underrepresented groups about STEM fields starts early in life.
Supporting kids with maths homework is a common afterschool activity. But beyond the basics, new curricula and teaching strategies are making it harder for parents to help and it’s taking a serious toll on children’s confidence and learning.
Baylor University mathematicians Dorina Mitrea, Ph.D., and Marius Mitrea, Ph.D., along with Irina Mitrea, Ph.D., professor of mathematics at Temple University, have co-authored an unprecedented 5-volume, 5,000-page original research monograph that creates a new track in mathematics. Geometric Harmonic Analysis (GHA) is a specific area of mathematics at the crossroads of two well-established branches: geometry and harmonic analysis.
In this lecture, Professor Pierre-Louis Lions, the HKIAS Senior Fellow and a renowned mathematician, will delve into the fascinating relationship between Mathematical Modeling and the development of Mathematics. He will explore the impact of applications on the growth of mathematical theories and the emergence of new applications.
A Rutgers professor who studies and improves the design of algorithms – human-made instructions computers follow to solve problems and perform computations – has been selected to receive a 2024 Sloan Research Fellowship. Aaron Bernstein, an assistant professor in the Department of Computer Science in the School of Arts and Sciences at Rutgers University-New Brunswick, was named one of 126 researchers drawn from a select group of 53 institutions in the U.S. and Canada.
RUDN University mathematicians have built an algorithm for effectively segmenting a 5G network. It will help optimally distribute resources between tasks.
Children’s interest in, and competence perceptions of, mathematics are generally quite positive as they begin school, but turn less positive during the first three years.
The Fannie and John Hertz Foundation today announced 45 finalists for the 2024 Hertz Fellowships in applied science, mathematics and engineering.
Reliable quantum gates are the fundamental component of quantum information processing. However, achieving high-dimensional unitary transformations in a scalable and compact manner with ultrahigh fidelities remains a great challenge.
RUDN University mathematicians have created a new routing algorithm in the Internet of Things network. It optimally splits traffic, which improves network speed and reliability.
RUDN University mathematicians have proposed a system that helps to use energy more efficiently. It is based on the Internet of Things and the digital twin of the household.
National University of Singapore (NUS) statisticians have introduced a new technique that accurately describes high-dimensional data using lower-dimensional smooth structures.
AIP and APS are pleased to announce David Brydges as the recipient of the 2024 Dannie Heineman Prize for Mathematical Physics “for achievements in the fields of constructive quantum field theory and rigorous statistical mechanics, especially the introduction of new techniques including random walk representation in spin systems, the lace expansion, and mathematically rigorous implementations of the renormalization group.”
RUDN University mathematicians proposed a model of a queue at passport control at the airport or in other similar systems. The new stochastic model was studied theoretically and its performance was calculated under different parameters.
RUDN University mathematicians compared two popular machine learning models for predicting network traffic. The authors named in which situations the models perform better. This is important for optimizing 5G and 6G networks, which must adapt to changes in traffic and user demands.
ASU's Ying-Cheng Lai and team sought to find the probability of rate-induced tipping in the whole state space, then used the corresponding data to build a mathematical theory that could be applied generally to systems in the ecological and biological realms.
Natural selection acts on phenotypes constructed over development, which raises the question of how development affects evolution.
Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, e.g., GPT-3 and Swin Transformer.
Researcher’s honor is awarded to less than 3% of Laboratory’s scientific staff.
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