Glass sponges have properties for the design of ships, planes and skyscrapers

Published in the journal Nature the first-ever simulation of the deep-sea Venus flower sponge and how it responds to and influences the flow of nearby water.

Mind and matter: Modeling the human brain with machine learning

Researchers from Japan construct a human brain model using a machine learning-based optimization of required user information

Learning aids: Skoltech method helps train computer vision algorithms on limited data

Researchers from Skoltech have found a way to help computer vision algorithms process satellite images of the Earth more accurately even with very limited data for training. This will make various remote sensing tasks easier for machines and ultimately the…

Revealing the values in mathematics education through a variety of cultural lenses

Mathematics educators, mathematicians, teachers, and students come together to discuss the values that are espoused and developed through mathematics education today in different cultures

Black hairstyles will inspire innovative building materials in new research

UNIVERSITY PARK, Pa. — Natural Black hair texture and styling practices – such a braiding, locking and crocheting – will help inspire and generate novel building materials and architecture structures using computational design processes in new research funded by the…

Danish invention to make computer servers worldwide more climate friendly

An elegant new algorithm developed by Danish researchers can significantly reduce the resource consumption of the world’s computer servers. Computer servers are as taxing on the climate as global air traffic combined, thereby making the green transition in IT an…

Machine learning for solar energy is supercomputer kryptonite

Scientists have found a way to predict the band gap of photovoltaics materials in milliseconds with a conventional PC, potentially leaving the world’s most powerful and expensive processing machines gathering dust

Vortex, the key to information processing capability: Virtual physical reservoir computing

[Background] In recent years, physical reservoir computing*1), one of the new information processing technologies, has attracted much attention. This is a physical implementation version of reservoir computing, which is a learning method derived from recurrent neural network (RNN)*2) theory. It…

New models predict fewer lightning-caused ignitions but bigger wildfires by mid century

CORVALLIS, Ore. – Human-caused wildfire ignitions in Central Oregon are expected to remain steady over the next four decades and lightning-caused ignitions are expected to decline, but the average size of a blaze from either cause is expected to rise,…

Algorithm reveals the mysterious foraging habits of narwhals

An algorithm can predict when narwhals hunt – a task once nearly impossible to gain insight into. Mathematicians and computer scientists at the University of Copenhagen, together with marine biologists in Greenland, have made progress in gathering knowledge about this…

Predicting the evolution of a pandemic

The inclusion of biological uncertainty and the latest case data can significantly improve the prediction accuracy of standard epidemiological models of virus transmission, new research led by KAUST and the Kuwait College of Science and Technology (KCST) has shown. Modern…

Study of harvey flooding aids in quantifying climate change

How much do the effects of climate change contribute to extreme weather events? It’s hard to say–the variables involved are plentiful, each event is unique, and we can only do so much to investigate what didn’t happen. But a new…

Changing community networks impact disease spread

The COVID-19 pandemic has made clear the importance of understanding precisely how diseases spread throughout networks of transportation. However, rigorously determining the connection between disease risk and changing networks–which either humans or the environment may alter–is challenging due to the…

Four collaborative research centres at Goethe University receiving funding

German Research Foundation funds new CRC Transregio 326 „Geometry and arithmetic of uniformized structures” – CRC 1039 on medical signal path research enters third funding period – Goethe University involved in two further CRC-Transregios

Social media use one of four factors related to higher COVID-19 spread rates early on

TORONTO, June 9, 2021 – Researchers from York University and the University of British Columbia have found social media use to be one of the factors related to the spread of COVID-19 within dozens of countries during the early stages…