Harnessing the power of crowd-driven artificial intelligence

The European Research Council (ERC) will fund the development of an innovative platform incorporating the IIASA crowdsourcing game Picture Pile. IIASA Strategic Initiatives Program Director Steffen Fritz will lead the project. Rapid advances in computing power, the availability of big…

A theory as clear as glass

Tokyo, Japan – Researchers from the Institute of Industrial Science at The University of Tokyo used molecular dynamics calculations to simulate the glass-forming ability of metallic mixtures. They show that even small changes in composition can strongly influence the likelihood…

CCNY researchers overcome barriers for bio-inspired solar energy harvesting materials

Inspired by nature, researchers at The City College of New York (CCNY) can demonstrate a synthetic strategy to stabilize bio-inspired solar energy harvesting materials. Their findings, published in the latest issue of Nature Chemistry , could be a significant breakthrough…

Looking inside the glass

Tokyo, Japan – A team of researchers from the Institute of Industrial Science at The University of Tokyo used advanced electron spectroscopy and computer simulations to better understand the internal atomic structure of aluminosilicate glass. They found complex coordination networks…

New tool predicts geological movement and the flow of groundwater in old coalfields

A remote monitoring tool to help authorities manage public safety and environmental issues in recently abandoned coal mines has been developed by the University of Nottingham. The tool uses satellite radar imagery to capture millimetre-scale measurements of changes in terrain…

USask physicist teams up with U.K. partners in world-first program of quantum technologies

As part of a new U.K.-Canada collaboration, a University of Saskatchewan quantum physics team will develop a highly sensitive and precise sensor for measuring magnetic fields, a technology of potential benefit for geological prospecting, medicine, and quantum computers. USask physicist…

Artificial Intelligence has learned to estimate oil viscosity

A group of Skoltech scientists developed machine learning (ML) algorithms that can teach artificial intelligence (AI) to determine oil viscosity based on nuclear magnetic resonance (NMR) data. The new method can come in handy for the petroleum industry and other…

Tetrahedra may explain water ‘s uniqueness

Tokyo, Japan – Researchers at the Institute of Industrial Science at The University of Tokyo sifted through experimental data to probe the possibility that supercooled water has a liquid-to-liquid phase transition between disordered and tetrahedrally structured forms. They found evidence…