News by Subject Technology & Engineering

A model invented by researchers at MIT and Qatar Computing Research Institute (QCRI) that uses satellite imagery to tag road features in digital maps could help improve GPS navigation.

New study is the first to use machine learning to project migration patterns resulting from sea-level rise. Researchers found the impact of rising oceans will ripple across the country, beyond coastal areas at risk of flooding, as affected people move inland. Popular relocation choices will include land-locked cities such as Atlanta, Houston, Dallas, Denver and Las Vegas. The model also predicts suburban and rural areas in the Midwest will experience disproportionately large influx of people relative to their smaller local populations.

The international team works on a computational model able to predict the properties of new molecules based on the analysis of fundamental chemical laws. The project was supported by the Russian Science Foundation (title 'Using AI methods for the planning of chemical synthesis').

Researchers of the ICAI Group -Computational Intelligence and Image Analysis- of the University of Malaga (UMA) have designed an unprecedented method that is capable of improving brain images obtained through magnetic resonance imaging using artificial intelligence.

Robots are becoming an increasingly important part of human care, according to researchers based in Japan. To help improve the safety and efficacy of robotic care, the scientists have developed a control method that could help robots better replicate human movement when lifting and moving a patient. They published their results in IEEE/CAA Journal of Automatica Sinica.

A new study finds that an interactive voice application using artificial intelligence is as accurate at tracking the wellbeing of patients being treated for serious mental illness as their own physicians.

In a time of aging infrastructure and increasingly smart control of buildings, the ability to predict how buildings use energy -- and how much energy they use -- has remained elusive, until now. Researchers from Saudi Arabia, China and the United States collaborated to develop a smarter way to predict energy use through a method that involved artificial systems, computational experiments and parallel computing.