News by Subject Technology & Engineering

Tokyo, Japan - Researchers from Tokyo Metropolitan University have used machine learning to study spin models, used in physics to study phase transitions. Previous work showed that image/handwriting classifying AI could be applied to distinguish states in the simplest models. The team showed the approach is applicable to more complex models and found that an AI trained on one model and applied to another could reveal key similarities between distinct phases in different systems.

Sorting through millions of possibilities, a search for battery materials delivered results in five weeks instead of 50 years.

Artificial intelligence will be increasingly used on labels on food and other products in the future to make them interactive, and regulations should be reformed now so they take account of new innovations, a study warns.

Can robots be effective tools in combating the COVID-19 pandemic? A group of leaders in the field of robotics say yes, and outline a number of examples in an editorial in the March 25 issue of Science Robotics. They say robots can be used for clinical care such as telemedicine and decontamination; logistics such as delivery and handling of contaminated waste; and reconnaissance such as monitoring compliance with voluntary quarantines.

Robots could perform some of the 'dull, dirty and dangerous' jobs associated with combating the COVID-19 pandemic, but that would require many new capabilities not currently being funded or developed, an editorial in the journal Science Robotics argues.

Researchers have used artificial intelligence to detect Vietnam War-era bomb craters in Cambodia from satellite images - with the hope that it can help find unexploded bombs. The new method increased true bomb crater detection by more than 160 percent over standard methods.

Clinical data should be treated as a public good when it is used for secondary purposes, such as research or the development of AI algorithms, according to a new special report.

A simulation system invented at MIT to train driverless cars creates a photorealistic world with infinite steering possibilities, helping the cars learn to navigate a host of worse-case scenarios before cruising down real streets.

KAIST researchers have developed a novel wearable strain sensor based on the modulation of optical transmittance of a carbon nanotube (CNT)-embedded elastomer. The sensor is capable of sensitive, stable, and continuous measurement of physical signals. This technology, featured in the March 4th issue of ACS Applied Materials & Interfaces as a front cover article, shows great potential for the detection of subtle human motions and the real-time monitoring of body postures for healthcare applications.