News by Subject Technology & Engineering

Researchers at the Nara Institute of Science and Technology (NAIST) report a new machine translation system that outputs subtitles in multiple languages for archived university lectures. As countries like China and Japan expand their international student cohort, this system could relax language demands and allow the students to study in their mother tongue.

Automated analysis of the two language variables -- more frequent use of words associated with sound and speaking with low semantic density, or vagueness -- can predict whether an at-risk person will later develop psychosis with 93 percent accuracy.

A new tool for predicting a person's movement trajectory may help humans and robots work together in close proximity.

A UCLA-led research team has developed a faster and more accurate way to determine where the many bacteria that live in, and on, humans come from. Broadly, the tool can deduce the origins of any microbiome, a localized and diverse community of microscopic organisms.

A University of Houston biomedical engineer reports in eNeuro that a brain-computer interface, a form of artificial intelligence, can sense when its user is expecting a reward by examining the interactions between single-neuron activities and the information flowing to these neurons. The work represents a significant step forward for prosthetics that perform more naturally.

Businesses actively embracing artificial intelligence and striving to bring technological advancements into their operations are reaping dividends not seen by companies who fail to properly adapt and adopt.

PNNL data scientist, Dr. Svitlana Volkova, the team analyzed three years of discussions on Reddit from January 2015 to January 2018. The team measured the speed and scale of discussion spread related to Bitcoin, Ethereum, and Monero cryptocurrencies.

Machine learning has the potential to vastly advance medical imaging, particularly computerized tomography (CT) scanning, by reducing radiation exposure and improving image quality. Those new research findings will be published Monday in Nature Machine Intelligence by engineers at Rensselaer Polytechnic Institute and radiologists at Massachusetts General Hospital and Harvard Medical School.