Machine learning tagged posts

Two-photon lithography (TPL)—a widely used 3-D nanoprinting technique that uses laser light to create 3-D objects—has shown promise in research applications but has yet to achieve widespread industry acceptance due to limitations on large-scale part production and time-in...

Engineers from Duke University and the Institut de Physique de Nice in France have developed a new method to identify objects using microwaves that improves accuracy while reducing the associated computing time and power requirements.

The system could provide a boost to object identification and speed in fields where both are critical, such as autonomous vehicles, security screening and motion sensing.

The new machine-learning approach cuts out the middleman, skipping the step of creating an image for analysis by a human and instead analyzes the pure data directly...

Computers which are capable of teaching themselves to predict premature death could greatly improve preventative healthcare in the future, suggests a new study by experts at the University of Nottingham. The team of healthcare data scientists and doctors have developed and tested a system of computer-based ‘machine learning’ algorithms to predict the risk of early death due to chronic disease in a large middle-aged population.

They found this AI system was very accurate in its predictions and performed better than the current standard approach to prediction developed by human experts...

This is a Brain Music EEG headset. Credit: Osaka University

Music, more than any art, is a beautiful mix of science and emotion. It follows a set of patterns almost mathematically to extract feelings from its audience. Machines that make music focus on these patterns, but give little consideration to the emotional response of their audience. An international research team led by Osaka University together with Tokyo Metropolitan University, imec in Belgium and Crimson Technology has released a new machine-learning device that detects the emotional state of its listeners to produce new songs that elicit new feelings.

“Most machine songs depend on an automatic composition system,” says Masayuki Numao, professor at Osaka University...