AI that can learn the patterns of human language
Human languages are notoriously complex, and linguists have long thought it would be impossible to teach a machine how to analyze speech sounds and word structures in the way human investigators do.
ROBE Array could let small companies access popular form of AI
A breakthrough low-memory technique by Rice University computer scientists could put one of the most resource-intensive forms of artificial intelligence—deep-learning recommendation models (DLRM)—within reach of small companies.
Optimizing fluid mixing with machine learning
Fluid mixing is an important part of several industrial processes and chemical reactions. However, the process often relies on trial-and-error-based experiments instead of mathematical optimization. While turbulent mixing is effective, it cannot always be sustained and can damage the materials involved. To address this issue, researchers from Japan have now proposed an optimization approach to …
Developing driving simulations that look more life-like
Today’s driving simulators have a big problem: They don’t look realistic enough, particularly background objects, such as trees, and road markings. But researchers have developed a new way to create photorealistic images for simulators, paving the way for better testing of driverless cars.
Efficient AI technology for MRI data analysis
An algorithm developed by researchers from Helmholtz Munich, the Technical University of Munich (TUM) and its University Hospital rechts der Isar, the University Hospital Bonn (UKB) and the University of Bonn is able to learn independently across different medical institutions. The key feature is that it is self-learning, meaning it does not require extensive, time-consuming …
Remote heart rate sensors can be biased against darker skin. UCLA team offers solution
As telemedicine has grown more popular, so have devices that allow people to measure their vital signs from home and transmit the results by computer to their doctors. Yet in many cases, obtaining accurate remote readings for people of color has proved a persistent challenge.