Computer Sciences

New deep learning techniques lead to materials imaging breakthrough

Supercomputers help researchers study the causes and effects—usually in that order—of complex phenomena. However, scientists occasionally need to deduce the origins of scientific phenomena based on observable results. ...

Computer Sciences

Using deep learning to predict imminent precipitations

Deep learning models have proved to be very effective for analyzing large amounts of data and accurately predicting future events. This makes them advantageous for a wide range of applications, including weather forecasting.

Computer Sciences

New AI sensor technology for autonomous driving

Researchers at TU Graz have modeled an AI system for automotive radar sensors that filters out interfering signals caused by other radar sensors and dramatically improves object detection. Now the system is to be made more ...

Computer Sciences

Can machine-learning models overcome biased datasets?

Artificial intelligence systems may be able to complete tasks quickly, but that doesn't mean they always do so fairly. If the datasets used to train machine-learning models contain biased data, it is likely the system could ...

Computer Sciences

How well do explanation methods for machine-learning models work?

Imagine a team of physicians using a neural network to detect cancer in mammogram images. Even if this machine-learning model seems to be performing well, it might be focusing on image features that are accidentally correlated ...

Computer Sciences

Citizen science, supercomputers and AI

Citizen scientists have helped researchers discover new types of galaxies, design drugs to fight COVID-19, and map the bird world. The term describes a range of ways that the public can meaningfully contribute to scientific ...

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