Machine learning & AI

Scientists adopt deep learning for multi-object tracking

Computer vision has progressed much over the past decade and made its way into all sorts of relevant applications, both in academia and in our daily lives. There are, however, some tasks in this field that are still extremely ...

Computer Sciences

Faster holographic imaging using recurrent neural networks

Digital holographic imaging is a commonly used microscopy technique in biomedical imaging. It reveals rich optical information of the sample, which could be used, for example, to detect pathological abnormalities in tissue ...

Energy & Green Tech

A critical understanding of why and how solid-state batteries fail

Researchers from the Faraday Institution's SOLBAT project have made a significant step in understanding how and why solid-state batteries (SSBs) fail. A paper, published in Nature Materials on 22 April, provides answers to ...

Engineering

Sunlight to solve the world's clean water crisis

Researchers at UniSA have developed a cost-effective technique that could deliver safe drinking water to millions of vulnerable people using cheap, sustainable materials and sunlight.

Machine learning & AI

Making the role of AI in medicine explainable

Universitätsmedizin Berlin and TU Berlin as well as the University of Oslo have developed a new tissue-section analysis system for diagnosing breast cancer based on artificial intelligence (AI). Two further developments ...

Energy & Green Tech

Carbon dioxide removal from the atmosphere using sustainable energy

Much work is taking place on methods for capturing CO2 from the atmosphere to combat climate change. In addition to existing methods that use toxic solvents, electrochemical techniques that can work with sustainable electricity ...

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