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Ornate medieval ring discovered in Norway's oldest town

Popular Science

Ornate medieval ring discovered in Norway's oldest town Scientists are still investigating if the ring's center stone is a sapphire or colored glass. Breakthroughs, discoveries, and DIY tips sent every weekday. Last summer, Linda Åsheim found a ring so beautiful it looks like it could have been made yesterday. But Åsheim is an archaeologist, and she found the rare artifact while excavating in a Norwegian town believed to be the oldest in the country. The gorgeous golden ring is decorated with a gemstone and filigree décor--and is over 800 years old.


'It's happening fast' – creative workers and professionals share their fears and hopes about the rise of AI

The Guardian

Oliver Fiegel, a 47-year-old photographer based in Munich, was reading a German national Sunday newspaper recently when he saw a front-page image that looked strangely off. The image showed a boy chasing a football on a pitch. But some of the wildflowers on the grass floated without stems. Half the goal net was missing. The boy's hands were misshapen.


Deep Learning-based Intraoperative MRI Reconstruction

arXiv.org Artificial Intelligence

Purpose: To evaluate the quality of deep learning reconstruction for prospectively accelerated intraoperative magnetic resonance imaging (iMRI) during resective brain tumor surgery. Materials and Methods: Accelerated iMRI was performed during brain surgery using dual surface coils positioned around the area of resection. A deep learning (DL) model was trained on the fastMRI neuro dataset to mimic the data from the iMRI protocol. Evaluation was performed on imaging material from 40 patients imaged between 01.11.2021 - 01.06.2023 that underwent iMRI during tumor resection surgery. A comparative analysis was conducted between the conventional compressed sense (CS) method and the trained DL reconstruction method. Blinded evaluation of multiple image quality metrics was performed by two working neuro-radiologists and a working neurosurgeon on a 1 to 5 Likert scale (1=non diagnostic, 2=poor, 3=acceptable, 4=good, 5=excellent), and the favored reconstruction variant. Results: The DL reconstruction was strongly favored or favored over the CS reconstruction for 33/40, 39/40, and 8/40 of cases for reader 1, 2, and 3, respectively. Two of three readers consistently assigned higher ratings for the DL reconstructions, and the DL reconstructions had a higher score than their respective CS counterparts for 72%, 72%, and 14% of the cases for reader 1, 2, and 3, respectively. Still, the DL reconstructions exhibited shortcomings such as a striping artifact and reduced signal. Conclusion: DL shows promise to allow for high-quality reconstructions of intraoperative MRI with equal to or improved perceived spatial resolution, signal-to-noise ratio, diagnostic confidence, diagnostic conspicuity, and spatial resolution compared to compressed sense.