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A new study reveals a fresh way to control and track the motion of skyrmions—tiny, tornado-like magnetic swirls that could power future electronics. Using electric currents in a special magnetic material called Fe₃Sn₂, the team got these skyrmions to “vibrate” in specific ways, unlocking clues about how invisible spin currents flow through complex materials.

The discovery not only confirms what theory had predicted but also points to a powerful new method for detecting spin currents—a discovery that could one day lead to more efficient memory and sensing devices in future electronics. The findings are published in the journal Nature Communications.

Led by Assistant Prof. Amir Capua and Ph.D. Candidate Nirel Bernstein from the Institute of Applied Physics and Nano Center at Hebrew University in collaboration with Prof. Wenhong Wang and Dr. Hang Li from Tiangong University, the team explored how skyrmions behave in a special magnetic material called Fe₃Sn₂ (iron tin).

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The antibody PLT012 targets the fat transporter CD36 to restore immune responses in tumors, offering a new and promising approach to treating immunotherapy-resistant cancers. A new study from Ludwig Cancer Research has uncovered a key mechanism by which immune cells within tumors take up fat, a p

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The IBS-Yonsei research team introduces a novel Lp-Convolution method at ICLR 2025. A team of researchers from the Institute for Basic Science (IBS), Yonsei University, and the Max Planck Institute has developed a new artificial intelligence (AI) technique that brings machine vision closer to the

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Imagine slipping on a pair of contact lenses and suddenly being able to see infrared light—without any bulky equipment or even a battery. That’s now a reality thanks to breakthrough lenses developed by scientists that convert invisible infrared into visible colors.

Mice tested with the lenses navigated away from infrared light, while humans could perceive flickering codes and light directions. The lenses even work better with eyes closed, thanks to superior penetration of infrared light.

Infrared Vision Through Contact Lenses

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Is artificial intelligence (AI) capable of suggesting appropriate behavior in emotionally charged situations? A team from the University of Geneva (UNIGE) and the University of Bern (UniBE) put six generative AIs—including ChatGPT—to the test using emotional intelligence (EI) assessments typically designed for humans.

The outcome: these AIs outperformed average human performance and were even able to generate new tests in record time. These findings open up new possibilities for AI in education, coaching, and . The study is published in Communications Psychology.

Large language models (LLMs) are (AI) systems capable of processing, interpreting and generating human language. The ChatGPT generative AI, for example, is based on this type of model. LLMs can answer questions and solve complex problems. But can they also suggest emotionally intelligent behavior?

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In women with dense breasts (breasts with relatively low levels of fatty tissue) and a negative mammogram, supplemental imaging techniques detect early-stage cancers, with imaging techniques three times more effective than ultrasound, finds a Phase III randomized control trial published in The Lancet.

Women with extremely , about 10% of those aged 50–70 years in the UK, face a fourfold increased risk of breast cancer compared to those with the least dense breasts.

Mammograms are less effective for detecting early-stage cancer in dense breasts, as the tissue can hide tumors on the breast X-rays. Previous studies have shown MRI and are effective supplementary imaging methods, but this study is the first to compare them with contrast mammography in women with normal mammograms and dense breast tissue.

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