Researchers from Delft University of Technology in The Netherlands have been able to see the magnetic nucleus of an atom switch back and forth in real time. They read out the nuclear ‘spin’ via the electrons in the same atom through the needle of a scanning tunneling microscope. To their surprise, the spin remained stable for several seconds, offering prospects for enhanced control of the magnetic nucleus. The research, published in Nature Communications, is a step forward for quantum sensing at the atomic scale.

Resistive Random Access Memory (ReRAM), which is based on oxide materials, is gaining attention as a next-generation memory and neuromorphic computing device. Its fast speeds, data retention ability, and simple structure make it a promising candidate to replace existing memory technologies. KAIST researchers have now clarified the operating principle of this memory, which is expected to provide a key clue for the development of high-performance, high-reliability next-generation memory.

Diesel engines have long been a cornerstone of transportation and industry, but their emissions have posed significant environmental and health challenges. A new study titled "Advancements in Diesel Emission Reduction Strategies: A Focus on Water-in-Diesel Emulsion Technology" explores innovative solutions to reduce harmful emissions while enhancing engine performance. This research delves into the potential of water-in-diesel emulsion (WiDE) technology, offering a promising pathway to a cleaner, more efficient future.

A research team from the Department of Microbiology under the School of Clinical Medicine in the LKS Faculty of Medicine of the University of Hong Kong (HKUMed), has successfully developed the world’s first ‘nasal organoid-based SARS-CoV-2 Neutralising Antibody Evaluation Platform’. The platform uses respiratory organoids that adequately model viral infection in the human respiratory tract, enabling accurate assessment of the effectiveness of antibodies and vaccines against SARS-CoV-2, the virus responsible for COVID-19.

From medicine to electronics and optics, new materials developed by scientists at Kaunas University of Technology (KTU) can be applied in various fields where cleanliness, precision, and durability are essential. They stand out not only for their functionality but also for their sustainability: they are made from renewable raw materials, and no solvents are used during production.

UCLA engineers have developed a wearable, noninvasive brain-computer interface system that utilizes artificial intelligence as a co-pilot to help infer user intent and complete tasks by moving a robotic arm or a computer cursor. Published in Nature Machine Intelligence, the study shows that the interface demonstrates a new level of performance in noninvasive brain-computer interface, or BCI, systems. This could lead to a range of technologies to help people with limited physical capabilities, such as those with paralysis or neurological conditions, handle and move objects more easily and precisely.