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Inspired by squids and octopi, a new screen stores and displays encrypted images without electronics

A flexible screen inspired in part by squid can store and display encrypted images like a computer—using magnetic fields rather than electronics. The research is reported in Advanced Materials by University of Michigan engineers.

“It’s one of the first times where mechanical materials use magnetic fields for system-level encryption, information processing and computing. And unlike some earlier mechanical computers, this device can wrap around your wrist,” said Joerg Lahann, the Wolfgang Pauli Collegiate Professor of Chemical Engineering and co-corresponding author of the study.

The researchers’ screen could be used wherever light and power sources are cumbersome or undesirable, including clothing, stickers, ID badges, barcodes and e-book readers. A single screen can reveal an image for everyone to see when placed near a standard magnet or a private encrypted image when placed over a complex array of magnets that acts like an encryption key.

Novel framework allows for automated tuning of large-scale neuronal models

Developing large-scale neural network models that mimic the brain’s activity is a major goal in the field of computational neuroscience. Existing models that accurately reproduce aspects of brain activity are notoriously complex, and fine-tuning model parameters often requires significant time, intuition, and expertise.

New published research from an interdisciplinary group of researchers primarily based at Carnegie Mellon University and the University of Pittsburgh presents a novel solution to mitigate some of these challenges. The machine learning-driven framework, Spiking Network Optimization using Population Statistics (SNOPS), can quickly and accurately customize models that reproduce activity to mimic what’s observed in the .

The work is published in the journal Nature Computational Science.

IQM Quantum Computers Reaches Production Milestone of 30 Quantum Computers

PRESS RELEASE — IQM Quantum Computers (IQM), a global leader in designing, building, and selling superconducting quantum computers, today announced that it has reached a milestone of producing 30 full-stack quantum computers in its manufacturing facility in Finland.

In addition, IQM has also completed the delivery and installation of six full-stack quantum computers to customers worldwide. IQM’s previously announced customers include VTT Technical Research Centre of Finland, Leibniz Supercomputing Centre (LRZ) in Germany as well as Forschungszentrum Jülich in Germany.

With increasing demand for on-premises quantum computers globally, IQM Quantum Computers Co-CEO Mikko Välimäki highlighted the significance of the manufacturing milestone, stating: “One of the key bottlenecks in quantum computer adoption has been prohibitively high prices. We are the first quantum computer manufacturer with the goal of taking quantum computers to a much wider market with industrialized manufacturing capabilities that help drive the prices lower. Looking ahead, our production line has the capacity to deliver up to 20 full-stack quantum computers a year.”

Controlling molecular arrangements using selenium doping

Physicists from the National University of Singapore (NUS) have achieved controlled conformational arrangements in nanostructures using a flexible precursor and selenium doping, enhancing material properties and structural homogeneity. Their method advances on-surface synthesis for the design and development of engineered nanomaterials.

On-surface synthesis has been extensively investigated over the past decades for its ability to create diverse nanostructures. Various complex nanostructures have been achieved through the smart design of precursors, choice of substrates and precise control of experimental parameters such as molecular concentration, electrical stimulation and thermal treatment.

Among these methods, the Ullmann coupling is notable for efficiently linking precursors through dehalogenation and covalent bonding. While most research has focused on conformationally rigid precursors, exploring conformationally flexible precursors offers significant potential for developing complex functional nanomaterials with engineered structures and properties.