Lifeboat Foundation

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.

Continue reading “Inspired by squids and octopi, a new screen stores and displays encrypted images without electronics” »

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 brain.

Continue reading “Novel framework allows for automated tuning of large-scale neuronal models” »

New research led by the Institute for Bioengineering of Catalonia (IBEC) has studied the migratory movement of groups of cells using light control. The results show that there is no leader cell that directs the collective movement, as previously thought, but that all cells participate in the process.

A team of researchers from the Max Planck Institute for the Structure and Dynamics of Matter (MPSD) in Hamburg, Germany, and Brookhaven National Laboratory in the United States has demonstrated a new way to study disorder in superconductors using terahertz pulses of light.

In a published in the journal npj Computational Materials, Oak Ridge National Laboratory scientists developed a deep learning model—a type of artificial intelligence that mimics human brain function—to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition, or PLD.

Researchers have introduced a solution to the problem of light-sheet fluorescence microscopy: novel illumination beams designed based on deep learning using a trainable phase mask. Their study eliminates the need for sophisticated optical design tools, allowing optimization to be directly applied to improve image contrast.

A research team has proposed a novel approach to accurately describe electron transfer mediated nonadiabatic dynamics of molecules at metal surfaces. Their works were published in Physical Review Letters.

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.”

Explore the latest challenges to the Big Bang theory and discover how new observations are reshaping our understanding of the universe’s origins.