Over the last decade, collaborative teams of engineers, chemists, and biologists have diligently studied the physical and chemical properties of cicada wings, driven by the quest to unlock the enigmatic ability of these wings to eliminate microbes on contact. The hope is that if science can replicate this natural function, it may lead to the development of products with inherently antibacterial surfaces, surpassing the effectiveness of current chemical treatments.

At Stony Brook University’s Department of Materials Science and Chemical Engineering, researchers made significant progress when they developed a simple technique to replicate the nanostructure of cicada wings. However, they still lacked a crucial piece of information – the exact mechanism by which the nanopillars on the wing’s surface exterminate bacteria. Fortunately, their answer came in the form of assistance from Jan-Michael Carrillo, a researcher at the Center for Nanophase Materials Sciences in the Department of Energy’s Oak Ridge National Laboratory.

Researchers at the University of Copenhagen have developed a groundbreaking “quantum drum,” a thin vibrating membrane capable of measuring various influences with unparalleled precision. Originally requiring extreme cooling with liquid helium, the researchers have now achieved the same accuracy at room temperature, making the quantum drum feasible for practical applications, even potentially in consumer devices like smartphones.

The heart of the quantum drum lies in its ultra-fast vibrations governed by the laws of quantum physics. By reading changes in these vibrations, researchers can detect a wide range of factors, including temperature variations, gas presence, and even the presence of a single virus. Moreover, by adding tiny magnets or pieces of metal to the drum, they can measure electric and magnetic fields with exceptional accuracy.

How does the human brain handle complex situations, like navigating through traffic in busy areas? Psychologists and neuroscientists propose that the brain creates causal models of the world, running mental simulations to plan and execute actions. This idea aligns with the concept of Reinforcement Learning (RL), a system developed by computer scientists to understand human thinking and decision-making.

In a recent study published in Neuron, researchers delved deeper into RL’s neural architecture by employing functional magnetic resonance (fMRI) to compare their algorithmic theory with real-world brain imaging. The goal was to better understand how RL plays out in the brain and potentially improve RL algorithms in artificial intelligence.

NASA’s humanoid robot, Valkyrie, is embarking on an exciting new mission in Australia. Recently delivered to Western Australia, Valkyrie will be put to the test at Woodside Energy, an Australian energy giant based in Perth. Woodside Energy plans to utilize Valkyrie for remote caretaking of its uncrewed and offshore facilities, enhancing safety for both personnel and the environment.

Shaun Azimi, lead of the dexterous robotics team at NASA Johnson, expressed enthusiasm about the project, stating, “We are pleased to be starting the next phase of development and testing of advanced robotic systems that have the potential to positively impact life on Earth by allowing safer operations in hazardous environments. These demonstrations will evaluate the current potential of advanced robots to extend the reach of humans and help humanity explore and work safely anywhere.”