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Artificial intelligence and high-performance computing are driving up the demand for massive sources of energy. But neuromorphic computing, which aims to mimic the structure and function of the human brain, could present a new paradigm for energy-efficient computing. To this end, researchers at Lawrence Livermore National Laboratory (LLNL) created a droplet-based platform that uses ions to perform simple neuromorphic computations. Using its ability to retain short-term memory, the team trained the droplet system to recognize handwritten digits and play tic-tac-toe. The work was published in Science Advances.

Livermorium is named after the Lawrence Livermore National Laboratory, which worked together with the Joint Institute for Nuclear Research to discover the element. It's part of the chalcogen group, but it's predicted to only share some of their properties.

Carbon Nanotubes Could Revolutionize Everything from Batteries and Water Purifiers to Auto Parts and Sporting Goods: Update from Lawrence Livermore National Laboratory

Vertically aligned carbon nanotubes growing from catalytic nanoparticles (gold color) on a silicon wafer on top of a heating stage (red glow). Diffusion of acetylene (black molecules) through the gas phase to the catalytic sites determines the growth rate in a cold-wall showerhead reactor. Credit: Image by Adam Samuel Connell/LLNL Scientists at the Department of Energy’s Lawrence Livermore…