A speed record has been broken using nanoscience, which could lead to a host of new advances, including improved battery charging, biosensing, soft robotics and neuromorphic computing.
Despite being a mature technology in existence for over several decades, silicon photonic modulators face scrutiny from industry and academic experts. In a recent editorial interview, experts emphasize the need to explore ...
Researchers at Università Cattolica, Brescia campus, have discovered that the transition from insulating to conductive behavior in certain materials is driven by topological defects in the structure.
Next-generation technologies, such as leading-edge memory storage solutions and brain-inspired neuromorphic computing systems, could touch nearly every aspect of our lives—from the gadgets we use daily to the solutions ...
Artificial intelligence applications are experiencing a boom and expected to be mainstream technologies in the near future. However, these applications run on classic computing hardware and are extremely power-hungry.
With the development of artificial intelligence technology, various artificial hardware neural networks such as recursive neural networks, convolutional neural networks, and spiking neural networks have been proposed to meet ...
In electronic technologies, key material properties change in response to stimuli like voltage or current. Scientists aim to understand these changes in terms of the material's structure at the nanoscale (a few atoms) and ...
Putting 50 billion transistors into a microchip the size of a fingernail is a feat that requires manufacturing methods of nanometer level precision—layering of thin films, then etching, depositing, or using photolithography ...
With just the flick of a switch, quantum materials can undergo drastic changes. One notable example is the insulator-to-metal transition, a reversible physical phenomenon in which a material shifts from an insulating state, ...
Researchers from the Institute for Molecules and Materials at Radboud University, Netherlands, have demonstrated that a complex self-organizing chemical reaction network can perform various computational tasks, such as nonlinear ...
