Research Bits: Sept. 30

Researchers from various institutions have developed a hybrid memory system that combines ferroelectric capacitors and memristors into a single, CMOS-compatible memory stack for adaptive local training and inference of artificial neural networks. A magnetic transistor with built-in memory has been created by MIT and University of Chemistry and Technology Prague, allowing for improved signal strength and faster information retrieval. Additionally, researchers from the University of Gothenburg and Chalmers University of Technology have built light-powered gears on a micrometer scale for on-chip motors, enabling new possibilities for microscale mechanics and potential medical applications.