<ul><li>Researchers from the Max Planck Institute for the Science of Light and Massachusetts Institute of Technology have developed reconfigurable recurrent operators based on sound waves for photonic machine learning. The method allows optical neural networks to be programmable on a pulse-by-pulse basis without complicated structures and transducers.</li><li>Scientists at the University of Florida have built a 3D ferroelectric-gate fin nanomechanical resonator that enables spectral processors to integrate different frequencies on a monolithic chip for wireless communications. The processors deliver enhanced performance and have indefinite scalability.</li><li>Researchers from MIT and MIT-IBM Watson AI Lab have developed an on-device digital in-memory compute machine learning accelerator that is resistant to side-channel and bus-probing attacks. The accelerator splits data into random pieces to combat side-channel attacks and utilizes encryption and physically unclonable functions to prevent bus-probing attacks.</li></ul>

Research Bits: April 30

Discover more