Physical reservoir computing (PRC) utilizing synaptic devices shows significant promise for edge AI. Researchers from the Tokyo University of Science have introduced a novel self-powered dye-sensitized solar cell-based device that mimics human synaptic behavior for efficient edge AI processing, inspired by the eye's afterimage phenomenon. The device has light intensity-controllable time constants, helping it achieve high performance during time-series data processing and motion recognition tasks. This work is a major step toward multiple time-scale PRC.

A group of scientists from IOCB Prague, led by Dr. Miloslav Polášek, have created compounds that are up to a million times more stable than similar substances used in contemporary medicine to treat tumours or as contrast agents for magnetic resonance imaging. They have found a new way to securely bind metal elements, known as lanthanides, inside molecules of medical drugs. Their study has recently been published in the journal Nature Communications.

Researchers at the Icahn School of Medicine at Mount Sinai have developed an innovative approach—demonstrated in mouse models and isolated human brain tissue—to safely and effectively deliver therapeutics into the brain, providing new possibilities for treating a wide range of neurological and psychiatric diseases. Published in the November 25 online issue of Nature Biotechnology, the study introduces a first-of-its-kind blood-brain barrier-crossing conjugate (BCC) system, designed to overcome the protective barrier that typically blocks large biomolecules from reaching the central nervous system (CNS).

POSTECH and UNIST introduce the innovative “UniMat” platform utilizing 3D engineered nanofiber membrane