Modern artificial intelligence systems rely on moving large amounts of data between memory and processors, a design that limits speed and increases energy use. The human brain works differently: it combines memory and computation within synapses, allowing fast, efficient learning and perception. Replicating this approach in hardware is a central goal of neuromorphic computing, especially for tasks like vision, where most real-world information is gathered and processed.

Faculty in the Cockrell School of Engineering have developed a rare printer as part of a larger project to speed up production and lower costs of manufacturing semiconductors critical to modern electronics.

By electrochemically introducing phosphonate ester groups into conductive polymer films, researchers at Science Tokyo have addressed a fundamental trade-off between electronic charge transport and ion transport, overcoming a key performance limitation in organic electrochemical transistors (OECTs).

The security of modern communications heavily relies on systems that can rapidly and reliably verify users and the devices they are using. This process, known as authentication, essentially entails confirming that users or devices are legitimate (i.e., who or what they claim to be).