Category Technology/Electronics

Communication-aware neural networks could advance edge computing

Communication-aware neural networks that could advance edge computing
An overview of communication-aware in-memory wireless neural networks. Credit: Yang et al.

Edge computing is an emerging IT architecture that enables the processing of data locally by smartphones, autonomous vehicles, local servers, and other IoT devices instead of sending it to be processed at a centralized large data center. This approach could allow artificial intelligence (AI) models and other computational systems to perform tasks rapidly, while consuming less power.

Despite the potential of this approach, typically local devices have a limited battery capacity and restricted computing capabilities. This means they often need to send data to remote cloud servers via the internet to complete complex calculations...

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Mechanically activated liquid metal powder lets users draw circuits on paper

Mechanochemically activated liquid metal powders for sustainable, reconfigurable electronics
Advanced Functional Materials (2025). DOI: 10.1002/adfm.202527396

What if electronic circuits could be created simply by drawing lines with a pencil on paper or leaves—and then immediately applied to soft robots or skin-attached health monitoring devices? Korean researchers have developed an electronic materials technology that forms electrically conductive liquid metal in a fine powder form, allowing circuits to be drawn directly on a wide variety of surfaces.

This technology presents new possibilities for next-generation flexible electronics, including applications on paper and plastic as well as in soft robotic systems and wearable devices. The research was published in Advanced Functional Materials.

A research team led by Distinguished Professor Inkyu Park from the Departm...

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Novel AI semiconductor uses hydrogen ions for learning and memory

New AI semiconductor uses hydrogen to remember and learn
Credit: ACS Applied Materials & Interfaces (2026). DOI: 10.1021/acsami.5c21475

A research team led by Lee Hyun Jun and Noh Hee Yeon from the Division of Nanotechnology at DGIST has succeeded in implementing the world’s first two-terminal-based artificial intelligence (AI) semiconductor that precisely controls hydrogen with electrical signals to enable self-learning and memory. The team’s work appears in Advanced Science.

Whereas modern AI requires the rapid processing of vast amounts of data, the separation of computation and memory in conventional computers results in speed degradation and high power consumption...

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No battery needed: Single organic device can act as both indoor solar cell and a photodetector

Dongguk University researchers develop breakthrough material for powering next-generation smart devices
The proposed material facilitates bifunctionally driven organic photonic conversion devices for next-generation applications. Credit: Associate Professor Jea Woong Jo from Dongguk University and Associate Professor Jae Won Shim from Korea University

Next-generation optoelectronic systems (devices that convert light to electrical energy) leverage organic semiconductor-based indoor energy-autonomous architectures for cutting-edge applications. Notably, organic semiconductors possess mechanical flexibility, solution processability, and bandgap-tunable optoelectronic properties, making them highly lucrative for indoor power generation via organic photovoltaics (OPVs), as well as for spectrally selective photodetection through organic photodetectors (OPDs)...

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