A tandem neural network capable of inferring key physical parameters of semiconductor materials from simple transistor measurements has been developed, as reported by researchers from the Institute of ...

IBM chooses a different path from Intel, Samsung, and TSMC ...

Downscaling of electronic devices, such as transistors, has reached a plateau, posing challenges for semiconductor fabrication. However, a research team led by materials scientists recently discovered ...

Transistors, small semiconductor-based switches that control the flow of electricity, are central components of all electronic devices, from computers to smartphones, wearables, sensors and smart ...

Photonic synaptic transistors are being investigated for their potential applications in neuromorphic computing and artificial vision systems. Recently, a method for establishing a synaptic effect by ...

Researchers have developed an AI-driven semiconductor analysis technique that extracts critical material properties from ...

As the global semiconductor industry enters the so-called 2-nanometer process era, the actual size of transistors—the core ...

Researchers showed that narrowing the monolayer TMD nanoribbon transistor channel to about 35 nm increased the median ...

Probabilistic computing is a computing scheme that offers a more efficient approach than conventional complementary metal-oxide–semiconductor (CMOS)-based logic in a variety of applications ranging ...

Shrinking silicon transistors have reached their physical limits, but a team from the University of Tokyo is rewriting the rules. They've created a cutting-edge transistor using gallium-doped indium ...

At the recent 2026 IEEE/JSAP Symposium on VLSI Technology and Circuits, imec, in partnership with the lithography solution ...

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, offering a new approach to hardware security for IoT devices. (Nanowerk ...