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The semiconductor industry is currently experiencing significant activity in both infrastructure development and material innovation. In India, start-ups like AGNIT Semiconductors are expanding domestic testing capabilities for high-power radio-frequency applications to support defense and telecom sectors, while C2i Semiconductors is attracting venture capital to address power efficiency in AI-driven computing infrastructure. These efforts align with broader national goals to strengthen indigenous semiconductor design and validation ecosystems.
Simultaneously, academic research is focusing on increasing chip density and performance. A team at POSTECH has developed a ZnO–Te heterojunction transistor capable of performing multiple circuit functions within a single device. By utilizing negative differential transconductance, this technology aims to reduce the number of required components by 75% and quadruple processing speeds, offering a potential pathway for more compact AI devices and highly dense integrated systems.
AGNIT Semiconductors opened a new testing laboratory in Bengaluru to enhance domestic validation for high-power radio-frequency applications.
C2i Semiconductors secured additional funding to scale its power management technology for AI-powered computing infrastructure.
Researchers at POSTECH developed a ZnO–Te heterojunction transistor that enables a single device to execute multiple circuit functions.
The new transistor technology from POSTECH reportedly reduces the number of components needed for specific functions by 75% and increases processing speed fourfold.
Investment in the semiconductor sector is being driven by the rising demand for AI compute infrastructure and government incentives for domestic production.
The facility is designed to provide in-house testing and validation for high-power radio-frequency applications, reducing reliance on external infrastructure.
It allows a single device to handle multiple functions simultaneously through double negative differential transconductance, which simplifies circuit complexity.
C2i focuses on power delivery and energy optimization for AI-powered computing infrastructure rather than manufacturing independent semiconductors.
The researchers used zinc oxide (ZnO) and tellurium (Te) to create thin, uniform films that can be fabricated at temperatures below 200 C.
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