They also would like to use low-leakage transistors to reduce the refresh power demands of large memory arrays. Amorphous oxide semiconductors like IGZO (indium gallium zinc oxide) offer acceptable ...
Materials innovation drives next-gen AI chips, enabling performance, efficiency and scalability.
In recent years, electronics engineers have been trying to identify semiconducting materials that could substitute for ...
Neurophos is taking a crack at solving the AI industry's power efficiency problem with an optical chip that uses a composite material to do the math required in AI inferencing tasks.
Magnachip Semiconductor Corporation (NYSE: MX, "Magnachip") today announced the launch of its new series of Insulated Gate ...
Drawing inspiration from the remarkable adaptability of the human eye, researchers from the Institute of Metal Research (IMR) ...
Taking the classic green scream recipe and bolstering its customization for high-gain metal and extended-range players, this ...
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A Hidden Monopoly: Why AI Can't Exist Without Cadence
While retail investors pile into crowded trades like NVIDIA (NASDAQ: NVDA) or TSMC (NYSE: TSM), sophisticated capital is ...
Quantum computers, systems that process information leveraging quantum mechanical effects, could reliably tackle various ...
SNDK has surged in early 2026 as NAND scarcity and AI storage demand fuel massive earnings growth and keep its valuation in ...
A new technical paper titled “A Cryogenic Ultra-Thin Body SiGeSn Transistor” was published by researchers at TU Wien, Johannes Kepler University, Universidad de Granada, and Max Planck Institute for ...
The EPC2366 40 V eGaN® FET sets new benchmarks in performance, efficiency, and power density for next-generation power ...
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