Figure 1 Switch U1a and current mirror Q2Q3 apply an excitation current ratio of 10.23:1 to the 9-sensor transistor string.
Researchers develop organic synaptic transistors for neuromorphic computing, aiming to match the human brain's 20-watt efficiency for AI.
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Silicon oscillators solve computer problems that would take thousands of years using semiconductors
In the era of big data and artificial intelligence, a new approach has emerged for solving combinatorial optimization ...
A single high-energy electron could degrade chips faster than expected, raising new concerns for performance and device ...
In the era of big data and artificial intelligence, a new approach has emerged for solving combinatorial optimization ...
Unlike conductors such as copper, which allow electricity to flow freely, or insulators such as rubber, which block ...
Properly selected components make it easier to design modern, energy-efficient power supplies. In this article we present an ...
New Monolithic GaN converters from STMicroelectronics help boost energy savings in a wide range of applications.
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Inspired by the brain, researchers build smarter and more efficient computer hardware
As traditional computer chips reach their physical limits and artificial intelligence demands more energy than ever, ...
Researchers demonstrate DNA-based electronic memory controlled by metal ions, enabling read-write-erase functions on a chip ...
STMicroelectronics has introduced two new 100W high-voltage converters based on gallium nitride (GaN) technology.
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