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Researchers develop low-power memory device using synthetic DNA and semiconductors

Researchers have created a low-power memory device using synthetic DNA and a semiconductor, consuming 100 times less power than traditional memory devices. This advancement could significantly enhancโ€ฆ

Scientists turn DNA into a memory device that uses 100x less power
ScienceDaily โ€” 17 August 2026
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Researchers have developed an ultra-low-power memory device by combining synthetic DNA with a semiconductor. This innovative technology, capable of both storing and processing information in the same place, uses 100 times less power than traditional memory devices. The breakthrough was reported recently and could hold significant implications for the energy efficiency of artificial intelligence systems and next-generation computers.

This advancement comes at a critical time when the demand for energy-efficient computing is skyrocketing. As AI and data processing become increasingly integral to various industries, the energy consumption associated with these technologies has raised concerns. Current memory devices consume substantial power, contributing to higher operational costs and environmental impacts. By leveraging DNA, which naturally encodes vast amounts of information in a compact form, researchers are addressing these pressing challenges.

The new bio-hybrid memory device has the potential to revolutionize how data is stored and accessed. DNA can efficiently hold large volumes of information in a small space, which aligns with the growing need for compact and powerful computation. Early tests show promising results in terms of both performance and energy consumption, suggesting this technology could be a viable alternative to existing methods. Researchers are hopeful that this breakthrough could lead to advancements in not just computer memory but also the broader field of bioinformatics.

Looking ahead, the next step for researchers is to scale this technology for practical applications. They aim to refine the device further, exploring its capabilities in real-world scenarios, particularly in AI and machine learning environments. If successful, this technology could significantly reduce the carbon footprint of data centers and personal devices, making computing not only faster but also more sustainable. The implications stretch beyond just performance; they could redefine how we interact with technology in an increasingly digital world.

Read Full Story at ScienceDaily โ†’
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