As the global data volume surges towards a projected 181 zettabytes by 2025, AI demands high levels of storage capacity and performance, according to Avnet Integrated Solutions. AI applications ...

“It's encouraging to see that epigenetic principles from biochemistry textbooks and taught in my classroom can be applied seamlessly to DNA data storage applications to solve some of the unmet ...

They emphasize that their technology is scalable and adaptable, meaning it can be optimized for large-scale data storage applications, meeting market demands and future DNA synthesis and ...

Huawei’s Future-proof Data Storage Power aims to accelerate digital and intelligent transformation across industries ...

Goldman Sachs Research estimates that the global demand for electricity from datacenters will increase by 50 percent between ...

This marks a significant departure from current DNA data storage methods, which could only be done in a lab before.In this distributed system, users could “write” data to DNA in their own ...

Therefore, the storage infrastructure needed to support these systems must be able to scale in parallel with the rapid advancements in AI applications and capabilities. With AI creating new data ...

will be used to expand the project's decentralized data storage protocol and build further applications atop it.