Rochester Institute of Technology의 Kate Gleason 공과대학 연구팀이 개발한 DNA 프로세서입니다. 특별하게 조작한 DNA 분자가 포함된 용액의 농도를 통해 숫자를 표현하고, 이 DNA 분자를 조작해 덧셈이나 곱셈 등을 계산할 수 있습니다.
또 DNA가 아데닌, 티민, 구아닌, 시토신으로 구성된다는 점을 응용해서 데이터를 저장할 수도 있습니다. 저장 용량 밀도가 높아 SSD보다 3~6배 더 큰 용량을 저장할 수 있다네요. 다만 밀도가 높다고 했지 쌩 용량이 높다곤 하진 않았으니까 아직은 크지 않을 겁니다. 또 처리 속도와 저장 속도 역시 아직은 엄청나게 느릴테고요.
An engineering researcher at Rochester Institute of Technology has discovered the means to process data using DNA.
Amlan Ganguly, computer engineering department head in RIT’s Kate Gleason College of Engineering, and researchers at the University of Minnesota, designed a microfluidic integrated circuit to perform complex operations through artificial neural network computations on data stored in DNA.
Their biocomputing design is a breakthrough that builds on innovative DNA engineering and computing system advances.
“We are in the age of big data that needs to be stored somewhere. We don’t think that more data centers are the answer, or even the best answer. Each data center requires the equivalent of a city block of power. Building, maintaining, and operating more traditional data centers is not sustainable,” said Ganguly, who added data stored on DNA is a largely unexplored area of research.
“DNA is excellent at storing information, in fact, it is much better than the electronic modes of memory because it is about 3-to-6 orders of magnitude more compact than most memory hardware that we have; it is also much more reliable and durable.”
The research team’s work today can lay the foundation to store the huge amounts of data generated by millions of personal and commercial tech devices. More robust storage capacity could improve archival data searches and forensics or medical sciences and biomedical applications where computing functions must be live-tissue compatible.
Results from the study were published in PLOS One Journal in the fall.
DNA and computing have several common functions: sequencing, or reading data, and synthesizing, or writing data. By beginning to manipulate materials at the molecular level, researchers are developing ways to decrease the electronics aspect of tech storage to increase use of biocompatible and highly compact storage and processing systems.
“We proposed to represent numbers through concentrations of solutions containing specifically manipulated DNA molecules and computing operations as manipulation of DNA molecules—operations like addition and multiplication and other non-linear functions necessary for network computations can be performed. That is the bridge from storage to computation and using DNA as a vehicle to do the computation,” Ganguly said.
The researchers are designing a prototype microfluidic system, a lab-on-chip device. It is a miniaturized system that can provide the output of an artificial neural network, which is a basic artificial intelligence algorithm. The microfluidic device functions as both a sensor and mini-computer processor consisting of a series of small channels with embedded nanotechnology sensors to separate, detect, and attract molecules in liquid samples.
Ganguly’s team is building a larger-scaled microfluidic device with the help of students in the engineering college’s senior design program. A larger model will help visualize the functions that the team is trying to achieve. Eventually, the development of a new computing structure may have additional environmental benefits.
“A computer made out of this DNA substrate is going to be far more sustainable than the traditional electronics we have now,” he said.
↓https://www.rit.edu/venturefund/news/researcher-bridges-biology-and-computing-processing-dna-storage
