Biological systems carry out computation and store information with efficiency levels and complexity that far exceed those of synthetic computer systems. Consider biological neural networks that are estimated to achieve at least four order of magnitude greater ops/Joule than synthetic ones, recent studies that show the extremely high storage densities that DNA can achieve, and a growing understanding of the sophisticated pathways and mechanisms that permit biological systems to interface with some of the most efficient sensing systems on the planet. At the same time, better understanding the complexity of biological systems rests on systems, hardware, and software with ever-increasing efficiency, performance, and usability.
IEEE Micro seeks articles on the intersection of biology and computer systems. Papers on a range of topics are invited, including, but not limited to:
Please see the Author Information page and the Magazine Peer Review page for more information. Please submit electronically through ScholarOne Manuscripts (https://mc.manuscriptcentral.com/cs-ieee), selecting this special-track option.
Contact guest editor Abhishek Bhattacharjee (abhishek@cs.yale.edu) or editor-in-chief Lizy John (ljohn@ece.utexas.edu).