Artificial intelligence and robotics in high throughput post-genomics.
The shift of post-genomics towards a systems approach has offered an ever-increasing role for artificial intelligence (AI) and robotics. Many disciplines (e.g. engineering, robotics, computer science) bear on the problem of automating the different stages involved in post-genomic research with a view to developing quality assured high-dimensional data. We review some of the latest contributions of AI and robotics to this end and note the limitations arising from the current independent, exploratory way in which specific solutions are being presented for specific problems without regard to how these could be eventually integrated into one comprehensible integrated intelligent system.
Laghaee
Aroosha
A
Institute for Perception, Action and Behaviour (IPAB), School of Informatics, James Clerk Maxwell Building, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JZ, UK. a.laghaee@sms.ed.ac.uk
Malcolm
Chris
C
Hallam
John
J
Ghazal
Peter
P
D001185:Artificial Intelligence; D001331:Automation; D023281:Genomics; D012107:Research Design; D012371:Robotics