AIMC Topic: Synthetic Biology

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Digital-to-biological converter for on-demand production of biologics.

Nature biotechnology
Manufacturing processes for biological molecules in the research laboratory have failed to keep pace with the rapid advances in automization and parellelization. We report the development of a digital-to-biological converter for fully automated, vers...

Biological standards for the Knowledge-Based BioEconomy: What is at stake.

New biotechnology
The contribution of life sciences to the Knowledge-Based Bioeconomy (KBBE) asks for the transition of contemporary, gene-based biotechnology from being a trial-and-error endeavour to becoming an authentic branch of engineering. One requisite to this ...

Anticipation: Beyond synthetic biology and cognitive robotics.

Bio Systems
The aim of this paper is to propose that current robotic technologies cannot have intentional states any more than is feasible within the sensorimotor variant of embodied cognition. It argues that anticipation is an emerging concept that can provide ...

DIY-Bio - economic, epistemological and ethical implications and ambivalences.

Life sciences, society and policy
Since 2008, we witness the emergence of the Do-It-Yourself Biology movement, a global movement spreading the use of biotechnology beyond traditional academic and industrial institutions and into the lay public. Practitioners include a broad mix of am...

Synthetic collective intelligence.

Bio Systems
Intelligent systems have emerged in our biosphere in different contexts and achieving different levels of complexity. The requirement of communication in a social context has been in all cases a determinant. The human brain, probably co-evolving with...

TensorFlow: Biology's Gateway to Deep Learning?

Cell systems
TensorFlow is Google's recently released open-source software for deep learning. What are its applications for computational biology?

Artificial intelligence and synthetic biology: A tri-temporal contribution.

Bio Systems
Artificial intelligence can make numerous contributions to synthetic biology. I would like to suggest three that are related to the past, present and future of artificial intelligence. From the past, works in biology and artificial systems by Turing ...

Managing bioengineering complexity with AI techniques.

Bio Systems
Our capabilities for systematic design and engineering of biological systems are rapidly increasing. Effectively engineering such systems, however, requires the synthesis of a rapidly expanding and changing complex body of knowledge, protocols, and m...

The role of regulation in the origin and synthetic modelling of minimal cognition.

Bio Systems
In this paper we address the question of minimal cognition by investigating the origin of some crucial cognitive properties from the very basic organisation of biological systems. More specifically, we propose a theoretical model of how a system can ...

A Novel Linear Machine Learning Method Based on DNA Hybridization Reaction Circuit.

IEEE transactions on nanobioscience
DNA hybridization reaction is a significant technology in the field of semi-synthetic biology and holds great potential for use in biological computation. In this study, we propose a novel machine learning model based on a DNA hybridization reaction ...