DNA computing and DNA data storage are emerging fields that are unlocking new
possibilities in information technology and diagnostics. These approaches use DNA …

Learning is traditionally studied in biological or computational systems. The power of
learning frameworks in solving hard inverse problems provides an appealing case for the …

Inspired by biology's most sophisticated computer, the brain, neural networks constitute a
profound reformulation of computational principles,–. Analogous high-dimensional, highly …

DNA strand displacement reactions (SDRs) provide a set of intelligent toolboxes for
develo** molecular computation. Whereas SDR-based logic gate circuits have achieved a …

DNA as an informational polymer has, for the past 30 years, progressively become an
essential molecule to rationally build chemical reaction networks endowed with powerful …

Employing concepts from physics, chemistry and bioengineering,'learning-by-
building'approaches are becoming increasingly popular in the life sciences, especially with …

In the field of biocomputing and neural networks, deoxyribonucleic acid (DNA) strand
displacement (DSD) technology performs well in computation, programming, and …

The exciting sci-tech arena of synthetic biology (SB) provides concepts, tools, and
approaches for fundamental revolutions in basic and applied research. SB plays a key role …

SemiSynBio is an emerging topic toward the construction of platforms for next-generation
information processing. Recent research has indicated its promising prospect toward …

Inspired by natural biochemicals that perform complex information processing within living
cells, we design and simulate a chemically implemented feedforward neural network, which …