Applications of artificial intelligence and machine learning in dynamic pathway engineering
Dynamic pathway engineering aims to build metabolic production systems embedded with
intracellular control mechanisms for improved performance. These control systems enable …
intracellular control mechanisms for improved performance. These control systems enable …
Towards parsimonious generative modeling of RNA families
Generative probabilistic models emerge as a new paradigm in data-driven, evolution-
informed design of biomolecular sequences. This paper introduces a novel approach, called …
informed design of biomolecular sequences. This paper introduces a novel approach, called …
Fast and functional structured data generators rooted in out-of-equilibrium physics
In this study, we address the challenge of using energy-based models to produce high-
quality, label-specific data in complex structured datasets, such as population genetics, RNA …
quality, label-specific data in complex structured datasets, such as population genetics, RNA …
[HTML][HTML] Deterministic Versus Nondeterministic Optimization Algorithms for the Restricted Boltzmann Machine
GL Zeng - Journal of computational and cognitive engineering, 2024 - pmc.ncbi.nlm.nih.gov
A restricted Boltzmann machine is a fully connected shallow neural network. It can be used
to solve many challenging optimization problems. The Boltzmann machines are usually …
to solve many challenging optimization problems. The Boltzmann machines are usually …