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  2. Bio-inspired computing - Wikipedia

    en.wikipedia.org/wiki/Bio-inspired_computing

    For example, EU-backed SpiNNaker and BrainScaleS, Stanford's Neurogrid, IBM's TrueNorth, and Qualcomm's Zeroth. TrueNorth is a brain-inspired chip that IBM has been developing for nearly 10 years. The US DARPA program has been funding IBM to develop pulsed neural network chips for intelligent processing since 2008.

  3. Biological computation - Wikipedia

    en.wikipedia.org/wiki/Biological_computation

    From molecular and cellular information processing networks to ecologies, economies and brains, life computes. Despite ubiquitous agreement on this fact going back as far as von Neumann automata and McCulloch–Pitts neural nets , we so far lack principles to understand rigorously how computation is done in living, or active, matter".

  4. Biological computing - Wikipedia

    en.wikipedia.org/wiki/Biological_computing

    The paths of the agents through the network and/or their final positions represent potential solutions to the problem. For instance, in the system described by Nicolau et al., [6] mobile molecular motor filaments are detected at the "exits" of a network encoding the NP-complete problem SUBSET SUM. All exits visited by filaments represent ...

  5. Biological applications of bifurcation theory - Wikipedia

    en.wikipedia.org/wiki/Biological_applications_of...

    Example of a biological network between genes and proteins that controls entry into S phase. However, with knowledge of network interactions and a set of parameters for the proteins and protein interactions (usually obtained through empirical research), it is often possible to construct a model of the network as a dynamical system .

  6. Machine learning in bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Machine_learning_in...

    Machine learning in environmental metagenomics can help to answer questions related to the interactions between microbial communities and ecosystems, e.g. the work of Xun et al., in 2021 [50] where the use of different machine learning methods offered insights on the relationship among the soil, microbiome biodiversity, and ecosystem stability.

  7. Bioimage informatics - Wikipedia

    en.wikipedia.org/wiki/Bioimage_informatics

    Bioimage informatics is a subfield of bioinformatics and computational biology. [1] It focuses on the use of computational techniques to analyze bioimages, especially cellular and molecular images, at large scale and high throughput.

  8. Quantum biology - Wikipedia

    en.wikipedia.org/wiki/Quantum_biology

    Quantum biology is the study of applications of quantum mechanics and theoretical chemistry to aspects of biology that cannot be accurately described by the classical laws of physics. [1] An understanding of fundamental quantum interactions is important because they determine the properties of the next level of organization in biological systems.

  9. Synthetic biology - Wikipedia

    en.wikipedia.org/wiki/Synthetic_biology

    [231] [232] Synthetic biology is an example of a dual-use technology with the potential to be used in ways that could intentionally or unintentionally harm humans and/or damage the environment. Often "scientists, their host institutions and funding bodies" consider whether the planned research could be misused and sometimes implement measures ...