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Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. [1] Google Brain, a deep learning project part of Google X attempting to have intelligence similar or equal to human-level. [2] Human Brain Project, ten-year scientific research project, based on exascale ...
For example, there is a prototype, photonic, quantum memristive device for neuromorphic (quantum-)computers (NC)/artificial neural networks and NC-using quantum materials with some variety of potential neuromorphic computing-related applications, [367] [368] and quantum machine learning is a field with some variety of applications under ...
Climatext is a dataset for sentence-based climate change topic detection. HF dataset [395] University of Zurich GreenBiz Collection of articles and news about climate and sustainability This data is not pre-processed Curated list of climate articles Curated list of sustainability articles [396] Top research pre-prints in climate and sustainability
Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study of pattern recognition and computational learning theory. [1] In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". [ 2 ]
Applications of machine learning (ML) in earth sciences include geological mapping, gas leakage detection and geological feature identification.Machine learning is a subdiscipline of artificial intelligence aimed at developing programs that are able to classify, cluster, identify, and analyze vast and complex data sets without the need for explicit programming to do so. [1]
[4] [5] An emerging branch of Citizen Science are Community Mapping projects that utilize smartphone and tablet technology. For example, TurtleSAT [6] is a community mapping project that is mapping freshwater turtle deaths throughout Australia. This list of citizen science projects involves projects that engage all age groups.
Applying machine learning (ML) (including deep learning) methods to the study of quantum systems is an emergent area of physics research.A basic example of this is quantum state tomography, where a quantum state is learned from measurement. [1]
The increase in biological publications increased the difficulty in searching and compiling relevant available information on a given topic. This task is known as knowledge extraction . It is necessary for biological data collection which can then in turn be fed into machine learning algorithms to generate new biological knowledge.