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  2. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

  3. List of artificial intelligence projects - Wikipedia

    en.wikipedia.org/wiki/List_of_artificial...

    AlphaFold is a deep learning based system developed by DeepMind for prediction of protein structure. [ 76 ] Otter.ai is a speech-to-text synthesis and summary platform, which allows users to record online meetings as text.

  4. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    The plain transformer architecture had difficulty converging. In the original paper [1] the authors recommended using learning rate warmup. That is, the learning rate should linearly scale up from 0 to maximal value for the first part of the training (usually recommended to be 2% of the total number of training steps), before decaying again.

  5. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    GNoME employs deep learning techniques to efficiently explore potential material structures, achieving a significant increase in the identification of stable inorganic crystal structures. The system's predictions were validated through autonomous robotic experiments, demonstrating a noteworthy success rate of 71%.

  6. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    2.2 Deep learning breakthroughs in the 1960s and 1970s. ... [65] [69] It was an example of a debate where an AI system, a recurrent neural network, ...

  7. Google DeepMind AI software makes a breakthrough in ... - AOL

    www.aol.com/finance/google-deepmind-ai-software...

    Symbolic AI was a popular approach to AI for decades before neural network-based deep learning took off began to show rapid progress in the mid-2000s. ... made it difficult to teach deep learning ...

  8. Foundation model - Wikipedia

    en.wikipedia.org/wiki/Foundation_model

    A foundation model, also known as large X model (LxM), is a machine learning or deep learning model that is trained on vast datasets so it can be applied across a wide range of use cases. [1] Generative AI applications like Large Language Models are often examples of foundation models. [1]

  9. Artificial general intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_general...

    An artificial superintelligence (ASI) is a hypothetical type of AGI that is much more generally intelligent than humans, [23] while the notion of transformative AI relates to AI having a large impact on society, for example, similar to the agricultural or industrial revolution.

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