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  2. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    A popular upgrade to this architecture attaches a generative adversarial network to the decoder. A GAN trains a generator, in this case the decoder, and a discriminator in an adversarial relationship. The generator creates new images from the latent representation of the source material, while the discriminator attempts to determine whether or ...

  3. Neural decoding - Wikipedia

    en.wikipedia.org/wiki/Neural_decoding

    Neural decoding is a neuroscience field concerned with the hypothetical reconstruction of sensory and other stimuli from information that has already been encoded and represented in the brain by networks of neurons. [1] Reconstruction refers to the ability of the researcher to predict what sensory stimuli the subject is receiving based purely ...

  4. Decompression illness - Wikipedia

    en.wikipedia.org/wiki/Decompression_illness

    Decompression Illness ( DCI) comprises two different conditions caused by rapid decompression of the body. These conditions present similar symptoms and require the same initial first aid. Scuba divers are trained to ascend slowly from depth to avoid DCI. Although the incidence is relatively rare, the consequences can be serious and potentially ...

  5. List of unsolved problems in physics - Wikipedia

    en.wikipedia.org/wiki/List_of_unsolved_problems...

    Some of the major unsolved problems in physics are theoretical, meaning that existing theories seem incapable of explaining a certain observed phenomenon or experimental result. The others are experimental, meaning that there is a difficulty in creating an experiment to test a proposed theory or investigate a phenomenon in greater detail.

  6. Neurophysics - Wikipedia

    en.wikipedia.org/wiki/Neurophysics

    Neurophysics (or neurobiophysics) is the branch of biophysics dealing with the development and use of physical methods to gain information about the nervous system. Neurophysics is an interdisciplinary science using physics and combining it with other neurosciences to better understand neural processes. The methods used include the techniques ...

  7. Seq2seq - Wikipedia

    en.wikipedia.org/wiki/Seq2seq

    Seq2seq. Seq2seq is a family of machine learning approaches used for natural language processing. [1] Applications include language translation, image captioning, conversational models, and text summarization. [2] Seq2seq uses sequence transformation: it turns one sequence into another sequence.

  8. Quantum error correction - Wikipedia

    en.wikipedia.org/wiki/Quantum_error_correction

    In this example, the logical information is a single bit in the one state and the physical information are the three duplicate bits. Creating a physical state that represents the logical state is called encoding and determining which logical state is encoded in the physical state is called decoding .

  9. Low-density parity-check code - Wikipedia

    en.wikipedia.org/wiki/Low-density_parity-check_code

    For large block sizes, LDPC codes are commonly constructed by first studying the behaviour of decoders. As the block size tends to infinity, LDPC decoders can be shown to have a noise threshold below which decoding is reliably achieved, and above which decoding is not achieved, colloquially referred to as the cliff effect. This threshold can be ...