quantum-resistant key encapsulation method // ML-KEM (formerly known as Kyber), as specified in [NIST FIPS 203]. // // [NIST FIPS 203]: https://doi.org/10.6028/NIST.FIPS.203 package mlkem // This package targets security, correctness, simplicity, readability, and // reviewability as its primary goals. All critical operations are performed in // constant time. // // Variable and function names, as well as code layout, are selected to // facilitate reviewing the implementation against the NIST FIPS 203...

    NVIDIA Ampere based GPUs and is enabled by default.

*   A major refactoring of the internals of the Keras Functional API has been
    completed, that should improve the reliability, stability, and performance
    of constructing Functional models.

*   Keras mixed precision API
    [`tf.keras.mixed_precision`](https://www.tensorflow.org/api_docs/python/tf/keras/mixed_precision?version=nightly)

quantum-resistant key encapsulation method // ML-KEM (formerly known as Kyber), as specified in [NIST FIPS 203]. // // [NIST FIPS 203]: https://doi.org/10.6028/NIST.FIPS.203 package mlkem // This package targets security, correctness, simplicity, readability, and // reviewability as its primary goals. All critical operations are performed in // constant time. // // Variable and function names, as well as code layout, are selected to // facilitate reviewing the implementation against the NIST FIPS 203...