impl.Register("aes", "POWER8", &supportsAES) } } // checkGenericIsExpect is called by the variable-time implementation to make // sure it is not used when hardware support is available. It shouldn't happen, // but this way it's more evidently correct. func checkGenericIsExpect() { if supportsAES { panic("crypto/aes: internal error: using generic implementation despite hardware support") } } type block struct { blockExpanded } func newBlock(c *Block, key []byte) *Block { switch len(key) { case aes128KeySize: c.rounds...

impl.Register("aes", "POWER8", &supportsAES) } } // checkGenericIsExpect is called by the variable-time implementation to make // sure it is not used when hardware support is available. It shouldn't happen, // but this way it's more evidently correct. func checkGenericIsExpect() { if supportsAES { panic("crypto/aes: internal error: using generic implementation despite hardware support") } } type block struct { blockExpanded } func newBlock(c *Block, key []byte) *Block { switch len(key) { case aes128KeySize: c.rounds...

* `tf.lite`
    * LiteRT announced a [new release](https://developers.googleblog.com/en/litert-maximum-performance-simplified/) at Google IO ‘25 that improves upon TFLite, particularly in terms of NPU and GPU hardware acceleration and performance for on-device ML and AI applications. The APIs are available in Kotlin and C++.