Formally verified AES-XTS: The first AES algorithm to join s2n-bignum
Simplifying and clarifying the assembly code for core operations enabled automated optimization and verification.
Simplifying and clarifying the assembly code for core operations enabled automated optimization and verification.
Ablation study clarifies trade-offs between accuracy and efficiency when using low-rank adaptation (LoRA) to fine-tune AI models.
By learning the idiosyncrasies of accumulated layers of legacy systems, AI agents can preserve institutional knowledge and provide a unified interface to a range of services.
As AI agents become more autonomous, the key challenge isn't what they can do; it's how to design the human side of the equation.