Causal Inference for AMS Design (U. of Florida)


A new technical paper, "Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis," was published by the University of Florida. Abstract "Analog-mixed-signal (AMS) circuits are highly non-linear and operate on continuous real-world signals, making them far more difficult to model with data-driven AI than digital blocks. To close the gap between structured design data (dev... » read more

The Week In Review: Design


IP Cryptographic flaws have been discovered in the IEEE P1735 standard for encrypting IP and managing access rights. A team from the University of Florida found "a surprising number of cryptographic mistakes in the standard. In the most egregious cases, these mistakes enable attack vectors that allow us to recover the entire underlying plaintext IP." The researchers warn that an adversary coul... » read more