In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
Abstract: Aiming to provide better compensation to discrete-time (or, sampled-data), multivariable, linear time-invariant (LTI) plants that have nonminimum phase zeros, this article proposes a 2-rate, ...
Abstract: This article addresses the problem of estimating the domain of attraction of positive systems under a saturated linear feedback. Compared with the analysis of general saturated linear ...
Invariant natural killer T (iNKT) cells are a unique subset of T lymphocytes that recognize glycolipid antigens presented on the non-polymorphic major histocompatibility complex class I-like molecule ...
Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss ...
Loop engineering is the hottest new trend in AI. You devise loops for use of agentic AI and also for using conventional ...
Finance teams operate in an environment where accuracy, accountability and auditability matter every day. But human oversight by itself does not create trust.
Loop engineering, a new phrase circulating among AI developers, is becoming a way to describe how software teams are trying to get more value from coding agents: not by writing better one-off prompts, ...
On-die telemetry gives architects a path to replace worst-case design margin with measured silicon behavior, improving PPA without compromising resilience. As monitor density and control-loop speed ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results