Abstract: A computing device collects a plurality of data samples. Each data sample represents a signal activity of a plurality of signals of the chip. The computing device selects a subset of signals from the plurality of signals as proxies. These proxies are correlated with an actual power consumption of the chip according to a criterion. The computing device trains the power model using signal activities of the plurality of signals as inputs and the actual power consumption as an output. The computing device fine-tunes coefficients of the proxies in the power model. This fine-tuning adjusts an estimation error between an estimated power consumption output by the power model and the actual power consumption.

Abstract: An improved microparticle or lyophilized or otherwise reconstitutable microparticle composition thereof for medical therapy, including ocular therapy.

Abstract: An improved microparticle or lyophilized or otherwise reconstitutable microparticle composition thereof for medical therapy, including ocular therapy.

Abstract: An improved microparticle or lyophilized or otherwise reconstitutable microparticle composition thereof for medical therapy, including ocular therapy.

Abstract: Compositions and methods are provided that include aggregating microparticles which include an active agent that exhibit an increased hardness and/or durability of the resulting aggregated microparticles in vivo, which can lead to more stable, long-term ocular therapy.

Abstract: An improved microparticle or lyophilized or otherwise reconstitutable microparticle composition thereof for medical therapy, including ocular therapy.

Abstract: An improved microparticle or lyophilized or otherwise reconstitutable microparticle composition thereof for medical therapy, including ocular therapy.