Microsoft

From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models

Serving large generative models such as LLMs and multi-modal transformers requires balancing user-facing SLOs (e.g., time-to-first-token, time-between-tokens) with provider goals of efficiency and ...
IEEE

A Space Mapping Augmented Compact Model for Uncertainty Quantification of GaN HEMT Devices and Circuits in the Presence of Trap Effects

Abstract: In this article, an artificial neural network (ANN) augmented compact model is developed for the fast uncertainty quantification (UQ) of GaN high electron mobility transistors (HEMTs). The ...
IEEE

Combination Manner of Sampling Method and Model Structure: The Key Factor for Rice Mapping Based on Sentinel-1 Images Using Data-Driven Machine Learning

Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...
Phys.org

Sea level doesn't rise at the same rate everywhere: Mapping where Antarctica's ice melt would have the biggest impact

When polar ice sheets melt, the effects ripple across the world. The melting ice raises average global sea level, alters ocean currents and affects temperatures in places far from the poles. But ...
Phys.org

Mapping the future: AI deciphers alloy microstructures to enhance properties prediction and design

In a world of 8 billion people, there's one thing that makes each of us unique: our fingerprints. A variety of genetic and environmental factors create tiny variations in the skin's ridges and whorls, ...