The New Frontier Of LLM Inference: Where The Next Tenfold Gains Will Come From

This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...
Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
IEEE

Decentralized Algorithm for Cell-PSC Detection on Cooperative Neighboring PV Panels Based on Real-Time Voltage Measurements

Abstract: This article addresses the current limitations in fault detection and diagnosis (FDD) for photovoltaic (PV) systems, which often overlook partial-shading conditions (PSCs) at the individual ...
IEEE

Low Complexity Adaptive Beamforming using Data Covariance Matrix for Ultrasound Plane Wave Imaging

Abstract: A low complexity adaptive beamformer is suggested for medical ultrasound plane wave Imaging. It represents a framework whose principle is based on the eigendecomposition (ED) of the data ...
marktechpost

DeepSeek Researchers Apply a 1967 Matrix Normalization Algorithm to Fix Instability in Hyper Connections

DeepSeek researchers are trying to solve a precise issue in large language model training. Residual connections made very deep networks trainable, hyper connections widened that residual stream, and ...