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

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 ...
IEEE

Change Point Detection For FOGs Scale Factor Test Data Using Pruned Exact Linear Time (PELT) Algorithm

Abstract: With the increasing demand for batch testing of fiber optic gyroscopes (FOGs) scale factor, accurate and low-complexity change point detection methods are essential for identifying state ...