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

Energy Efficient Low-Complexity RIS-Aided 3-D DoA Estimation and Target Tracking Algorithm via Matrix Completion

Abstract: In this paper, we propose an algorithm for fast direction-of-arrival (DoA) tracking in reconfigurable intelligent surface aided systems. We reduce the total power consumption by reducing the ...
IEEE

Sparse Matrix Factorization Algorithm for Real-Time Movie Recommendation Systems

Abstract: Real-time movie recommendation systems must efficiently handle large amounts of sparse user-item interaction data while maintaining great prediction accuracy. Conventional collaborative ...