Now showing items 49-51 of 65132

    • Advancing Ubiquitous Tactile Sensing through Comprehensive Tooling for Resistive Matrix-Based Sensors 

      Murphy, Devin (Massachusetts Institute of Technology, 2025-09)
      Resistive matrix-based tactile sensors offer a scalable and intuitive approach to capturing human-environment interactions, yet deploying them in real-world systems remains challenging because they must remain portable, ...
    • Topics in Geometric Machine Learning 

      Tahmasebi, Behrooz (Massachusetts Institute of Technology, 2025-09)
      Recent advances and the widespread adoption of neural networks have revolutionized machine learning and artificial intelligence. These developments demand learning paradigms capable of processing data from diverse applications ...
    • Quantization Methods for Matrix Multiplication and Efficient Transformers 

      Savkin, Semyon (Massachusetts Institute of Technology, 2025-09)
      We study quantization in Machine Learning. First, we introduce NestQuant — a technique for quantization of matrix products and post-training quantization of LLMs. Beyond reducing the memory footprint, quantization accelerates ...