AZoAI on MSN1y
Understanding Gradient Descent in Machine Learning
Gradient descent (GD) is a basic optimization technique often used in computational mathematics and machine learning (ML). It ...
Hosted on MSN2mon
Gradient Descent Approach to Optimizing AlphaFold2 Protein Predictions
Machine learning is being used more and more ... the precise structure prediction of Alphafold2 with a so-called gradient descent approach for effective protein design. The study was published ...
Semiconductor Engineering12d
Analog Accelerator For AI/ML Training Workloads Using Stochastic Gradient Descent (Imperial College London)
Subthreshold Analog AI Accelerator Based on Stochastic Gradient Descent” was published by researchers at Imperial College London. Abstract “The rapid proliferation of AI models, coupled with growing ...
Harvard Business School3y
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
Neel, Seth, Aaron Leon Roth, and Saeed Sharifi-Malvajerdi. "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning." Paper presented at the 32nd Algorithmic Learning Theory Conference, March ...