IEEE8d
On the Convergence of Decentralized Stochastic Gradient Descent With Biased Gradients
To address this issue, we perform a comprehensive convergence rate analysis of stochastic gradient descent (SGD) with biased gradients for decentralized optimization. In non-convex settings, we show ...
the-decoder27d
New Tencent AI model Hunyuan3D 2.0 turns 2D images into detailed 3D objects
Tencent has released version 2.0 of Hunyuan3D, an open-source generative AI system that creates textured 3D models from regular images. The system splits the work between two specialized components: ...
IEEE27d
QGD-OE: IMU Orientation Estimation Based on Gradient Descent in the Quaternion Field
Quaternion numbers are frequently employed by estimation algorithms to represent orientation in 3-D space. In recent years, gradient descent-based algorithms have been extensively utilized for ...
Semiconductor Engineering29d
Analog Accelerator For AI/ML Training Workloads Using Stochastic Gradient Descent (Imperial College London)
A new technical paper titled “Learning in Log-Domain: Subthreshold Analog AI Accelerator Based on Stochastic Gradient Descent” was published by researchers at Imperial College London. “The rapid ...