Former Cohere exec Sara Hooker has raised $50 million for her AI startup Adaption Labs—a bet on smaller, smarter models

Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...
GitHub

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction

In autonomous driving, understanding the 3D world over time is critical. Yet, most vision-based 3D Occupancy (VisionOcc) methods only scratch the surface of temporal fusion, focusing on simple ...
IEEE

Enhancing ACPF Analysis: Integrating Newton-Raphson Method With Gradient Descent and Computational Graphs

Abstract: This paper presents a new method for enhancing Alternating Current Power Flow (ACPF) analysis. The method integrates the Newton-Raphson (NR) method with Enhanced-Gradient Descent (GD) and ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Frontiers

Application of the ANN with swarm optimization algorithm in layer property backcalculation for asphalt pavement

State-of-the-art techniques for pavement performance evaluation have attracted considerable attention in recent years. Artificial Neural Networks (ANNs) can simulate the human brain to discover hidden ...
IEEE

Suppression of Periodic Speed Fluctuations for PMSM Using Improved Gradient Descent Algorithm

Abstract: An AC disturbance suppression method for permanent magnet synchronous motor (PMSM) drives is proposed on the basis of a mathematical optimization algorithm. First, the AC disturbances of the ...