GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
VentureBeat

The AI visualization tech stack: From 2D to holograms

The pace of AI continues to be staggering. From simple pattern recognition systems to large language models (LLMs), and now as we move into the physical AI reality, the power of these systems ...
Hosted on MSN

Deep learning optimization: Major optimizers simplified

In this video, we will understand all major Optimization in Deep Learning. We will see what is Optimization in Deep Learning and why do we need them in the first place. Optimization in Deep Learning ...
Frontiers

Research on intelligent fracturing parameter optimization method based on deep learning and construction curve feature extraction

Introduction: Optimizing fracturing parameters under multi-factor, complex conditions remains challenging in low-permeability reservoirs. Methods: We extract stage-aware construction-curve features, ...
Frontiers

Deep learning in intracranial EEG for seizure detection: advances, challenges, and clinical applications

Deep learning has emerged as a transformative tool for the automated detection and classification of seizure events from intracranial EEG (iEEG) recordings. In this review, we synthesize recent ...
IEEE

Hierarchical Deep Reinforcement Learning for Multi-Objective Integrated Circuit Physical Layout Optimization With Congestion-Aware Reward Shaping

Abstract: Physical layout optimization in integrated circuit (IC) design remains a critical challenge as semiconductor technology scales toward advanced nodes, where traditional electronic design ...