AZoQuantum

Accelerating Quantum Algorithm Development with Intelligent Orchestration

Qoro Quantum's unified software stack optimizes quantum algorithms, addressing integration challenges and accelerating the ...

Industrial AI's Real Bottleneck Isn't the Algorithm

Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model ...
IEEE

Adaptive Federated Learning-Based Distributed Resilient Control for Hybrid AC/DC Microgrids

Abstract: Deep learning techniques have been widely adopted in resilient control for distributed microgrid (MG). However, in practical implementations, due to data privacy concerns and limited ...
Deep Learning with Yacine on MSN

Distributed RL training for LLM explained part 1

An introduction to distributed reinforcement learning for large language models covering core concepts, training setup, and ...
IEEE

Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
Semiconductor Engineering

Rethinking Robotics Reinforcement Learning: A Practical Humanoid Training Workflow

A complete pipeline that can run on a single workstation to train a humanoid robot to walk over rough terrain.

Machine learning tracks methane emissions from orbit

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...