News

Nvidia plans to build a China R&D centre as export limits...

AI Observer
News

How Meta’s latest research shows you can use generative AI for...

AI Observer
News

Fast-learning robots : 10 Breakthrough Technologies by 2025

AI Observer
News

Price range and thickness of the Samsung Galaxy S25 Slim

AI Observer
News

Watch the NVIDIA CES 2025 press conference live: Monday, 9:30PM ET

AI Observer
News

Key Nvidia Partner unveils a tiny Mini PC build for AI...

AI Observer
News

How to map OpenAI ChatGPT Advanced voice mode to your iPhone...

AI Observer
News

The year of AI: how ChatGPT, Gemini and Apple Intelligence have...

AI Observer
News

Strava closes the gates to sharing fitness data with other apps

AI Observer
News

Tessl raises $125M with a valuation of $500M+ to build AI...

AI Observer
News

Apple warns investors that its new products may not be as...

AI Observer

Featured

Education

DanceGRPO: A Unified Framework for Reinforcement Learning in Visual Generation Across...

AI Observer
News

Meet LangGraph Multi-Agent Swarm: A Python Library for Creating Swarm-Style Multi-Agent...

AI Observer
News

AI Agents Now Write Code in Parallel: OpenAI Introduces Codex, a...

AI Observer
News

Salesforce AI Releases BLIP3-o: A Fully Open-Source Unified Multimodal Model Built...

AI Observer
AI Observer

DanceGRPO: A Unified Framework for Reinforcement Learning in Visual Generation Across...

Recent advances in generative models, especially diffusion models and rectified flows, have revolutionized visual content creation with enhanced output quality and versatility. Human feedback integration during training is essential for aligning outputs with human preferences and aesthetic standards. Current approaches like ReFL methods depend on differentiable reward models that...