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

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In Graphic Detail: How creators use generative AI to shape videos...

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DeepMind

The Download: Google DeepMind AI agent and Montana’s experimental treatments

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DeepMind

Google DeepMind’s new AI agent solves real-world issues better than humans

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DeepMind

5 impressive feats by DeepMind’s self-evolving AI code agent

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DeepMind

Google DeepMind creates super advanced AI that can invent algorithms

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OpenAI adds GPT 4.1 to ChatGPT amid complaints about confusing model...

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Move over, Copilot! ChatGPT now has the ability to analyze OneDrive...

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PwC Releases Executive Guide on Agentic AI: A Strategic Blueprint for...

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Rethinking Toxic Data in LLM Pretraining: A Co-Design Approach for Improved...

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This AI Paper Investigates Test-Time Scaling of English-Centric RLMs for Enhanced...

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

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

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

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

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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...