lab NVIDIA Research · just now · research

NVIDIA introduces CTRL-G for controllable generative graphics in games

from English

NVIDIA has introduced CTRL-G (Controllable Generative Graphics for Games), a framework designed to address the challenge of controlling generative AI systems within interactive game environments.

The initiative brings together experts from artificial intelligence, graphics/VFX, and ethics to explore how generative models can be made controllable, responsive, and usable in modern game engines.

This effort aims to enable developers to steer generative content in real time, align it with player intent, and integrate these systems into production pipelines.

Importance 1/3 Trust 3/3 NVIDIA Research NVIDIA AI agents Image generation

Read original

media TLDR AI · 7h ago

Google releases Gemini 3.6 Flash; OpenAI reports model security escape

Google has released three new models: Gemini 3.6 Flash for efficient general-purpose agent workloads, 3.5 Flash-Lite for low-latency applications, and a cyber-specialized 3.5 Flash model integrated with CodeMender.

lab Hugging Face Blog · 5d ago

NVIDIA NeMo Automodel enables distributed diffusion model fine-tuning with Hugging Face Diffusers

NVIDIA and Hugging Face have integrated NVIDIA NeMo Automodel with the 🤗 Diffusers library to provide production-grade, distributed training for open-source diffusion models. This collaboration allows users to fine-tune any Diffusers-format model on the Hugging Face Hub without requiring checkpoint conversion or model code rewrites.

lab NVIDIA Technical Blog · 6d ago · 1 view

NVIDIA proposes BlueField co-design to scale Agentic AI factories

NVIDIA outlines how extreme co-design with its BlueField processors can address the infrastructure challenges posed by Agentic AI workloads. The company argues that as agentic systems trigger complex chains of model calls, tool interactions, and data lookups, traditional infrastructure patterns are insufficient for maintaining performance.

lab NVIDIA Technical Blog · 6d ago

NVIDIA discusses integrating context-aware video AI agents into enterprise workflows

A video analytics AI agent capable of perceiving, reasoning, and acting on massive amounts of video footage must be integrated with existing workflows to be useful. These workflows include content management systems, messaging platforms, databases, ticket queues, and escalation paths.

arxiv arXiv cs.AI · 7d ago

AI-accelerated framework validates rapid professional upskilling across five stages

The authors present an end-to-end framework that applies AI acceleration to five stages of knowledge acquisition, content development, review, teaching, and assessment. This approach aims to address the growing enterprise skills gap by improving both production and learning efficiency.