MULTIMODAL AI
NVIDIA Nemotron 3 Nano Omni Launches on Together AI for Multimodal AI
Together AI integrates NVIDIA Nemotron 3 Nano Omni, a multimodal AI model, offering developers scalable, efficient reasoning across video, audio, and text.
NVIDIA Debuts Nemotron 3 Nano Omni, Boosting AI Efficiency 9x
NVIDIA's Nemotron 3 Nano Omni unifies vision, audio, and language for AI, achieving up to 9x efficiency gains. Available April 28, 2026.
NVIDIA Unveils 5-Part Blueprint for Enterprise-Grade Multimodal RAG Systems
NVIDIA's Enterprise RAG Blueprint delivers modular architecture for multimodal AI knowledge systems, targeting the $10.5B RAG tooling market projected by 2030.
NVIDIA Launches GPU-Accelerated Endpoints for Moonshot AI's Kimi K2.5 Model
NVIDIA now offers free GPU-accelerated API access to Kimi K2.5, a 1T parameter multimodal AI model with 384 experts and 262K context length for developers.
Character.AI Launches c.ai Labs for AI Entertainment Experiments
Character.AI unveils c.ai labs, a testing ground for experimental AI features including video generation, interactive comics, and AI-hosted podcasts.
NVIDIA Nemotron RAG Gets Production Pipeline Tutorial for Enterprise AI
NVIDIA releases step-by-step guide for building multimodal document processing pipelines with Nemotron RAG, targeting enterprise AI deployments requiring precise data extraction.
Ray's Disaggregated Hybrid Parallelism Boosts Multimodal AI Training by 30%
Ray's innovative disaggregated hybrid parallelism significantly enhances multimodal AI training efficiency, achieving up to 1.37x throughput improvement and overcoming memory challenges.
AI Exploitation: How Hackers Target Problem-Solving Instincts
Hackers exploit AI's problem-solving instincts, introducing new attack surfaces in multimodal reasoning models. Learn how these vulnerabilities are targeted and potential defenses.
NVIDIA NIM Enhances Visual AI Agents with Advanced Multimodal Capabilities
NVIDIA NIM microservices enable the creation of intelligent visual AI agents, offering real-time decision-making and automation through vision-language models and computer vision advancements.
Exploring AGI Hallucination: A Comprehensive Survey of Challenges and Mitigation Strategies
A new survey delves into the phenomenon of AGI hallucination, categorizing its types, causes, and current mitigation approaches while discussing future research directions.
Understanding Generative AI and Future Directions with Google Gemini and OpenAI Q-Star
A critical examination of the latest AI innovations, Gemini and Q-Star, reveals a transformative journey in generative AI, from MoE architectures to advanced multimodal systems, paving the way for a new era in artificial intelligence.
Yann LeCun Discusses AI Progress and Quantum Computing at FAIR's 10th Anniversary
Yann LeCun of Meta AI discussed the future of AI, highlighting Nvidia's hardware dominance, skepticism about human-level AI and quantum computing, and Meta's focus on multimodal AI systems.