Multimodal

How AI On the Edge Fuels the 7 Biggest Consumer Tech Trends of 2025

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. From more on-device AI features on your phone to the future of cars, 2025 is shaping up to be a big year Over the last two years, generative AI (GenAI) has shaken up, well, everything. Heading into […]

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NVIDIA Expands Omniverse With Generative Physical AI

New Models, Including Cosmos World Foundation Models, and Omniverse Mega Factory and Robotic Digital Twin Blueprint Lay the Foundation for Industrial AI Leading Developers Accenture, Altair, Ansys, Cadence, Microsoft and Siemens Among First to Adopt Platform Libraries January 6, 2025 — CES — NVIDIA today announced generative AI models and blueprints that expand NVIDIA Omniverse™

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NVIDIA Launches Cosmos World Foundation Model Platform to Accelerate Physical AI Development

New State-of-the-Art Models, Video Tokenizers and an Accelerated Data Processing Pipeline, Optimized for NVIDIA Data Center GPUs, Are Purpose-Built for Developing Robots and Autonomous Vehicles First Wave of Open Models Available Now to Developer Community Global Physical AI Leaders 1X, Agile Robots, Agility, Figure AI, Foretellix, Uber, Waabi and XPENG Among First to Adopt January 6, 2025 —

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NVIDIA Launches AI Foundation Models for RTX AI PCs

NVIDIA NIM Microservices and AI Blueprints Help Developers and Enthusiasts Build AI Agents and Creative Workflows on PC January 6, 2025 — CES — NVIDIA today announced foundation models running locally on NVIDIA RTX™ AI PCs that supercharge digital humans, content creation, productivity and development. These models — offered as NVIDIA NIM™ microservices — are accelerated by

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Optimizing Multimodal AI Inference

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Multimodal models are becoming essential for AI, enabling the integration of diverse data types into a single model for richer insights. During the second Intel® Liftoff Days 2024 hackathon, Rahul Nair’s workshop on Inference of Multimodal Models

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Qualcomm Launches On-prem AI Appliance Solution and Inference Suite to Step-up AI Inference Privacy, Flexibility and Cost Savings Across Enterprise and Industrial Verticals

Highlights: Qualcomm AI On-Prem Appliance Solution is designed for generative AI inference and computer vision workloads on dedicated on-premises hardware – allowing sensitive customer data, fine-tuned models, and inference loads to remain on premises. Qualcomm AI Inference Suite provides ready-to-use AI applications and agents, tools and libraries for operationalizing AI from computer vision to generative

Qualcomm Launches On-prem AI Appliance Solution and Inference Suite to Step-up AI Inference Privacy, Flexibility and Cost Savings Across Enterprise and Industrial Verticals Read More +

Why Generative AI is the Catalyst That Mixed Reality Needs

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. From content creation to digital avatars, generative AI is the critical ingredient for building immersive worlds in mixed reality The promise of mixed reality fundamentally changing the way we interact and live our lives has always been

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From Generative to Agentic AI, Wrapping the Year’s AI Advancements

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and NVIDIA RTX workstation users.

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Qualcomm CEO Cristiano Amon at Web Summit: GenAI is the New UI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How generative AI (GenAI)-powered “agents” will change the way you interact with the digital world The rise of artificial intelligence (AI) opens the door to a vast array of possibilities. AI-powered agents will be the key to

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An Easy Introduction to Multimodal Retrieval-augmented Generation for Video and Audio

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Building a multimodal retrieval augmented generation (RAG) system is challenging. The difficulty comes from capturing and indexing information from across multiple modalities, including text, images, tables, audio, video, and more. In our previous post, An Easy Introduction

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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