Multimodal

“Using Computer Vision-powered Robots to Improve Retail Operations,” a Presentation from Simbe Robotics

Durgesh Tiwari, VP of Hardware Systems, R&D at Simbe Robotics, presents the “Using Computer Vision-powered Robots to Improve Retail Operations” tutorial at the December 2024 Edge AI and Vision Innovation Forum. In this presentation, you’ll learn how Simbe Robotics’ AI- and CV-enabled robot, Tally, provides store operators with real-time intelligence to improve inventory management, streamline […]

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Amid the Rise of LLMs, is Computer Vision Dead?

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. The field of computer vision has seen incredible progress, but some believe there are signs it is stalling. At the International Conference on Computer Vision 2023 workshop “Quo Vadis, Computer Vision?”, researchers discussed what’s next for computer

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“Vision Language Models for Regulatory Compliance, Quality Control and Safety Applications,” a Presentation from Camio

Carter Maslan, CEO of Camio, presents the “Vision Language Models for Regulatory Compliance, Quality Control and Safety Applications” tutorial at the December 2024 Edge AI and Vision Innovation Forum. In this presentation, you’ll learn how vision language models interpret policy text to enable much more sophisticated understanding of scenes and human behavior compared with current-generation

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Snapdragon Summit’s AI Highlights: A Look at the Future of On-device AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm Technologies sets new standards in AI performance for its latest mobile, automotive and Qualcomm AI Hub advancements Our annual Snapdragon Summit wrapped up with exciting new announcements centered on the future of on-device artificial intelligence (AI).

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How to Accelerate Larger LLMs Locally on RTX With LM Studio

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. GPU offloading makes massive models accessible on local RTX AI PCs and workstations. 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,

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Introducing the First AMD 1B Language Models: AMD OLMo

This blog post was originally published at AMD’s website. It is reprinted here with the permission of AMD. In recent years, the rapid development of artificial intelligence technology, especially the progress in large language models (LLMs), has garnered significant attention and discussion. From the emergence of ChatGPT to subsequent models like GPT-4 and Llama, these

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Give AI a Look: Any Industry Can Now Search and Summarize Vast Volumes of Visual Data

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Accenture, Dell Technologies and Lenovo are among the companies tapping a new NVIDIA AI Blueprint to develop visual AI agents that can boost productivity, optimize processes and create safer spaces. Enterprises and public sector organizations around the

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“How Large Language Models Are Impacting Computer Vision,” a Presentation from Voxel51

Jacob Marks, Senior ML Engineer and Researcher at Voxel51, presents the “How Large Language Models Are Impacting Computer Vision” tutorial at the May 2024 Embedded Vision Summit. Large language models (LLMs) are revolutionizing the way we interact with computers and the world around us. However, in order to truly understand… “How Large Language Models Are

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Qualcomm and Mistral AI Partner to Bring New Generative AI Models to Edge Devices

Highlights: Qualcomm announces collaboration with Mistral AI to bring Mistral AI’s models to devices powered by Snapdragon and Qualcomm platforms. Mistral AI’s new state-of-the-art models, Ministral 3B and Ministral 8B, are being optimized to run on devices powered by the new Snapdragon 8 Elite Mobile Platform, Snapdragon Cockpit Elite and Snapdragon Ride Elite, and Snapdragon

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Qualcomm Announces Multi-year Strategic Collaboration with Google to Deliver Generative AI Digital Cockpit Solutions

Highlights: Qualcomm and Google will leverage Snapdragon Digital Chassis and Google’s in-vehicle technologies to produce a standardized reference framework for development of generative AI-enabled digital cockpits and software-defined vehicles (SDV). Qualcomm to lead go-to-market efforts for scaling and customization of joint solution with the broader automotive ecosystem. Companies’ collaboration demonstrates power of co-innovation, empowering automakers

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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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