Multimodal

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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“Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics,” a Presentation from Sportlogiq

Mehrsan Javan, Chief Technology Officer at Sportlogiq, presents the “Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics” tutorial at the May 2024 Embedded Vision Summit. At a high level, sport analytics systems can be broken into two components: sensory data collection and analytical models that turn sensory… “Using Vision Systems, Generative Models

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Exploring the Next Frontier of AI: Multimodal Systems and Real-time Interaction

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Discover the state of the art in large multimodal models with Qualcomm AI Research In the realm of artificial intelligence (AI), the integration of senses — seeing, hearing and interacting — represents a frontier that is rapidly

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Smart Glasses for the Consumer Market

There are currently about 250 companies in the head mounted wearables category and these companies in aggregate have received over $5B in funding. $700M has been invested in this category just since the beginning of the year. On the M&A front, there have already been a number of significant acquisitions in the space, notably the

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“Data-efficient and Generalizable: The Domain-specific Small Vision Model Revolution,” a Presentation from Pixel Scientia Labs

Heather Couture, Founder and Computer Vision Consultant at Pixel Scientia Labs, presents the “Data-efficient and Generalizable: The Domain-specific Small Vision Model Revolution” tutorial at the May 2024 Embedded Vision Summit. Large vision models (LVMs) trained on a large and diverse set of imagery are revitalizing computer vision, just as LLMs… “Data-efficient and Generalizable: The Domain-specific

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Accelerating LLMs with llama.cpp on NVIDIA RTX Systems

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The NVIDIA RTX AI for Windows PCs platform offers a thriving ecosystem of thousands of open-source models for application developers to leverage and integrate into Windows applications. Notably, llama.cpp is one popular tool, with over 65K GitHub

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