Multimodal

Mission NIMpossible: Decoding the Microservices That Accelerate Generative AI

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This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Run generative AI NVIDIA NIM microservices locally on NVIDIA RTX AI workstations and NVIDIA GeForce RTX systems. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible […]

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BrainChip Demonstration of the Power of Temporal Event-based Neural Networks (TENNs)

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Todd Vierra, Vice President of Customer Engagement at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Vierra demonstrates the efficient processing of generative text using Temporal Event-based Neural Networks (TENNs) compared to ChatGPT. The TENN, an innovative, light-weight neural network architecture, combines convolution in

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AI Developer Workflows, Simplified: Empowering Developers with the Qualcomm AI Hub

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This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. With over 100 pre-optimized AI and generative AI models, the Qualcomm AI Hub is a developer’s gateway to superior on-device AI performance Generative AI has been evolving to run on device, in addition to the cloud. It

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AMD to Acquire Silo AI to Expand Enterprise AI Solutions Globally

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Europe’s largest private AI lab to accelerate the development and deployment of AMD-powered AI models and software solutions Enhances open-source AI software capabilities for efficient training and inference on AMD compute platforms SANTA CLARA, Calif. — July 10, 2024 — AMD (NASDAQ: AMD) today announced the signing of a definitive agreement to acquire Silo AI,

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Decoding How the Generative AI Revolution BeGAN

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This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA Research’s GauGAN demo set the scene for a new wave of generative AI apps supercharging creative workflows. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more

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“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Useful Sensors

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Pete Warden, CEO of Useful Sensors, presents the “Deploying Large Language Models on a Raspberry Pi,” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Warden outlines the key steps required to implement a large language model (LLM) on a Raspberry Pi. He begins by outlining the motivations… “Deploying Large Language Models on

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The Next Frontier in Education: How Generative AI and XR will Evolve the World of Learning in the Next Decade

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This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. (Ai)Daptive XR empowers students through real-time personalization and collaborative learning Envisioning the future of education, and the art of learning overall, is nothing new. Over 120 years ago, French artist Jean-Marc Côté suggested how learning may look

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“Transforming Enterprise Intelligence: The Power of Computer Vision and Gen AI at the Edge with OpenVINO,” a Presentation from Intel

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Leila Sabeti, Americas AI Technical Sales Lead at Intel, presents the “Transforming Enterprise Intelligence: The Power of Computer Vision and Gen AI at the Edge with OpenVINO” tutorial at the May 2024 Embedded Vision Summit. In this talk, Sabeti focuses on the transformative impact of AI at the edge, highlighting the role of the OpenVINO

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Axelera AI Raises $68 Million Series B Funding to Accelerate Next-generation Artificial Intelligence

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News Highlights: Powering Global Innovation: Mass adoption of Axelera AI’s Metis™ AI Processing Unit (AIPU), the world’s most powerful AIPU for edge devices, drives next-gen AI inference solutions for computer vision and generative AI. Accelerating Market Expansion: Europe’s largest, oversubscribed Series B funding in fabless semiconductors propels Axelera AI into new markets, including automotive and

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“Challenges and Solutions of Moving Vision LLMs to the Edge,” a Presentation from Expedera

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Costas Calamvokis, Distinguished Engineer at Expedera, presents the “Challenges and Solutions of Moving Vision LLMs to the Edge” tutorial at the May 2024 Embedded Vision Summit. OEMs, brands and cloud providers want to move LLMs to the edge, especially for vision applications. What are the benefits and challenges of doing so? In this talk, Calamvokis

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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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