Woodside Capital Partners (WCP) is pleased to share its XR Tech Market Report, authored by senior bankers Alain Bismuth and Rudy Burger, and by analyst Alex Bonilla. Why we are interested in the XR Ecosystem Investors have been pouring billions of dollars into developing enabling technologies for augmented reality (AR) glasses aimed at the consumer market, […]
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The Disaggregation of the Monolith: A New Paradigm Forged by AI’s Demands The semiconductor industry is navigating its most significant architectural shift in decades, a transition compelled by the relentless demands of Generative AI. The monolithic System-on-Chip (SoC), the reigning paradigm for half a century, is fracturing under the weight of exponentially growing AI models
This blog post was originally published at Geisel Software’s Symage website. It is reprinted here with the permission of Geisel Software. Imagine you’re tasked with boosting data quality for your AI model. You’re at a crossroads, faced with two distinct paths for generating synthetic image data. On one side, there’s Generative AI—fast, adaptable, and capable
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Haran Thanigasalam, Camera and Imaging Systems Consultant for the MIPI Alliance, presents the “Introduction to the MIPI CSI-2 Image Sensor Standard and Its Latest Advances” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Thanigasalam provides an overview of the MIPI CSI-2 image sensor interface standard, covering its… “An Introduction to the MIPI
AI data centers and cloud computing are demanding strong investment from countries all over the world. The word “Sovereign AI” has become popular with countries building out their own AI infrastructure, and AI data centers are now even being called “AI Factories.” With the rising prevalence of these data centers, the accelerated computing chips needed
Scaling the Silicon: Why GPUs are Leading the AI Data Center Boom Read More +
This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. The AI landscape is undergoing a monumental shift. After a decade where AI flourished in the cloud, scaled by hyperscalers, we are now entering the era of Physical AI. Physical AI is poised to touch every facet
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This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. At Qualcomm Technologies, we’ve long believed that AI assistants will be ubiquitous, personal and on-device. Today, we’re excited to share a major milestone in that journey: OpenAI has open-sourced its first reasoning model, gpt-oss-20b, a chain-of-thought reasoning
Omid Azizi, Co-Founder of Gimlet Labs, presents the “Visual Search: Fine-grained Recognition with Embedding Models for the Edge” tutorial at the May 2025 Embedded Vision Summit. In the domain of AI vision, we have seen an explosion of models that can reliably detect objects of various types, from people to… “Visual Search: Fine-grained Recognition with
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Smart traffic systems leverage embedded camera solutions to help manage roadways, record violations, and detect traffic anomalies. Get expert insights on how cameras work in these systems, their top use cases applications, and key imaging
How High-resolution Cameras Are Transforming Traffic Enforcement and Monitoring Read More +
Naitik Nakrani, Solution Architect Manager at eInfochips, presents the “Optimizing Real-time SLAM Performance for Autonomous Robots with GPU Acceleration” tutorial at the May 2025 Embedded Vision Summit. Optimizing execution time of long-term and large-scale SLAM algorithms is essential for real-time deployments on edge compute platforms. Faster SLAM output means faster… “Optimizing Real-time SLAM Performance for
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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