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Automotive

Qualcomm Drives the Future of Mobility with Strong Snapdragon Digital Chassis Momentum and Agentic AI for Major Global Automakers Worldwide

Key Takeaways: Qualcomm extends its automotive leadership with new collaborations, including Google, to power next‑gen software‑defined vehicles and agentic AI‑driven personalization. Snapdragon Ride and Cockpit Elite Platforms, and Snapdragon Ride Flex SoC, see rapid adoption, adding new design-wins and delivering the industry’s first commercialized mixed‑criticality platform that integrates cockpit, advanced driver‑assistance systems, and end‑to‑end AI. Decade of in-vehicle infotainment

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Automotive

SiMa.ai Announces First Integrated Capability with Synopsys to Accelerate Automotive Physical AI Development

San Jose, California – January 6, 2026 – SiMa.ai today announced the first integrated capability resulting from its strategic collaboration with Synopsys. The joint solution provides a blueprint to accelerate architecture exploration and early virtual software development for AI- ready, next-generation automotive SoCs that support applications such as Advanced Driver Assistance Systems (ADAS) and In-vehicle-Infotainment

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Automotive

D3 Embedded Showcases Camera/Radar Fusion, ADAS Cameras, Driver Monitoring, and LWIR solutions at CES

Las Vegas, NV, January 7, 2026 — D3 Embedded is showcasing a suite of technology solutions in partnership with fellow Edge AI and Vision Alliance Members HTEC, STMicroelectronics and Texas Instruments at CES 2026. Solutions include driver and in-cabin monitoring, ADAS, surveillance, targeting and human tracking – and will be viewable at different locations within

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Market Analysis

Automotive

Automotive radar industry: China’s acceleration and the next wave of sensing

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. With volumes rising and semiconductor innovation accelerating, Yole Group delivers a dual analysis on automotive radar technology, market dynamics, and chipset design.   Key Takeaways 166 million radar modules shipped globally in 2024;

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Market Analysis

Humanoid robots 2025: The race to useful intelligence

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. AI, dexterity, and cost reduction are converging to bring humanoids from prototypes to real-world deployment. Key Takeaways The global humanoid robot market will grow to US$51 billion by 2035. Three adoption waves have

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Market Analysis

AI at the Edge: Low Power, High Stakes

This blog post was originally published at Woodside Capital’s website. It is reprinted here with the permission of Woodside Capital. Palo Alto – November 3, 2025 – Woodside Capital Partners (WCP) is pleased to release our Digital Advertising Quarterly Sector Update for Q3 2025, authored by senior bankers Alain Bismuth and George Jones. Introduction: Intelligence on the Edge Edge

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Blog

Blog Posts

Grounded AI Starts Here: Rapid Customization for RAG and Context Engineering

This blog post was originally published in expanded form at RapidFire AI’s website. It is reprinted here with the permission of RapidFire AI. Building a reliable Retrieval Augmented Generation (RAG) pipeline should not  feel like guesswork. Yet for most AI developers, it still does. According to a recent MIT study on enterprise AI adoption, around 95%

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Blog Posts

How FPGA-Based Frame Grabbers Are Powering Next-Gen Multi-Camera Systems

This article was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. FPGA-based frame grabbers are redefining multi-camera vision by enabling synchronized aggregation of up to eight GMSL streams for autonomous driving, robotics, and industrial automation. They overcome bandwidth and latency limits of USB and Ethernet by using PCIe

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Algorithms & Models

97% Smaller, Just as Smart: Scaling Down Networks with Structured Pruning

This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Why Smaller Models Matter Shrinking AI models isn’t just a nice-to-have—it’s a necessity for bringing powerful, real-time intelligence to edge devices. Whether it’s smartphones, wearables, or embedded systems, these platforms operate with strict memory, compute, and

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