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Ambarella

Ambarella Debuts Next-generation Edge GenAI Technology at ISC West, Including Reasoning Models Running on its CVflow Edge AI SoCs

With Over 30 Million Edge AI Systems-on-Chip Shipped, Ambarella is Driving Innovation for a Broad Range of On-Device and On-Premise Generative AI Applications SANTA CLARA, Calif., March 31, 2025 — Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced during the ISC West security expo that it is continuing to push the envelope

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FRAMOS

Presenting Real-world Vision Logistics Applications

Munich, Bavaria, Germany – March 31st, 2025 – Logistics is facing a number of challenges: processes must function in precise interlocking while speed, efficiency, and cost pressures are increasing. For this reason, SONY and FRAMOS will use real-world logistics examples to show how vision applications can be designed and integrated into existing processes while reducing

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MemryX

MemryX Raises $44 Million in Series B Funding for Advanced Edge AI Computing

ANN ARBOR, Mich., March 27, 2025 /PRNewswire/ — MemryX, a provider of industry leading Edge AI semiconductor solutions, announced today it has raised $44 million in Series B funding.  The funding round received broad support from new and existing investors. This announcement follows MemryX reaching production quality of the industry leading MX3 Accelerator chip, the

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Market Analysis

Algorithms

Passenger Car ADAS Market 2025-2045: Technology, Market Analysis, and Forecasts

For more information, visit https://www.idtechex.com/en/research-report/passenger-car-adas-market-2025-2045-technology-market-analysis-and-forecasts/1080. Global L2+/L3 feature adoption will exceed 50% by 2035. Over the past few years, Advanced Driver Assistance Systems (ADAS) have become a core competitive factor in the passenger vehicles market. In particular, “Level 2+” has emerged as a term describing advanced Level 2 ADAS with more sophisticated capabilities, such as

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Market Analysis

The Rise of Chiplets and Simplified Interconnectivity

Smaller and more compact designs with simplified structures can be achieved with chiplet technology. IDTechEx‘s report, “Chiplet Technology 2025-2035: Technology, Opportunities, Applications“, unpacks the benefits and challenges of developing chiplet technology compared with competing semiconductor designs and their best-suited applications. Chiplet characteristics Chiplets allow for GPU, CPU, and IO components to become miniaturized to suit

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Automotive

Insights from CES 2025: In-cabin Sensing and Software-defined Vehicles

Regulatory landscape and SAE level. As regulatory frameworks such as the EU’s Advanced Driver Distraction Warning (ADDW) near enforcement, automotive OEMs increasingly integrate in-cabin sensing technologies with software-defined vehicle architectures. This shift, evident at CES 2025, marks a pivotal moment in the automotive industry as OEMs leverage existing hardware—such as infrared and RGB cameras—to develop

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Blog

Algorithms

LLMOps Unpacked: The Operational Complexities of LLMs

This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Incorporating a Large Language Model (LLM) into a commercial product is a complex endeavor, far beyond the simplicity of prototyping. As Machine Learning and Generative AI (GenAI) evolve, so does the need for specialized operational practices, leading

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Algorithms

Visual Intelligence: Foundation Models + Satellite Analytics for Deforestation (Part 1)

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Satellite imagery has revolutionized how we monitor Earth’s forests, offering unprecedented insights into deforestation patterns. ‍In this two-part series, we explore both traditional and cutting-edge approaches to forest monitoring, using Bulgaria’s Central Balkan National Park as our

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Algorithms

RGo Robotics Implements Vision-based Perception Engine on Qualcomm SoCs for Robotics Market

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Mobile robotics developers equip their machines to behave autonomously in the real world by generating facility maps, localizing within them and understanding the geometry of their surroundings. Machines like autonomous mobile robots (AMR), automated guided vehicles (AGV)

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