Processors

“Lessons Learned Building and Deploying a Weed-killing Robot,” a Presentation from Tensorfield Agriculture

Xiong Chang, CEO and Co-founder of Tensorfield Agriculture, presents the “Lessons Learned Building and Deploying a Weed-Killing Robot” tutorial at the May 2025 Embedded Vision Summit. Agriculture today faces chronic labor shortages and growing challenges around herbicide resistance, as well as consumer backlash to chemical inputs. Smarter, more sustainable approaches… “Lessons Learned Building and Deploying […]

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Artificial Intelligence (AI) As the Semiconductor Growth Engine: AI White Paper Volume 1 – Memory & Computing

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Yole Group Launches its First AI White Paper. KEY TAKEAWAYS Compute at the limit: Training and inference workloads now demand gigawatts of electricity, raising urgent questions on sustainability, cost, and infrastructure capacity.

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Using the Qualcomm AI Inference Suite from Google Colab

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Building off of the blog post here, which shows how easy it is to call the Cirrascale AI Inference Cloud using the Qualcomm AI Inference Suite, we’ll use Google Colab to show the same scenario. In the previous blog

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Qualcomm to Acquire Arduino—Accelerating Developers’ Access to its Leading Edge Computing and AI

New Arduino UNO Q and Arduino App Lab to Enable Millions of Developers with the Power of Qualcomm Dragonwing Processors Highlights: Acquisition to combine Qualcomm’s leading-edge products and technologies with Arduino’s vast ecosystem and community to empower businesses, students, entrepreneurs, tech professionals, educators and enthusiasts to quickly and easily bring ideas to life. New Arduino

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Deploy High-performance AI Models in Windows Applications on NVIDIA RTX AI PCs

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Microsoft is now making Windows ML available to developers. Windows ML enables C#, C++ and Python developers to optimally run AI models locally across PC hardware from CPU, NPU and GPUs. On NVIDIA RTX GPUs, it utilizes

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Andes Technology Expands Comprehensive AndeSentry Security Suite with Complete Trusted Execution Environment Support for Embedded Systems

Includes IOPMP, Secure Boot, MCU-TEE for RTOS, and OP-TEE for Linux to Protect Devices from MCUs to Edge AI Processors Hsinchu, Taiwan – October 6th, 2025 – Andes Technology Corporation, the leading supplier of high-efficiency, low-power 32/64-bit RISC-V processor cores, today announced the latest AndeSentry™ Framework with two new components, Secure Boot v1.0.1 and MCU-TEE

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SiMa.ai and Enclustra: Redefining Solutions for Physical AI

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. At SiMa.ai and Enclustra, we don’t build products to follow trends – we engineer platforms that redefine them. Our collaboration is a prime example. By combining SiMa’s groundbreaking MLSoC™ Modalix with Enclustra’s proven SoM design expertise, we

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Generative AI Reshapes the Global Processor Market, Driving Unprecedented Growth

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Semiconductor Tour on 10/8 at 11:00 AM, in parallel to Semicon West- Invited speakers: NVIDIA, Intel, Lam Research. Register today! KEY TAKEAWAYS The processor market is projected to reach $554 billion by

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Using the Qualcomm AI Inference Suite Directly from a Web Page

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Applying the Qualcomm AI Inference Suite directly from a web page using JavaScript makes it easy to create and understand how AI inference works in in web solutions. Qualcomm Technologies in collaboration with Cirrascale has a free-to-try

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Edge AI Hangs on Power: Can Chipmakers Meet Up?

Power semiconductors will define how well and how quickly the global economy adopts Edge AI and benefit from its promises. That’s why the race is stiffening among chipmakers to offer the most innovative power management components and systems. Who is winning? What’s at stake: The stakes for power semiconductor makers in the Edge AI market

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