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

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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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Using the Qualcomm AI Inference Suite from Google Colab

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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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“Transformer Networks: How They Work and Why They Matter,” a Presentation from Synthpop AI

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Rakshit Agrawal, Principal AI Scientist at Synthpop AI, presents the “Transformer Networks: How They Work and Why They Matter” tutorial at the May 2025 Embedded Vision Summit. Transformer neural networks have revolutionized artificial intelligence by introducing an architecture built around self-attention mechanisms. This has enabled unprecedented advances in understanding sequential… “Transformer Networks: How They Work

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

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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

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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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“Understanding Human Activity from Visual Data,” a Presentation from Sportlogiq

Algorithms, Edge AI and Vision Alliance, Face Detection, Face Recognition, Object Identification, Object Tracking, Software, Summit 2025, Tools, Videos /

Mehrsan Javan, Chief Technology Officer at Sportlogiq, presents the “Understanding Human Activity from Visual Data” tutorial at the May 2025 Embedded Vision Summit. Activity detection and recognition are crucial tasks in various industries, including surveillance and sports analytics. In this talk, Javan provides an in-depth exploration of human activity understanding,… “Understanding Human Activity from Visual

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

Andes Technology, News, Processors, Tools /

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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“Multimodal Enterprise-scale Applications in the Generative AI Era,” a Presentation from Skyworks Solutions

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Mumtaz Vauhkonen, Senior Director of AI at Skyworks Solutions, presents the “Multimodal Enterprise-scale Applications in the Generative AI Era” tutorial at the May 2025 Embedded Vision Summit. As artificial intelligence is making rapid strides in use of large language models, the need for multimodality arises in multiple application scenarios. Similar… “Multimodal Enterprise-scale Applications in the

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How CLIKA’s Automated Hardware-aware AI Compression Toolkit Efficiently Enables Scalable Deployment of AI on Any Target Hardware

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This blog post was originally published at CLIKA’s website. It is reprinted here with the permission of CLIKA. Organisations are making a shift from experimental spending on AI to long-term investments in this new technology but there are challenges involved. Here’s how CLIKA can help. With democratising AI and greater access to open-source AI models,

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Using the Qualcomm AI Inference Suite Directly from a Web Page

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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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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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