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“Bridging the Gap: Streamlining the Process of Deploying AI onto Processors,” a Presentation from SqueezeBits

Taesu Kim, Chief Technology Officer at SqueezeBits, presents the “Bridging the Gap: Streamlining the Process of Deploying AI onto Processors” tutorial at the May 2025 Embedded Vision Summit. Large language models (LLMs) often demand hand-coded conversion scripts for deployment on each distinct processor-specific software stack—a process that’s time-consuming and prone… “Bridging the Gap: Streamlining the […]

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“From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge,” a Presentation from Sony Semiconductor Solutions

Amir Servi, Edge Deep Learning Product Manager at Sony Semiconductor Solutions, presents the “From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge” tutorial at the May 2025 Embedded Vision Summit. Sony’s unique integrated sensor-processor technology is enabling ultra-efficient intelligence directly at the image source, transforming vision AI… “From Enterprise to Makers: Driving

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AI Helps Locate Dangerous Fishing Nets Lost at Sea

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Conservationists have launched a new AI tool that can sift through petabytes of underwater imaging from anywhere in the world to identify signs of abandoned or lost fishing nets—so-called ghost nets. Each year, around 2% of the

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The SHD Group Releases New Edge AI Processor and Ecosystem Report

Now available for free download from Alliance Member company The SHD Group is their latest market report, Edge AI Market Analysis: Applications, Processors and Ecosystem Guide, developed in partnership with the Edge AI and Vision Alliance. The report provides a detailed exploration of the rapidly evolving edge AI landscape, covering critical insights on emerging applications,

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What Is Agentic AI? A Complete Guide to the Future of Autonomous Intelligence

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. What is agentic AI? It refers to intelligent systems that can autonomously set goals, make decisions, and execute tasks without constant human input. It marks a significant shift from reactive chatbots to proactive, mission-oriented AI

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“Why It’s Critical to Have an Integrated Development Methodology for Edge AI,” a Presentation from Lattice Semiconductor

Sreepada Hegade, Director of ML Systems and Software at Lattice Semiconductor, presents the “Why It’s Critical to Have an Integrated Development Methodology for Edge AI” tutorial at the May 2025 Embedded Vision Summit. The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced… “Why It’s Critical to Have

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SplitQuant: Layer Splitting for Low-bit Neural Network Quantization for Edge AI Devices

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. This study proposes an AI model preprocessing method for improved quantization accuracies on edge AI devices which do not support advanced quantization methods due to their limitations. By splitting layers based on parameter clustering, the

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“Solving Tomorrow’s AI Problems Today with Cadence’s Newest Processor,” a Presentation from Cadence

Amol Borkar, Product Marketing Director at Cadence, presents the “Solving Tomorrow’s AI Problems Today with Cadence’s Newest Processor” tutorial at the May 2025 Embedded Vision Summit. Artificial intelligence is rapidly integrating into every aspect of technology. While the neural processing unit (NPU) often receives the majority of the spotlight as… “Solving Tomorrow’s AI Problems Today

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Andes Technology Unveils AndesAIRE AnDLA I370: A Next-generation Deep Learning Accelerator for Edge and Endpoint AI

Hsinchu, Taiwan –June 05, 2025 – Andes Technology, a leading supplier of high-performance, low-power 32/64-bit RISC-V processor cores and AI acceleration solutions, proudly announces the launch of AndesAIRE™ AnDLA™ I370, its latest Deep Learning Accelerator (DLA), engineered to bring advanced neural network performance to cost-sensitive edge and endpoint AI applications. Building on the success of

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“State-space Models vs. Transformers for Ultra-low-power Edge AI,” a Presentation from BrainChip

Tony Lewis, Chief Technology Officer at BrainChip, presents the “State-space Models vs. Transformers for Ultra-low-power Edge AI” tutorial at the May 2025 Embedded Vision Summit. At the embedded edge, choices of language model architectures have profound implications on the ability to meet demanding performance, latency and energy efficiency requirements. In… “State-space Models vs. Transformers for

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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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