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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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“Addressing Evolving AI Model Challenges Through Memory and Storage,” a Presentation from Micron

Wil Florentino, Senior Segment Marketing Manager at Micron, presents the “Addressing Evolving AI Model Challenges Through Memory and Storage” tutorial at the May 2025 Embedded Vision Summit. In the fast-changing world of artificial intelligence, the industry is deploying more AI compute at the edge. But the growing diversity and data… “Addressing Evolving AI Model Challenges

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VeriSilicon’s Ultra-low Energy NPU Provides Over 40 TOPS for On-device LLM Inference in Mobile Applications

The energy-efficient architecture scales across AI-enabled devices, including AI phones and AI PCs Shanghai, China, June 9, 2025–VeriSilicon (688521.SH) today announced that its ultra-low energy and high-performance Neural Network Processing Unit (NPU) IP now supports on-device inference of large language models (LLMs) with AI computing performance scaling beyond 40 TOPS. This energy-efficient NPU architecture is

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VeriSilicon’s Scalable High-performance GPGPU-AI Computing IPs Empower Automotive and Edge Server AI Solutions

Provide AI acceleration with high computing density, multi-chip scaling, and 3D-stacked memory integration Shanghai, China, June 9, 2025–VeriSilicon (688521.SH) today announced the latest advancements in its high-performance and scalable GPGPU-AI computing IPs, which are now empowering next-generation automotive electronics and edge server applications. Combining programmable parallel computing with a dedicated Artificial Intelligence (AI) accelerator, these

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VeriSilicon’s AI-ISP Custom Chip Solution Enables Mass Production of Customer’s Smartphones

Providing architecture design, software-hardware co-development, and mass production support, and enhancing AI-powered imaging capabilities in smart devices Shanghai, China, June 9, 2025–VeriSilicon (688521.SH) recently announced that its AI-ISP custom chip solution has been successfully adopted in a customer’s mass-produced smartphones, reaffirming the company’s comprehensive one-stop custom silicon service capabilities in AI vision processing. VeriSilicon’s AI-ISP

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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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