Processors

“How to Right-size and Future-proof a Container-first Edge AI Infrastructure,” a Presentation from Avassa and OnLogic

Algorithms & Models, Avassa, Memory, Processors, Sensors and Cameras, Software, Summit 2025, Tools, Videos /

Carl Moberg, CTO of Avassa, and Zoie Rittling, Business Development Manager at OnLogic, co-present the “How Right-size and Future-proof a Container-first Edge AI Infrastructure” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Moberg and Rittling provide practical guidance on overcoming key challenges in deploying AI at the edge, including remotely managing containerized […]

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“Image Tokenization for Distributed Neural Cascades,” a Presentation from Google and VeriSilicon

Algorithms & Models, Processors, Software, Summit 2025, Tools, VeriSilicon, Videos /

Derek Chow, Software Engineer at Google, and Shang-Hung Lin, Vice President of NPU Technology at VeriSilicon, co-present the “Image Tokenization for Distributed Neural Cascades” tutorial at the May 2025 Embedded Vision Summit. Multimodal LLMs promise to bring exciting new abilities to devices! As we see foundational models become more capable, we see compute requirements grow

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“Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP,” a Presentation from Synopsys

Algorithms & Models, Processors, Software, Summit 2025, Synopsys, Tools, Videos /

Gordon Cooper, Principal Product Manager at Synopsys, presents the “Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP” tutorial at the May 2025 Embedded Vision Summit. In this talk, Cooper discusses emerging trends in generative AI for edge devices and the key role of transformer-based

“Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP,” a Presentation from Synopsys Read More +

AMD Unveils Vision for an Open AI Ecosystem, Detailing New Silicon, Software and Systems at Advancing AI 2025

AMD, News, Processors, Tools /

Only AMD powers the full spectrum of AI, bringing together leadership GPUs, CPUs, networking and open software to deliver unmatched flexibility and performance Meta, OpenAI, xAI, Oracle, Microsoft, Cohere, HUMAIN, Red Hat, Astera Labs and Marvell discussed how they are partnering with AMD for AI solutions SANTA CLARA, Calif., June 12, 2025 (GLOBE NEWSWIRE) —

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AI and Computer Vision Insights at CVPR 2025

Algorithms & Models, Blog Posts, Processors, Qualcomm, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our papers, demos, workshops and tutorial continue our leadership in generative AI and learning systems At Qualcomm AI Research, we are advancing AI to make its core capabilities — perception, reasoning and action — ubiquitous across devices.

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

Algorithms & Models, Processors, Software, SqueezeBits, Summit 2025, Tools, Videos /

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 to error. In this presentation,

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

Algorithms & Models, Processors, Sensors and Cameras, Software, Sony Electronics, Summit 2025, Tools, Videos /

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 for enterprises and developers alike.

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AI Helps Locate Dangerous Fishing Nets Lost at Sea

Algorithms & Models, Blog Posts, NVIDIA, Object Identification, Object Tracking, Processors, Software, Tools /

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

News, Processors, VeriSilicon /

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

News, Processors, VeriSilicon /

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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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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