Processors

Vedya Labs Demonstration of Stable Diffusion Deployment on Cadence Tensilica DSPs

Algorithms & Models, Cadence, Processors, Summit 2026, Videos /

Suresh Pasupuleti, Managing Director of Vedya Labs, presents the company’s work in bringing Stable Diffusion-based image generation to DSP-centric embedded platforms. The demonstration showcases a nearly 500-million-parameter model running on the Axera AX650N SoC, with the text encoder, U-Net, and VAE stages optimized for dual Cadence Tensilica Vision DSPs. Using INT8 quantization and a combination […]

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Bolom Sound Classification on Cadence Tensilica HiFi 5

Algorithms & Models, Automotive, Cadence, Consumer, Processors, Robotics, Summit 2026, Videos /

Mauricio Greene of Bolom demonstrates real-time Sound Classification running on the Cadence Tensilica HiFi 5 DSP at the Embedded Vision Summit. Bolom Acoustic Intelligence edge models identify hundreds of distinct sound events and soundscape scenes – such as sirens, alarms, horns, traffic and more, fully on-device and without relying on the cloud. The Tensilica HiFi

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When the Edge Is 400 Kilometers Up: AI, Space, and the Limits of Cloud Computing

Aerospace and Defense, Algorithms & Models, Ambarella, Processors, Software, Tools /

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. The orbital community has reached the same conclusions that the broader edge AI industry has been articulating for years: If moving the data is more expensive than moving the result, the processing belongs where the data was produced. The

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HTEC White Paper Outlines the Convergence of Edge AI, Semiconductor Software, and Autonomous Systems

Aerospace and Defense, Algorithms & Models, Automotive, Blog Posts, HTEC Group, Information Access and Analytics, Processors, Software, Tools /

This content was originally published at HTEC’s website. It is reprinted here with the permission of HTEC. Physical AI at the Edge: Building the Full Stack for Real-World Deployment For years, AI progress was measured by model benchmark scores. The real test is different: does it work when deployed in a vehicle, a factory, a

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Powering the Next Generation of NVIDIA AI Factories with MGX

Analog Devices, Industrial Vision (Computer Vision), News, NVIDIA, Processors /

This blog post was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. As AI workloads accelerate, the shift toward AI factories are driving unprecedented rack-level power density. At the center of this transition is NVIDIA MGX™, an open modular architecture that enables faster system design, improved scalability and rapid

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“From Chips to Platforms: Scaling Edge AI with SoMs, Production Linux and Secure Life-Cycle Ops,” a Presentation from Peridio

Edge AI and Vision Alliance, Peridio, Processors, Software, Summit 2026, Tools, Videos /

Amir Sherman, Head of Global Business Development at Peridio presents “From Chips to Platforms: Scaling Edge AI with SoMs, Production Linux and Secure Life-Cycle Ops” at the May 2026 Embedded Vision Summit. Edge AI has moved beyond choosing a single chip or platform. Teams now face a harder question: how… “From Chips to Platforms: Scaling

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MemryX Expands Cascade Platform, Bringing Power-Efficient Edge AI to Servers

MemryX, News, Processors /

Introducing an expanded portfolio of modules that gives developers a single, scalable architecture to power everything from low-power devices to enterprise edge infrastructure ANN ARBOR, Mich., June 22, 2026 /PRNewswire/ — As AI moves from cloud environments into factories, transportation systems, robotics, and intelligent infrastructure, developers face growing challenges related to power consumption, memory bandwidth, deployment complexity,

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“Porting and Optimizing Advanced Vision-Language-Action Models for Embedded Autonomous Systems,” a Presentation from Quadric

Algorithms & Models, Edge AI and Vision Alliance, Processors, Quadric, Software, Summit 2026, Videos, VLMs /

Mike Leonard, Software Architect at Quadric presents “Porting and Optimizing Advanced Vision-Language-Action Models for Embedded Autonomous Systems” at the May 2026 Embedded Vision Summit. World-scale vision-language-action (VLA) models are the new frontier in AI for autonomous driving and robotics, enabling systems to perceive, reason and act in complex real-world environments.… “Porting and Optimizing Advanced Vision-Language-Action

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Powering Edge AI at Scale: Synaptics Astra SRW1500 Series Single-Chip AI MCU

Blog Posts, Processors, Software, Synaptics /

This blog post was originally published at Synaptics’ website. It is reprinted here with the permission of Synaptics. From the early days of the Internet of Things (IoT), connected devices have been highly effective at sensing and processing real-world inputs. But as AI workloads grow more demanding and real-time responsiveness becomes critical, the value is no

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BrainChip Unveils Communication Reference Platform, Fueling Signal Intelligence at the Edge

Aerospace and Defense, BrainChip, News, Processors /

LAGUNA HILLS, Calif. – June 23, 2026 – BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, BCHPY), the first commercial producer of neuromorphic artificial intelligence technology, today announced the Akida Communication Reference Platform, a physical development platform for RF signal classification using BrainChip’s Akida AKD1500 neuromorphic processor. The platform is a critical tool for defense contractors and government agencies

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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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