NEW PROCESSORS ENABLE ULTRA-EFFICIENT EDGE INFERENCE Key Requirements to Successfully Implement Generative AI in Edge Devices: Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP In this 2025 Embedded Vision Summit talk, Gordon Cooper, Principal Product Manager at Synopsys, discusses emerging trends in generative AI for edge devices and the key role of transformer-based […]
Edge AI and Vision Insights: August 6, 2025 Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Any breach along the perimeter, from industrial plants to data centers, results in major threats. That’s why embedded vision is so important. Discover how cameras work in these systems, their must-have features, as well as
The Role of Embedded Cameras in Ensuring Perimeter Security Read More +
Texas Instruments’ portfolio of AM6xA Arm-based processors are designed to advance intelligence at the edge using high resolution camera support, an integrated image sensor processor and deep learning accelerator. This video demonstrates using AM62A to run a vision-based artificial intelligence model for defect detection for manufacturing applications. Watch the model test the produced units as
Amol Borkar, Product Marketing Director, and Vencatesh Subramanian, Design Engineering Architect, both of Cadence, co-present the “Introduction to Radar and Its Use for Machine Perception” tutorial at the May 2025 Embedded Vision Summit. Radar is a proven technology with a long history in various market segments and continues to play an increasingly important role in
“Introduction to Radar and Its Use for Machine Perception,” a Presentation from Cadence Read More +
Aligns with BrainChip’s long-term strategy to accelerate customer access to its innovations and reduce development cycles LAGUNA HILLS, Calif.–(BUSINESS WIRE)–BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based neuromorphic AI, today announced launch of the BrainChip Developer Akida Cloud, a new cloud-based access point
Humanoids, AI Chips, and Autonomy. Co-habiting or working alongside robots with humanlike capabilities may no longer be a thing of science-fiction. Assembling car parts or doing the weekly shop may be smart tasks for collaborative robots, while robotaxis boast the independence possible with the latest developments in vehicle autonomy. IDTechEx‘s research into Robotics & Autonomy
Humanoids, AI Chips, and Autonomy in the Future of Robotics Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Quantization is a core tool for developers aiming to improve inference performance with minimal overhead. It delivers significant gains in latency, throughput, and memory efficiency by reducing model precision in a controlled way—without requiring retraining. Today, most models
Optimizing LLMs for Performance and Accuracy with Post-training Quantization Read More +
Ben Roberts, Vice President of Sales at Sunex, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Roberts demonstrates three new key technological advancements from his company for embedded and computer vision. First is the SXM, Sunex’s interchangeable board-mount lens technology, which allows for end-user swapping
Sunex Demonstration of Three New Breakthrough Lens Products Read More +
Alexandra Kazerounian, Senior Product Marketing Manager at Alif Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kazerounian demonstrates how AI/ML workloads can run directly on her company’s ultra-low-power Ensemble and Balletto 32-bit microcontrollers. Watch as the AI/ML AppKit runs real-time face detection using an
Kwabena Agyeman, president and co-founder of OpenMV, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Agyeman demonstrates the new OpenMV Cam N6 and AE3, which can run AI models in a form factor the size of an inch. The new OpenMV Cams can run on
OpenMV Demonstration of the OpenMV Cam N6 and AE3 Read More +
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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