Algorithms

Synopsys Demonstration of Siengine’s AD1000 ADAS Chip, Powered by Synopsys NPX6 NPU IP

Algorithms, Automotive, Object Identification, Object Tracking, Processors, Software, Summit 2025, Synopsys, Tools /

Gordon Cooper, Principal Product Manager at Synopsys, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Cooper demonstrates the powerful SiEngine AD1000 NPU and the robust toolchain including debugger, profiler, and simulator, which features Synopsys NPX6 NPU IP. Learn how the platform supports TensorFlow, ONNX, and […]

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Synopsys and Visionary.ai Demonstration of a Low-light Real-time AI Video Denoiser Tailored for NPX6 NPU IP

Algorithms, Processors, Software, Summit 2025, Synopsys, Videos, Visionary.ai /

Gordon Cooper, Principal Product Manager at Synopsys, and David Jarmon, Senior VP of Worldwide Sales at Visionary.ai, demonstrates the companies’ latest edge AI and vision technologies and products in Synopsys’ booth at the 2025 Embedded Vision Summit. Specifically, Cooper and Jarmon demonstrate the future of low-light imaging with Visionary.ai’s cutting-edge real-time AI video denoiser. This

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SqueezeBits Demonstration of On-device LLM Inference, Running a 2.4B Parameter Model on the iPhone 14 Pro

Algorithms, Software, SqueezeBits, Summit 2025, Tools, Videos /

Taesu Kim, CTO of SqueezeBits, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kim demonstrates a 2.4-billion-parameter large language model (LLM) running entirely on an iPhone 14 Pro without server connectivity. The device operates in airplane mode, highlighting on-device inference using a hybrid approach that

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Synthetic Data for Computer Vision

Algorithms, Articles, Software, Synetic AI, Tools /

This article was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. Synthetic data is changing how computer vision models are being trained. This page will explain synthetic data and how it compares to traditional approaches. After exploring the main methods of creating synthetic data, we’ll help you

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Sony Semiconductor Demonstration of Its Open-source Edge AI Stack with the IMX500 Intelligent Sensor

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

JF Joly, Product Manager for the AITRIOS platform at Sony Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Joly demonstrates Sony’s fully open-source software stack that enables the creation of AI-powered cameras using the IMX500 intelligent vision sensor. In this demo, Joly illustrates how

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Edge AI Today: Real-world Use Cases for Developers

Algorithms, 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. Developers today face increasing pressure to deliver intelligent features with tighter timelines, constrained resources, and heightened expectations for privacy, performance, and accuracy. This article highlights real-world Edge AI applications already in production and mainstream use—providing actionable inspiration

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Autonomous Driving Software and AI in Automotive 2026-2046: Technologies, Markets, Players

Algorithms, Automotive, Market Analysis, Processors, Software, Tools /

For more information, visit https://www.idtechex.com/en/research-report/autonomous-driving-software-and-ai-in-automotive/1111. The global autonomous driving software market in 2046 will be greater than US$130 billion This report provides an analysis of the software market for ADAS and autonomous driving software. Topic coverage includes business models, hardware, and software paradigms and trends developing in the market for ADAS and autonomous driving. IDTechEx

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Improving Synthetic Data Augmentation and Human Action Recognition with SynthDa

Algorithms, Blog Posts, NVIDIA, Object Identification, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Human action recognition is a capability in AI systems designed for safety-critical applications, such as surveillance, eldercare, and industrial monitoring. However, many real-world datasets are limited by data imbalance, privacy constraints, or insufficient coverage of rare but

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Video Self-distillation for Single-image Encoders: Learning Temporal Priors from Unlabeled Video

Algorithms, Blog Posts, Nota AI, Software, Tools /

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Proposes a simple next-frame prediction task using unlabeled video to enhance single-image encoders. Injects 3D geometric and temporal priors into image-based models without requiring optical flow or object tracking. Outperforms state-of-the-art self-supervised methods like DoRA

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Comparing Synthetic Data Platforms: Synetic AI and NVIDIA Omniverse

Algorithms, Blog Posts, Software, Synetic AI, Tools /

This blog post was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. This blog post compares Synetic AI and NVIDIA Omniverse for synthetic data generation, focusing on deployment-ready computer vision models. Whether you’re exploring simulation tools or evaluating dataset creation platforms, this guide outlines key differences and

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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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