NEW APPROACHES TO VISION AND MULTIMEDIA AT THE EDGE How Qualcomm Is Powering AI-Driven Multimedia at the Edge In this 2025 Embedded Vision Summit talk, Ning Bi, Vice President of Engineering at Qualcomm Technologies, explores the evolution of multimedia processing at the edge, from simple early use cases such as audio and video processing powered […]
Edge AI and Vision Insights: July 9, 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. In ADAS, forward-facing cameras capture traffic signs, signals, and pedestrians at farther distances using a narrow field of view (FOV). This narrower angle enables the camera to focus on distant objects with greater accuracy, making
Why HDR and LED Flicker Mitigation Are Game-changers for Forward-facing Cameras in ADAS Read More +
Nathan Francis, Head of Business Development at Aizip, demonstrates the company’s latest edge AI and vision technologies and products in Cadence’s booth at the 2025 Embedded Vision Summit. Specifically, Francis demonstrates the capabilities of his company’s small language model capable of running on a bike computer. You can’t assume internet connectivity when biking in the
Stephan Sokolov, Software Engineer at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products in BrainChip’s booth at the 2025 Embedded Vision Summit. Specifically, Sokolov demonstrates the power of real-time AI inference at the edge, running DeGirum’s PySDK application directly on BrainChip hardware. This demo showcases low-latency, high-efficiency performance as a script
DeGirum Demonstration of Its PySDK Running on BrainChip Hardware for Real-time Edge AI Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Data goes far beyond text—it is inherently multimodal, encompassing images, video, audio, and more, often in complex and unstructured formats. While the common method is to convert PDFs, scanned images, slides, and other documents into text, it
Kurt Manninen, Senior Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Manninen demonstrates his company’s large language models (LLMs) running on an FPGA edge device, powered by BrainChip’s proprietary TENNs (Temporal Event-Based Neural Networks) framework. BrainChip enables real-time generative AI
Richard Resseguie, Senior Product Manager at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Resseguie demonstrates the company’s latest advancements in edge audio AI. The demo features a suite of models purpose-built for real-world applications including automatic speech recognition, denoising, keyword spotting, and
BrainChip Demonstration of Its Latest Audio AI Models in Action At the Edge Read More +
San Jose, CA – July 7, 2025 – Andes Technology (TWSE: 6533; SIN: US03420C2089; ISIN: US03420C1099), the leading supplier of high-efficiency, low-power 32/64-bit RISC-V processor cores and founding premier member of RISC-V International, today announced a major milestone in its U.S. expansion through Condor Computing, a wholly owned subsidiary based in Austin, Texas. Condor Computing was established
In the video below, IDTechEx senior technology analyst Yulin Wang talks you through the state-of-play of humanoid robots, covering: A comparison of weight versus payload capabilities of humanoid robots from multiple suppliers Industrial & non-industrial use cases of humanoid robots and the companies developing them A breakdown of key components in humanoid robots Tackling the
Humanoid Robots: Players, Technical Overview and Outlook Read More +
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Across the globe, regulators are accelerating efforts to make roads safer through the widespread adoption of Automatic Emergency Braking (AEB). In the United States, the National Highway Traffic Safety Administration (NHTSA) implemented a sweeping regulation that requires
Achieving High-speed Automatic Emergency Braking with AI-driven 4D Imaging Radar 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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