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
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 +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. “It’s amazing how Qualcomm was able to turn the ship on a dime since the last [Embedded World] show. The launch of Qualcomm Dragonwing and the Partner Day event were on point and helpful, showing Qualcomm’s commitment
Qualcomm Trends and Technologies to Watch In IoT and Edge AI Read More +
Yair Siegel, Senior Director for Wireless and Emerging Markets at Ceva, presents the “NPU IP Hardware Shaped Through Software and Use-case Analysis” tutorial at the May 2025 Embedded Vision Summit. True innovation in tiny machine learning (tinyML) emerges from a synergy between software ingenuity, real-world application insights and leading-edge processor IP. In this presentation, Siegel
AI model optimization powers high-efficiency DMS on ultra-compact MCUs 50FPS real-time performance with ultra-low power and minimal system footprint SEOUL, South Korea, July 2, 2025 /PRNewswire/ — Nota AI, a global leader in AI optimization, today announced a collaboration with Renesas Electronics Corporation, a premier supplier of advanced semiconductor solutions, to deliver an optimized Driver Monitoring
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