This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Key takeaways: We talk about five techniques—compiling to machine code, quantization, weight pruning, domain-specific fine-tuning, and training small models with larger models—that can be used to improve on-device AI model performance. Whether you think edge AI is […]
Optimizing Your AI Model for the Edge Read More +
Sriram Kalluri, Product Marketing Manager for Cadence Tensilica DSPs, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kalluri demonstrates the use of the Tensilica Vision 130 (P6) DSP for advanced 4D radar computing for perception sensing used in ADAS applications. The Vision 130 DSP is
Amol Borkar, Director of Product Marketing for Cadence Tensilica DSPs, presents the company’s latest edge AI and vision technologies at the 2025 Embedded Vision Summit. Specifically, Borkar demonstrates the use of the Tensilica Vision 230 (Q7) DSP for advanced AI and transformer applications. The Vision 230 DSP is a highly efficient, configurable, and extensible processor
AI chips for data centers, rely on international collaboration in design, manufacturing, and distribution, however the US has cornered China by restricting this collaboration. These AI processors see increasing demand in data centers, but this comes with high energy consumption and capital costs. The discussion around advanced chips for artificial intelligence, driven by billions in
US Export Controls on AI Chips Boost Domestic Innovation in China Read More +
Reliable Vision Meets Low-Light Excellence California & Chennai (July 9, 2025): e-con Systems®, a global leader in embedded vision solutions, is excited to introduce the ONVIF-compliant 4K HDR GigE Camera – RouteCAM_CU86 – built with the Sony STARVIS 2 IMX678 sensor and engineered to provide exceptional image clarity and reliability even in the most challenging
e-con Systems Launches ONVIF-compliant 4K HDR GigE Camera for Smart Vision Applications 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
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