Algorithms

“Vision-language Models on the Edge,” a Presentation from Hugging Face

Algorithms, Edge AI and Vision Alliance, Multimodal, Software, Summit 2025, Tools, Videos /

Cyril Zakka, Health Lead at Hugging Face, presents the “Vision-language Models on the Edge” tutorial at the May 2025 Embedded Vision Summit. In this Zakka, we provides an overview of vision-language models (VLMs) and their deployment on edge devices using Hugging Face’s recently released SmolVLM as an example. He examines… “Vision-language Models on the Edge,” […]

“Vision-language Models on the Edge,” a Presentation from Hugging Face Read More +

OwLite Meets Qualcomm Neural Network: Unlocking On-device AI Performance

Algorithms, Blog Posts, Processors, Qualcomm, Software, SqueezeBits, Tools /

This blog post was originally published at SqueezeBits’ website. It is reprinted here with the permission of SqueezeBits. At SqueezeBits we have been empowering developers to efficiently deploy complex AI models while minimizing performance trade-offs with OwLite toolkit. With OwLite v2.5, we’re excited to announce official support for Qualcomm Neural Network (QNN) through seamless integration

OwLite Meets Qualcomm Neural Network: Unlocking On-device AI Performance Read More +

“Vision LLMs in Multi-agent Collaborative Systems: Architecture and Integration,” a Presentation from Google

Algorithms, Edge AI and Vision Alliance, Multimodal, Software, Summit 2025, Tools, Videos /

Niyati Prajapati, ML and Generative AI Lead at Google, presents the “Vision LLMs in Multi-agent Collaborative Systems: Architecture and Integration” tutorial at the May 2025 Embedded Vision Summit. In this talk, Prajapati explores how vision LLMs can be used in multi-agent collaborative systems to enable new levels of capability and… “Vision LLMs in Multi-agent Collaborative

“Vision LLMs in Multi-agent Collaborative Systems: Architecture and Integration,” a Presentation from Google Read More +

Shifting AI Inference from the Cloud to Your Phone Can Reduce AI Costs

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. Every AI query has a cost, and not just in dollars. Study shows distributing AI workloads to your devices — such as your smartphone — can reduce costs and decrease water consumption What you should know: Study

Shifting AI Inference from the Cloud to Your Phone Can Reduce AI Costs Read More +

“Building Agentic Applications for the Edge,” a Presentation from GMAC Intelligence

Algorithms, Edge AI and Vision Alliance, Multimodal, Software, Summit 2025, Tools, Videos /

Amit Mate, Founder and CEO of GMAC Intelligence, presents the “Building Agentic Applications for the Edge” tutorial at the May 2025 Embedded Vision Summit. Along with AI agents, the new generation of large language models, vision-language models and other large multimodal models are enabling powerful new capabilities that promise to… “Building Agentic Applications for the

“Building Agentic Applications for the Edge,” a Presentation from GMAC Intelligence Read More +

How to Use the RGB-D Mapping Feature of e-con Systems’ DepthVista ToF Camera

Algorithms, Blog Posts, e-con Systems, Sensors and Cameras, Software, Tools /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Learn how to leverage the RGB-D mapping feature of e-con Systems’ DepthVista ToF camera to align RGB and depth data for precise 3D vision applications. This step-by-step guide covers camera calibration, the role of intrinsic

How to Use the RGB-D Mapping Feature of e-con Systems’ DepthVista ToF Camera Read More +

“Enabling Ego Vision Applications on Smart Eyewear Devices,” a Presentation from EssilorLuxottica

Algorithms, Edge AI and Vision Alliance, Memory, Multimodal, Processors, Sensors and Cameras, Software, Summit 2025, Tools, Videos /

Francesca Palermo, Research Principal Investigator at EssilorLuxottica, presents the “Enabling Ego Vision Applications on Smart Eyewear Devices” tutorial at the May 2025 Embedded Vision Summit. Ego vision technology is revolutionizing the capabilities of smart eyewear, enabling applications that understand user actions, estimate human pose and provide spatial awareness through simultaneous… “Enabling Ego Vision Applications on

“Enabling Ego Vision Applications on Smart Eyewear Devices,” a Presentation from EssilorLuxottica Read More +

LLiMa: SiMa.ai’s Automated Code Generation Framework for LLMs and VLMs for <10W

Algorithms, Blog Posts, Multimodal, Processors, SiMa.ai, Software, Tools /

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. In our blog post titled “Implementing Multimodal GenAI Models on Modalix”, we describe how SiMa.ai’s MLSoC Modalix enables Generative AI models to be implemented for Physical AI applications with low latency and low power consumption.  We implemented

LLiMa: SiMa.ai’s Automated Code Generation Framework for LLMs and VLMs for <10W Read More +

“Introduction to Deep Learning and Visual AI: Fundamentals and Architectures,” a Presentation from eBay

Algorithms, Edge AI and Vision Alliance, Software, Summit 2025, Tools, Videos /

Mohammad Haghighat, Senior Manager for CoreAI at Bay, presents the “Introduction to Deep Learning and Visual AI: Fundamentals and Architectures” tutorial at the May 2025 Embedded Vision Summit. This talk provides a high-level introduction to artificial intelligence and deep learning, covering the basics of machine learning and the key concepts… “Introduction to Deep Learning and

“Introduction to Deep Learning and Visual AI: Fundamentals and Architectures,” a Presentation from eBay Read More +

Why Synthetic Data Is Shaping the Future of Computer Vision

Algorithms, Blog Posts, Geisel Software, Software, Tools /

This blog post was originally published at Geisel Software’s Symage website. It is reprinted here with the permission of Geisel Software. The future of “seeing” Synthetic data solves data bottlenecks: It reduces the time and cost of collecting and labeling data—particularly rare edge cases—which often consume the majority of AI development time. Complex scenes remain

Why Synthetic Data Is Shaping the Future of Computer Vision 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.

Pages

Topics

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
Scroll to Top