Software

NVIDIA Holoscan Sensor Bridge Empowers Developers with Real-time Data Processing

Algorithms, Blog Posts, NVIDIA, Processors, Sensors and Cameras, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In the rapidly evolving robotics and edge AI landscape, the ability to efficiently process and transfer sensor data is crucial. Many edge applications are moving away from single-sensor fixed-function solutions and in favor of diverse sensor arrays. […]

NVIDIA Holoscan Sensor Bridge Empowers Developers with Real-time Data Processing Read More +

“How to Right-size and Future-proof a Container-first Edge AI Infrastructure,” a Presentation from Avassa and OnLogic

Algorithms, Avassa, Memory, Processors, Sensors and Cameras, Software, Summit 2025, Tools, Videos /

Carl Moberg, CTO of Avassa, and Zoie Rittling, Business Development Manager at OnLogic, co-present the “How Right-size and Future-proof a Container-first Edge AI Infrastructure” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Moberg and Rittling provide practical guidance on overcoming key challenges in deploying AI at the… “How to Right-size and Future-proof

“How to Right-size and Future-proof a Container-first Edge AI Infrastructure,” a Presentation from Avassa and OnLogic Read More +

AI On Board: Near Real-time Insights for Sustainable Fishing

Algorithms, Articles, Object Identification, Object Tracking, Software, Tools, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Marine ecosystems are under pressure from unsustainable fishing, with some populations declining faster than they can recover. Illegal, unreported, and unregulated (IUU) fishing further contributes to the problem, threatening biodiversity, economies, and global seafood supply chains. While many

AI On Board: Near Real-time Insights for Sustainable Fishing Read More +

“Image Tokenization for Distributed Neural Cascades,” a Presentation from Google and VeriSilicon

Algorithms, Processors, Software, Summit 2025, Tools, VeriSilicon, Videos /

Derek Chow, Software Engineer at Google, and Shang-Hung Lin, Vice President of NPU Technology at VeriSilicon, co-present the “Image Tokenization for Distributed Neural Cascades” tutorial at the May 2025 Embedded Vision Summit. Multimodal LLMs promise to bring exciting new abilities to devices! As we see foundational models become more capable,… “Image Tokenization for Distributed Neural

“Image Tokenization for Distributed Neural Cascades,” a Presentation from Google and VeriSilicon Read More +

“Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP,” a Presentation from Synopsys

Algorithms, Processors, Software, Summit 2025, Synopsys, Tools, Videos /

Gordon Cooper, Principal Product Manager at Synopsys, presents the “Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP” tutorial at the May 2025 Embedded Vision Summit. In this talk, Cooper discusses emerging trends in generative AI for edge devices and… “Key Requirements to Successfully Implement

“Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP,” a Presentation from Synopsys Read More +

Upcoming Webinar Explores SLAM Optimization for Autonomous Robots

Algorithms, eInfochips, News, Robotics, Sensors and Cameras, Software, Tools /

On July 10, 2025 at 8:00 am PT (11:00 am ET), Alliance Member company eInfochips will deliver the free webinar “GPU-Accelerated Real-Time SLAM Optimization for Autonomous Robots.” From the event page: Optimizing execution time for long-term and large-scale SLAM algorithms is essential for real-time deployments on edge compute platforms. Higher throughput of SLAM output provides

Upcoming Webinar Explores SLAM Optimization for Autonomous Robots Read More +

AI and Computer Vision Insights at CVPR 2025

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. Our papers, demos, workshops and tutorial continue our leadership in generative AI and learning systems At Qualcomm AI Research, we are advancing AI to make its core capabilities — perception, reasoning and action — ubiquitous across devices.

AI and Computer Vision Insights at CVPR 2025 Read More +

“Bridging the Gap: Streamlining the Process of Deploying AI onto Processors,” a Presentation from SqueezeBits

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

Taesu Kim, Chief Technology Officer at SqueezeBits, presents the “Bridging the Gap: Streamlining the Process of Deploying AI onto Processors” tutorial at the May 2025 Embedded Vision Summit. Large language models (LLMs) often demand hand-coded conversion scripts for deployment on each distinct processor-specific software stack—a process that’s time-consuming and prone… “Bridging the Gap: Streamlining the

“Bridging the Gap: Streamlining the Process of Deploying AI onto Processors,” a Presentation from SqueezeBits Read More +

“From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge,” a Presentation from Sony Semiconductor Solutions

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

Amir Servi, Edge Deep Learning Product Manager at Sony Semiconductor Solutions, presents the “From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge” tutorial at the May 2025 Embedded Vision Summit. Sony’s unique integrated sensor-processor technology is enabling ultra-efficient intelligence directly at the image source, transforming vision AI… “From Enterprise to Makers: Driving

“From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge,” a Presentation from Sony Semiconductor Solutions Read More +

AI Helps Locate Dangerous Fishing Nets Lost at Sea

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

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Conservationists have launched a new AI tool that can sift through petabytes of underwater imaging from anywhere in the world to identify signs of abandoned or lost fishing nets—so-called ghost nets. Each year, around 2% of the

AI Helps Locate Dangerous Fishing Nets Lost at Sea 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