Blog Posts

How AI On the Edge Fuels the 7 Biggest Consumer Tech Trends of 2025

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. From more on-device AI features on your phone to the future of cars, 2025 is shaping up to be a big year Over the last two years, generative AI (GenAI) has shaken up, well, everything. Heading into […]

How AI On the Edge Fuels the 7 Biggest Consumer Tech Trends of 2025 Read More +

Customize e-con Systems’ FPGA IP Cores to Meet Unique Vision Needs

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Developing cutting-edge vision systems requires more than just advanced hardware—it demands the ability to customize and optimize image processing to meet specific application needs. That’s why e-con Systems offers a suite of high-performance Image Signal

Customize e-con Systems’ FPGA IP Cores to Meet Unique Vision Needs Read More +

Optimizing Multimodal AI Inference

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Multimodal models are becoming essential for AI, enabling the integration of diverse data types into a single model for richer insights. During the second Intel® Liftoff Days 2024 hackathon, Rahul Nair’s workshop on Inference of Multimodal Models

Optimizing Multimodal AI Inference Read More +

NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 2 of 3)

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. During this series, we will use Tenyks to build a data-centric pipeline to debug and fix a model trained with the NVIDIA TAO Toolkit. Part 1. We demystify the NVIDIA ecosystem and define a data-centric pipeline based

NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 2 of 3) Read More +

Privacy-first AI: Exploring Federated Learning

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Over the last year we could witness an unprecedented surge in the research and deployment of new leading-edge machine learning models. Although these have already proven themselves to offer useful applications, the gains usually come at the

Privacy-first AI: Exploring Federated Learning Read More +

Why Generative AI is the Catalyst That Mixed Reality Needs

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. From content creation to digital avatars, generative AI is the critical ingredient for building immersive worlds in mixed reality The promise of mixed reality fundamentally changing the way we interact and live our lives has always been

Why Generative AI is the Catalyst That Mixed Reality Needs Read More +

What is Interpolation? Understanding Image Perception in Embedded Vision Camera Systems

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Interpolation is a mathematical technique used to estimate unknown values that lie between known data points. Interpolation helps transform raw sensor data into stunning, full-color images in embedded vision systems. Read the blog to learn

What is Interpolation? Understanding Image Perception in Embedded Vision Camera Systems Read More +

From Generative to Agentic AI, Wrapping the Year’s AI Advancements

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and NVIDIA RTX workstation users.

From Generative to Agentic AI, Wrapping the Year’s AI Advancements Read More +

NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 1 of 3)

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In this series, we’ll build a data-centric pipeline using Tenyks to debug and fix a model trained with the NVIDIA TAO Toolkit. ‍Part 1. We demystify the NVIDIA ecosystem and define a data-centric pipeline tailored for a

NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 1 of 3) Read More +

Qualcomm CEO Cristiano Amon at Web Summit: GenAI is the New UI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How generative AI (GenAI)-powered “agents” will change the way you interact with the digital world The rise of artificial intelligence (AI) opens the door to a vast array of possibilities. AI-powered agents will be the key to

Qualcomm CEO Cristiano Amon at Web Summit: GenAI is the New UI 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.

Contact

Address

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

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