Blog Posts

Validating NVIDIA DRIVE Sim Camera Models

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Autonomous vehicles require large-scale development and testing in a wide range of scenarios before they can be deployed. Simulation can address these challenges by delivering scalable, repeatable environments for autonomous vehicles to encounter the rare and dangerous […]

Validating NVIDIA DRIVE Sim Camera Models Read More +

The Criticality of Ethical AI

This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. One of the most exciting topics in the tech world is Artificial Intelligence, or AI. From its science-fiction like promise of intelligent machines to its more practical implementations as additional smarts in connected devices, AI

The Criticality of Ethical AI Read More +

Ready for Air: Welcome to a New Dawn for Aerial Autonomy

This blog post was originally published at Opteran Technologies’ website. It is reprinted here with the permission of Opteran Technologies. Opteran enables robust, fast, GPS free, verifiable autonomy for aerial systems, at previously unimaginable size, weight (~30g), power (~3W) and hardware costs using consumer 2D cameras Today we’re happy to share a first glance at our

Ready for Air: Welcome to a New Dawn for Aerial Autonomy Read More +

How to Represent Information: On Bayesian Bits, Qubits, and Hintons

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Before I joined Qualcomm Technologies Netherlands, computation was always a black box for me. I’d design an algorithm, code it up in some high-level programming language, run it, and it would simply work. Since then, I have

How to Represent Information: On Bayesian Bits, Qubits, and Hintons Read More +

Liquid Lens Autofocus vs Voice Coil Motor (VCM) Autofocus

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Autofocus is one of the key features required for many embedded vision applications. An autofocus camera module is typically used when the distance to the target object keeps varying during image capture. This requires the

Liquid Lens Autofocus vs Voice Coil Motor (VCM) Autofocus Read More +

Annual Computer Vision Developer Survey Now Open

Please help us gather a broad range of perspectives by participating in the Edge AI and Vision Alliance’s eighth annual Computer Vision Developer Survey.  You can take the 10-minute survey by clicking here. As thanks, you’ll receive $50 off the pass price for the Embedded Vision Summit, and you’ll be automatically entered in a drawing

Annual Computer Vision Developer Survey Now Open Read More +

Bigger is not Always Better: Exploiting Parallelism in Neural Network Hardware

This blog post was originally published at AImotive’s website. It is reprinted here with the permission of AImotive. When considering hardware platforms for executing high performance NNs (Neural Networks), automotive system designers frequently determine the total compute power by simply adding up each NN’s requirements. However, the approach usually leads to demands for a single

Bigger is not Always Better: Exploiting Parallelism in Neural Network Hardware Read More +

Use Case: Air Conditioner Piston Check

This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. With the growing use of computer vision in Industrial IoT (IIoT) and Industry 4.0 to analyze and detect defects, we were inspired to build an image recognition model that can classify images of AC pistons. Materials used

Use Case: Air Conditioner Piston Check 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