Algorithms

“Improved Navigation Assistance for the Blind via Real-time Edge AI,” a Presentation from Tesla

Aishwarya Jadhav, Software Engineer in the Autopilot AI Team at Tesla, presents the “Improved Navigation Assistance for the Blind via Real-time Edge AI,” tutorial at the May 2024 Embedded Vision Summit. In this talk, Jadhav presents recent work on AI Guide Dog, a groundbreaking research project aimed at providing navigation… “Improved Navigation Assistance for the […]

“Improved Navigation Assistance for the Blind via Real-time Edge AI,” a Presentation from Tesla Read More +

Qualcomm Announces Multi-year Strategic Collaboration with Google to Deliver Generative AI Digital Cockpit Solutions

Highlights: Qualcomm and Google will leverage Snapdragon Digital Chassis and Google’s in-vehicle technologies to produce a standardized reference framework for development of generative AI-enabled digital cockpits and software-defined vehicles (SDV). Qualcomm to lead go-to-market efforts for scaling and customization of joint solution with the broader automotive ecosystem. Companies’ collaboration demonstrates power of co-innovation, empowering automakers

Qualcomm Announces Multi-year Strategic Collaboration with Google to Deliver Generative AI Digital Cockpit Solutions Read More +

Flux and Furious: New Image Generation Model Runs Fastest on RTX AI PCs and Workstations

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Black Forest Labs’ latest models generate high-quality images and are highly performant on NVIDIA RTX GPUs. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and

Flux and Furious: New Image Generation Model Runs Fastest on RTX AI PCs and Workstations Read More +

“Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics,” a Presentation from Sportlogiq

Mehrsan Javan, Chief Technology Officer at Sportlogiq, presents the “Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics” tutorial at the May 2024 Embedded Vision Summit. At a high level, sport analytics systems can be broken into two components: sensory data collection and analytical models that turn sensory… “Using Vision Systems, Generative Models

“Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics,” a Presentation from Sportlogiq Read More +

Exploring the Next Frontier of AI: Multimodal Systems and Real-time Interaction

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Discover the state of the art in large multimodal models with Qualcomm AI Research In the realm of artificial intelligence (AI), the integration of senses — seeing, hearing and interacting — represents a frontier that is rapidly

Exploring the Next Frontier of AI: Multimodal Systems and Real-time Interaction Read More +

“Diagnosing Problems and Implementing Solutions for Deep Neural Network Training,” a Presentation from Sensor Cortek

Fahed Hassanat, COO and Head of Engineering at Sensor Cortek, presents the “Deep Neural Network Training: Diagnosing Problems and Implementing Solutions” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Hassanat delves into some of the most common problems that arise when training deep neural networks. He provides… “Diagnosing Problems and Implementing Solutions

“Diagnosing Problems and Implementing Solutions for Deep Neural Network Training,” a Presentation from Sensor Cortek Read More +

Smart Glasses for the Consumer Market

There are currently about 250 companies in the head mounted wearables category and these companies in aggregate have received over $5B in funding. $700M has been invested in this category just since the beginning of the year. On the M&A front, there have already been a number of significant acquisitions in the space, notably the

Smart Glasses for the Consumer Market Read More +

Orchestrating Innovation at Scale with NVIDIA Maxine and Texel

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The NVIDIA Maxine AI developer platform is a suite of NVIDIA NIM microservices, cloud-accelerated microservices, and SDKs that offer state-of-the-art features for enhancing real-time video and audio. NVIDIA partners use Maxine features to create better virtual interaction

Orchestrating Innovation at Scale with NVIDIA Maxine and Texel Read More +

“Transformer Networks: How They Work and Why They Matter,” a Presentation from Ryddle AI

Rakshit Agrawal, Co-Founder and CEO of Ryddle AI, presents the “Transformer Networks: How They Work and Why They Matter” tutorial at the May 2024 Embedded Vision Summit. Transformer neural networks have revolutionized artificial intelligence by introducing an architecture built around self-attention mechanisms. This has enabled unprecedented advances in understanding sequential… “Transformer Networks: How They Work

“Transformer Networks: How They Work and Why They Matter,” a Presentation from Ryddle AI Read More +

“Removing Weather-related Image Degradation at the Edge,” a Presentation from Rivian

Ramit Pahwa, Machine Learning Scientist at Rivian, presents the “Removing Weather-related Image Degradation at the Edge” tutorial at the May 2024 Embedded Vision Summit. For machines that operate outdoors—such as autonomous cars and trucks—image quality degradation due to weather conditions presents a significant challenge. For example, snow, rainfall and raindrops… “Removing Weather-related Image Degradation at

“Removing Weather-related Image Degradation at the Edge,” a Presentation from Rivian 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