Software for Embedded Vision
Optimizing the CV Pipeline in Automotive Vehicle Development Using the PVA Engine
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In the field of automotive vehicle software development, more large-scale AI models are being integrated into autonomous vehicles. The models range from vision AI models to end-to-end AI models for autonomous driving. Now the demand for computing
“How Large Language Models Are Impacting Computer Vision,” a Presentation from Voxel51
Jacob Marks, Senior ML Engineer and Researcher at Voxel51, presents the “How Large Language Models Are Impacting Computer Vision” tutorial at the May 2024 Embedded Vision Summit. Large language models (LLMs) are revolutionizing the way we interact with computers and the world around us. However, in order to truly understand… “How Large Language Models Are
“Implementing AI/Computer Vision for Corporate Security Surveillance,” a Presentation from VMware
Prasad Saranjame, former Head of Physical Security and Resiliency at VMware, presents the “Implementing AI/Computer Vision for Corporate Security Surveillance” tutorial at the May 2024 Embedded Vision Summit. AI-enabled security cameras offer substantial benefits for corporate security and operational efficiency. However, successful deployment requires thoughtful selection of use cases and… “Implementing AI/Computer Vision for Corporate
“Continual Learning thru Sequential, Lightweight Optimization,” a Presentation from Vision Elements
Guy Lavi, Managing Partner at Vision Elements, presents the “Continual, On-the-fly Learning through Sequential, Lightweight Optimization” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Lavi shows how techniques of sequential optimization are applied to enable continual learning during run-time, as new observations flow in. The lightweight nature… “Continual Learning thru Sequential, Lightweight
Qualcomm and Mistral AI Partner to Bring New Generative AI Models to Edge Devices
Highlights: Qualcomm announces collaboration with Mistral AI to bring Mistral AI’s models to devices powered by Snapdragon and Qualcomm platforms. Mistral AI’s new state-of-the-art models, Ministral 3B and Ministral 8B, are being optimized to run on devices powered by the new Snapdragon 8 Elite Mobile Platform, Snapdragon Cockpit Elite and Snapdragon Ride Elite, and Snapdragon
Why Qualcomm AI Orchestrator is the Key to Next Generation AI Experiences
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The software will help facilitate your personal preferences, apps and gen AI models to work together and provide revolutionary on-device AI capabilities In the rapidly evolving landscape of generative artificial intelligence (AI) and how we interact with
“Multi-object Tracking Systems,” a Presentation from Tryolabs
Javier Berneche, Senior Machine Learning Engineer at Tryolabs, presents the “Multiple Object Tracking Systems” tutorial at the May 2024 Embedded Vision Summit. Object tracking is an essential capability in many computer vision systems, including applications in fields such as traffic control, self-driving vehicles, sports and more. In this talk, Berneche… “Multi-object Tracking Systems,” a Presentation
“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
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
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
“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
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
“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
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
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
“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
“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
“Seeing the Invisible: Unveiling Hidden Details through Advanced Image Acquisition Techniques,” a Presentation from Qualitas Technologies
Raghava Kashyapa, CEO of Qualitas Technologies, presents the “Seeing the Invisible: Unveiling Hidden Details through Advanced Image Acquisition Techniques” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Kashyapa explores how advanced image acquisition techniques reveal previously unseen information, improving the ability of algorithms to provide valuable insights.… “Seeing the Invisible: Unveiling Hidden
