In this talk, we introduce a cutting-edge approach to detecting and mitigating interference in 4G/5G wireless networks using vision-based models. Our innovative solution leverages machine learning and computer vision techniques to detect interference in real time, addressing a significant challenge […]

ADAS (advanced-driver assistance systems) software has historically been tightly bound to the underlying system-on-chip (SoC). This software, especially for visual perception, has been extensively optimized for specific SoCs and their dedicated accelerators. In this talk, we explain the historic reasons […]

Vision-language models (VLMs) have the potential to revolutionize various applications, but their performance can be improved through fine-tuning and customization. In this presentation, we will explore the concept and share insights on domain adaptation for VLMs. We will discuss the […]

In this session, we explore the use of hybrid CNN-transformer architectures and CLIP models for highlight detection and semantic search from fish-eye video captures. We focus on leveraging a vision transformer (ViT) for video indexing, moment retrieval and identifying photogenic […]

In this session we describe our work developing software for a custom camera system based on GStreamer. The BRIAR project requires high-quality video capture at distances over 400m for biometric recognition and identification, but commercial cameras struggle to capture high-quality […]

Accelerating machine learning and AI workloads often requires specialized hardware, but managing compatibility across diverse platforms can be challenging. The Khronos Group provides the industry’s only suite of nonproprietary API and language standards for ML and AI acceleration, enabling developers […]

The deployment of large language models (LLMs) in resource-constrained environments is challenging due to the significant computational and memory demands of these models. To address this challenge, various quantization techniques have been proposed to reduce the model’s resource requirements while […]

‌In the dynamic world of machine learning, efficiently scaling solutions from research to production is crucial. In this session, we explore the nuances of scaling machine learning pipelines, emphasizing the role of containerization in improving reproducibility, portability and scalability. Key […]

Ego vision technology is revolutionizing the capabilities of smart eyewear, enabling applications that understand user actions, estimate human pose and provide spatial awareness through simultaneous localization and mapping (SLAM). This presentation will dive into the latest advancements in deploying these […]