In this talk, we will explore the use of multimodal large language models in real-world edge applications. We will begin by explaining how these large multimodal models (LMMs) work and highlighting their key components, giving special attention to how LMMs […]
In this talk, the Caper team will explore deploying an embedded computer vision model on Android devices for real-time product classification with the goal of increased customer satisfaction during shopping. We will dive into the details of achieving real-time inference […]
As demand rises for vision capabilities in robotics, virtual/augmented reality, drones and automotive, there’s a growing need for systems to incorporate multiple cameras. However, the limited number of camera interfaces on SoCs poses a challenge. In this presentation, we will […]
Offloading processing to accelerators enables embedded vision systems to process workloads that exceed the capabilities of CPUs. However, parallel processors adds complexity as workloads must be distributed and synchronized across processing resources. Proven open standard APIs and languages can significantly […]
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 on optical surfaces can wreak havoc on machine perception algorithms. In this talk, we […]
From autonomous driving to immersive shopping, and from enhanced video collaboration to graphic design, AI is placing a wealth of possibilities at our fingertips. However, AI comes with vulnerabilities, which can result in costly mishaps. In this talk, we will […]
In this talk, Dr. Rebecca Li will explore the comprehensive approach Adobe has taken to mitigate harm and bias for Firefly, Adobe’s groundbreaking AI art generation tool, integrating AI ethics across all development stages. From design to deployment, Firefly prioritizes […]
In this talk, we present recent work on AI Guide Dog, a groundbreaking research project aimed at providing navigation assistance for the blind community. This multiyear project at Carnegie Mellon University leverages AI to predict sighted human reactions in real […]
Blue River Technology, a subsidiary of John Deere, uses computer vision and deep learning to build intelligent machines that help farmers grow more food more efficiently. By enabling robots to tell the difference between crops and weeds and then only […]
Most complex sensor systems begin with a simple goal—ensuring safety and efficiency. Whether it’s avoiding collisions between vehicles or predicting future actions, the essence remains the same: can we control, predict and mitigate risks effectively? While stating this goal is […]
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