As large language models (LLMs) and vision language models (VLMs) have quickly become important for edge applications from smartphones to automobiles, chipmakers and IP providers have struggled with how to adapt processor software stacks. In this talk, Expedera’s Ram Tadishetti […]

True innovation in tiny machine learning (tinyML) emerges from a synergy between software ingenuity, real-world application insights and leading-edge processor IP. In this presentation, we will explore the process of integrating these elements to shape the design of our latest […]

The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system cost—but also brings significant challenges that complicate development. These challenges can be addressed effectively by choosing the right solution and design […]

In this talk, we introduce MPU+, a novel programmable, customizable low-power platform for real-time, localized intelligence at the edge. The platform includes an AI-augmented image signal processor that enables leading image and video quality. In addition, it integrates ultra-low-power object […]

In this session, we’ll introduce the OpenMV AE3 and OpenMV N6 low-power, high-performance embedded machine vision cameras, which are 200x better than our previous generation systems. We’ll show how you can run YOLO at 25 fps on the OpenMV AE3 […]

What occurs between the moment a commercial fishing vessel departs from shore and its return? How sustainable is its catch? Current frameworks often rely on self-reporting, which can result in errors or misrepresentation, particularly regarding bycatch. By equipping fishing vessels […]

In the fast-changing world of artificial intelligence, the industry is deploying more AI compute at the edge. But the growing diversity and data footprint of transformers and models like large language models and large multimodal models puts a spotlight on […]