Sreepada Hegade, Director of ML Systems and Software at Lattice Semiconductor, presents the “Why It’s Critical to Have an Integrated Development Methodology for Edge AI” tutorial at the May 2025 Embedded Vision Summit. The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system cost—but also brings […]
Amol Borkar, Product Marketing Director at Cadence, presents the “Solving Tomorrow’s AI Problems Today with Cadence’s Newest Processor” tutorial at the May 2025 Embedded Vision Summit. Artificial intelligence is rapidly integrating into every aspect of technology. While the neural processing unit (NPU) often receives the majority of the spotlight as the ultimate AI problem solver,
Tony Lewis, Chief Technology Officer at BrainChip, presents the “State-space Models vs. Transformers for Ultra-low-power Edge AI” tutorial at the May 2025 Embedded Vision Summit. At the embedded edge, choices of language model architectures have profound implications on the ability to meet demanding performance, latency and energy efficiency requirements. In this presentation, Lewis contrasts state-space
Ning Bi, Vice President of Engineering at Qualcomm Technologies, presents the “How Qualcomm Is Powering AI-driven Multimedia at the Edge” tutorial at the May 2025 Embedded Vision Summit. In this talk, Bi explores the evolution of multimedia processing at the edge, from simple early use cases such as audio and video processing powered by algorithm-centric
Marcel Wouters, Senior Software Engineer at Network Optix, presents the “Rapid Development of AI-powered Embedded Vision Solutions—Without a Team of Experts” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Wouters shows how developers new to AI can quickly and easily create embedded vision solutions that extract valuable information from camera streams. He
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “OAAX: One Standard for AI Vision on Any Compute Platform” tutorial at the May 2025 Embedded Vision Summit. OAAX, an open accelerator compatibility standard being developed under the Linux Foundation AI & Data project, is key to making AI vision truly hardware-agnostic.
Pete Warden, CEO of Useful Sensors, presents the “Deploying Large Language Models on a Raspberry Pi,” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Warden outlines the key steps required to implement a large language model (LLM) on a Raspberry Pi. He begins by outlining the motivations for running LLMs on the
“Deploying Large Language Models on a Raspberry Pi,” a Presentation from Useful Sensors Read More +
Deepak Mital, Senior Director of Architectures at Synaptics, presents the “How to Run Audio and Vision AI Algorithms at Ultra-low Power” tutorial at the May 2024 Embedded Vision Summit. Running AI algorithms on battery-powered, low-cost devices requires a different approach to designing hardware and software. The power requirements are stringent at standby, but the device
Aman Sikka, Chief Architect at Quadric, presents the “Meeting the Critical Needs of Accuracy, Performance and Adaptability in Embedded Neural Networks” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Sikka explores the challenges of accuracy and performance when implementing quantized machine learning inference algorithms on embedded systems. He explains how the thoughtful
Dan Mihai Dumitriu, Chief Technology Officer at Midokura, a Sony Group company, presents the “Build a Tiny Vision Application in Minutes with the Edge App SDK” tutorial at the May 2024 Embedded Vision Summit. In the fast-paced world of embedded vision applications, moving rapidly from concept to deployment is crucial. In this presentation, Dumitriu introduces
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