Summit

“Always-On Edge Perception Via a Heterogeneous Near-Memory AI Architecture,” a Presentation from FotoNation

Petronel Bigioi, CEO at FotoNation presents “Always-On Edge Perception Via a Heterogeneous Near-Memory AI Architecture” at the May 2026 Embedded Vision Summit. Always-on perception is becoming a defining capability of next-generation edge devices, from AR glasses and hearables to battery-operated sensors. Yet continuous audio/video and motion understanding runs into two… “Always-On Edge Perception Via a […]

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“From Compute-Bound to Memory-Bound: Edge AI Architectures for VLMs,” a Presentation from Expedera

Athish Rahul Rao, Staff Software Engineer at Expedera presents “From Compute-Bound to Memory-Bound: Edge AI Architectures for VLMs” at the May 2026 Embedded Vision Summit. Today’s edge AI hardware was built for CNNs, but vision language models (VLMs) have completely different bottlenecks—especially in safety-critical, latency-sensitive applications like in-cabin automotive intelligence.… “From Compute-Bound to Memory-Bound: Edge

“From Compute-Bound to Memory-Bound: Edge AI Architectures for VLMs,” a Presentation from Expedera Read More +

“Navigating Physical AI Deployment Across Multiple Platforms for Automated Optical Inspection,” a Presentation from eInfochips (an Arrow company)

Barrie Mullins, Assistant Vice President at eInfochips (an Arrow company) presents “Navigating Physical AI Deployment Across Multiple Platforms for Automated Optical Inspection” at the May 2026 Embedded Vision Summit. As automated optical inspection moves from the server room to the factory floor, the promise of “seamless” AI deployment often hits… “Navigating Physical AI Deployment Across

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“One Silicon, Two Worlds: NPU Optimization for Autoregressive and Diffusion Transformers,” a Presentation from VeriSilicon

Shang-Hung Lin, Vice President of NPU Technology at VeriSilicon presents “One Silicon, Two Worlds: NPU Optimization for Autoregressive and Diffusion Transformers” at the May 2026 Embedded Vision Summit. Physical AI is caught between two computational titans: autoregressive (AR) transformers, which predict discrete action tokens, and diffusion transformers (DiTs), which refine… “One Silicon, Two Worlds: NPU

“One Silicon, Two Worlds: NPU Optimization for Autoregressive and Diffusion Transformers,” a Presentation from VeriSilicon Read More +

“Why Edge Vision Models Keep Breaking—and What Complete Training Data Changes,” a Presentation from Synetic

David Scott, Founder and CEO at Synetic presents “Why Edge Vision Models Keep Breaking—and What Complete Training Data Changes” at the May 2026 Embedded Vision Summit. Most edge vision deployments fail not because of model architecture, but because real-world training data is structurally incomplete. Sampled data can’t cover combinatorial edge… “Why Edge Vision Models Keep

“Why Edge Vision Models Keep Breaking—and What Complete Training Data Changes,” a Presentation from Synetic Read More +

“How Qualcomm Is Making Computer Vision Accessible Across Edge Verticals,” a Presentation from Qualcomm Technologies, Inc.

Derrick Chang, Senior Product Manager at Qualcomm Technologies, Inc. presents “How Qualcomm Is Making Computer Vision Accessible Across Edge Verticals” at the May 2026 Embedded Vision Summit. Computer vision at the edge is no longer limited by algorithms; it is constrained by power, latency, system complexity and deployment friction across… “How Qualcomm Is Making Computer

“How Qualcomm Is Making Computer Vision Accessible Across Edge Verticals,” a Presentation from Qualcomm Technologies, Inc. Read More +

“Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform,” a Presentation from Qualcomm Technologies, Inc.

Olivier Bloch, Director of Developer Relations at Qualcomm Technologies, Inc. presents “Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform” at the May 2026 Embedded Vision Summit. Scaling physical AI breaks at production: prototypes work, then teams rewrite everything for incompatible SDKs, models and control stacks. The core issue is… “Democratizing Physical AI: Arduino’s Open

“Democratizing Physical AI: Arduino’s Open Door to Qualcomm’s Platform,” a Presentation from Qualcomm Technologies, Inc. Read More +

“Edge AI and Vision in Robotics: From Benchmarks to Fleet-Scale Reality,” an Expert Panel

Dave Tokic, Vice President of Corporate Development at Torc Robotics moderates the “Edge AI and Vision in Robotics: From Benchmarks to Fleet-Scale Reality” expert panel at the May 2026 Embedded Vision Summit. Other panelists include Vlad Branzoi, Perception Sensors Team Lead and Senior Staff Engineer at Agility Robotics, Bob Kunz,… “Edge AI and Vision in

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“From Prototype to Production: What Computer Vision Teams Wish They Knew at 100 Devices,” a Presentation from Peridio

Justin Schneck, Co-Founder and CTO at Peridio presents “From Prototype to Production: What Computer Vision Teams Wish They Knew at 100 Devices” at the May 2026 Embedded Vision Summit. Your computer vision prototype works beautifully: USB camera on a Jetson dev kit, software humming, investors impressed. Production isn’t that convenient.… “From Prototype to Production: What

“From Prototype to Production: What Computer Vision Teams Wish They Knew at 100 Devices,” a Presentation from Peridio Read More +

“Enabling “GenAI Everywhere”: Flexible Model Compatibility and Insight-Driven Workflows,” a Presentation from Nota AI

Tae-Ho Kim, Co-Founder and CTO at Nota AI presents “Enabling “GenAI Everywhere”: Flexible Model Compatibility and Insight-Driven Workflows” at the May 2026 Embedded Vision Summit. As generative AI models rapidly evolve—with increasingly dynamic transformer architectures and diverse framework variations—the challenge of bringing these models to the edge has grown dramatically.… “Enabling “GenAI Everywhere”: Flexible Model

“Enabling “GenAI Everywhere”: Flexible Model Compatibility and Insight-Driven Workflows,” a Presentation from Nota AI Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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