This video was originally published by Peridio. It is reprinted here with the permission of Peridio. In this episode of Beyond the Bench from Peridio, Bill Brock sits down with Ari Eisenstein, co-founder and CTO of Pickle Robotics. They discuss the evolution of robotics and AI, focusing on Pickle’s innovative approach to logistics automation. Ari […]
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. The orbital community has reached the same conclusions that the broader edge AI industry has been articulating for years: If moving the data is more expensive than moving the result, the processing belongs where the data was produced. The
When the Edge Is 400 Kilometers Up: AI, Space, and the Limits of Cloud Computing Read More +
At the 2026 Embedded Vision Summit, Boston AI CEO Peter Winston explores the latest advances shaping the future of AI. From intelligent agents to next-generation edge applications, he highlights how AI is evolving beyond task automation to become a more capable and collaborative partner within organizations. The video concludes with a look at emerging trends
Pulling Back the Curtain on a Smarter, More Connected AI Future Read More +
At the 2026 Embedded Vision Summit, Dan Daoguru shows an interactive, AI-aware smart mirror designed to redefine customer engagement. The Insight Mirror is not just a reflection; it is a fully integrated, intelligent AI companion capable of dynamic, voice-first conversations, open-vocabulary visual recognition, and presence-aware engagement. Built around a single high-performance C++20 application and
This content was originally published at HTEC’s website. It is reprinted here with the permission of HTEC. Physical AI at the Edge: Building the Full Stack for Real-World Deployment For years, AI progress was measured by model benchmark scores. The real test is different: does it work when deployed in a vehicle, a factory, a
At the 2026 Embedded Vision Summit, Luis Dussan and Adrian Kaehler show their system fusing real-time camera and LIDAR data at the edge to deliver precise spatial awareness without heavy cloud dependency or large data backhaul. Using an intuitive user interface, operators can visualize environments, interact with live data, and leverage an integrated AI agent
ILLIUM AI Demonstrates AI Machine Vision with LIDAR Precision Read More +
Amir Sherman, Head of Global Business Development at Peridio presents “From Chips to Platforms: Scaling Edge AI with SoMs, Production Linux and Secure Life-Cycle Ops” at the May 2026 Embedded Vision Summit. Edge AI has moved beyond choosing a single chip or platform. Teams now face a harder question: how… “From Chips to Platforms: Scaling
Mike Leonard, Software Architect at Quadric presents “Porting and Optimizing Advanced Vision-Language-Action Models for Embedded Autonomous Systems” at the May 2026 Embedded Vision Summit. World-scale vision-language-action (VLA) models are the new frontier in AI for autonomous driving and robotics, enabling systems to perceive, reason and act in complex real-world environments.… “Porting and Optimizing Advanced Vision-Language-Action
From the early days of the Internet of Things (IoT), connected devices have been highly effective at sensing and processing real-world inputs. But as AI workloads grow more demanding and real-time responsiveness becomes critical, the value is no longer in collecting data—it’s in acting on it instantly. This shift is pushing AI-native compute out of
Powering Edge AI at Scale: Synaptics Astra SRW1500 Series Single-Chip AI MCU Read More +
Kwabena Agyeman, Joseph Nelson, President at OpenMV presents “How to Train an AI Model Using Roboflow and Deploy to an MCU with an NPU” at the May 2026 Embedded Vision Summit. Running computer vision on microcontrollers is becoming practical thanks to MCUs that integrate NPUs, enabling low-latency inference with tight… “How to Train an AI
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