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 […]
Mauricio Greene of Bolom demonstrates real-time Sound Classification running on the Cadence Tensilica HiFi 5 DSP at the Embedded Vision Summit. Bolom Acoustic Intelligence edge models identify hundreds of distinct sound events and soundscape scenes – such as sirens, alarms, horns, traffic and more, fully on-device and without relying on the cloud. The Tensilica HiFi
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This blog post was originally published at Arducam’s website. It is reprinted here with the permission of Arducam. In the rapid evolution of smart warehousing, the forklift has transformed from a simple lifting machine into a sophisticated mobile data hub. For an Automated Identification Solutions provider, the challenge isn’t just about “taking a picture” of a barcode; it’s
This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. An AI-driven gadget that acts on a drifting signal doesn’t know it’s wrong. It just acts—confidently, precisely, and in the wrong direction. Confidence without accuracy isn’t intelligence. It’s a liability. The gap between what a system is told
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This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In part 1 of this series, you explored why multi-robot autonomous mapping is becoming essential for large-scale facilities and what the core components of a modern multi-robot mapping system are. But knowing what a system should
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As AI moves into vehicles, appliances and industrial systems, the next challenge is scaling physical intelligence safely, reliably and in real-world conditions This article was originally published at HCLTech’s website. It is reprinted here with the permission of HCL Tech. Key takeaways Physical AI is reaching an inflection point as intelligence moves into real-world systems
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On June 23, 2026, at 8:00 am PDT (11:00 am EDT / 17:00 CEST) STMicroelectronics, eInfochips and Arrow will deliver a webinar “A Prevalidated AMR Reference Platform for Faster Industrial Robotics Development” From the event page: STMicroelectronics and Arrow Electronics are introducing a new industrial autonomous mobile robot (AMR) reference platform built to help teams
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On July 25, 2026, at 1:00 pm PDT (4:00 pm EDT) Lattice Semiconductor will deliver a webinar “The Future of Robotics: Real-Time Perception, Edge AI, & the Role of FPGAs” From the event page: As robotics systems evolve from traditional automation to intelligent, perception-driven platforms, new architectural considerations are emerging around real-time sensing, data processing,
Upcoming Webinar on Real-Time Perception and the Role of FPGAs Read More +
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
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. For years, facility digitization has relied on a single, expensive robot slowly traversing every corridor of a warehouse, laboratory, or industrial plant. While effective, this approach is linear, which clashes with the fact that facilities are
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