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Practical AI and computer vision technology is being developed for systems that span virtually every application, and many of these application areas will experience huge growth rates. With trendsetting products demonstrating what is possible, system designers have discovered that the suppliers of computer vision technology have removed the barriers to building practical computer vision systems—unleashing a huge wave of innovation for new products and applications.
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Bolom Sound Classification on Cadence Tensilica HiFi 5
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
When the Edge Is 400 Kilometers Up: AI, Space, and the Limits of Cloud Computing
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
Pulling Back the Curtain on a Smarter, More Connected AI Future
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
Insight Mirror: The mirror that sees you. The mirror that knows you. The mirror that talks back.
At the 2026 Embedded Vision Summit, Dan Daogaru 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 fully
HTEC White Paper Outlines the Convergence of Edge AI, Semiconductor Software, and Autonomous Systems
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
ILLIUM AI Demonstrates AI Machine Vision with LIDAR Precision
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
Powering the Next Generation of NVIDIA AI Factories with MGX
This blog post was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. As AI workloads accelerate, the shift toward AI factories are driving unprecedented rack-level power density. At the center of this transition is NVIDIA MGX™, an open modular architecture that enables faster system design, improved scalability and rapid
Optimizing Warehousing Efficiency: Arducam’s Custom Barcode Scanning Solution for Smart Forklifts
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
SiMa.ai and Mistral Solutions, a subsidiary of AXISCADES, Partner to Accelerate Autonomous Drone Intelligence
Joint reference design combines Mistral’s embedded systems expertise with SiMa.ai’s Physical AI platform to deliver the fastest path to autonomous drone deployment. SAN JOSE, Calif. (June 23, 2026) and NEW DELHI (June 24, 2026) — SiMa.ai, a leader in Physical AI, and Mistral Solutions, a leader in embedded systems and drone product engineering, today announced a
BrainChip Unveils Communication Reference Platform, Fueling Signal Intelligence at the Edge
LAGUNA HILLS, Calif. – June 23, 2026 – BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, BCHPY), the first commercial producer of neuromorphic artificial intelligence technology, today announced the Akida Communication Reference Platform, a physical development platform for RF signal classification using BrainChip’s Akida AKD1500 neuromorphic processor. The platform is a critical tool for defense contractors and government agencies
