Quality training data – especially segmented visual data – is a cornerstone of building robust vision models. Meta’s recently announced Segment Anything Model 3 (SAM3) arrives as a potential game-changer in this domain. SAM3 is a unified model that can detect, segment, and even track objects in images and videos using both text and visual […]
SAM3: A New Era for Open‑Vocabulary Segmentation and Edge AI Read More +
This blog post was originally published at Gimlet Labs’ website. It is reprinted here with the permission of Gimlet Labs. We’re excited to finally share what we’ve been building at Gimlet Labs. Our mission is to make AI workloads 10X more efficient by expanding the pool of usable compute and improving how it’s orchestrated. Over the
Introducing Gimlet Labs: AI Infrastructure for the Agentic Era Read More +
Proven MLOps Platform for Spatial Perception at the Edge Now Available CALGARY, AB – November 19, 2025 – Au-Zone Technologies today expands general access to EdgeFirst Studio™, the enterprise MLOps platform purpose-built for Spatial Perception at the Edge for machines and robotic systems operating in dynamic and uncertain environments. After six months of successful
Au-Zone Technologies Expands EdgeFirst Studio Access Read More +
This blog post was originally published at MIPI Alliance’s website. It is reprinted here with the permission of MIPI Alliance. As embedded audio systems continue to evolve across consumer electronics, automotive and industrial applications, so does the demand to deliver advanced features—such as far-field voice recognition, spatial audio and “always-on” AI-driven audio processing—within increasingly compact, power-sensitive devices
Reimagining Embedded Audio: MIPI SWI3S Is a Game Changer Read More +
This blog post was originally published at NXP Semiconductors’ website. It is reprinted here with the permission of NXP Semiconductors. Smarter Perception at the Edge Dusty construction sites. Fog-covered fields. Crowded warehouses. Heavy rain. Uneven terrain. What does it take for an autonomous machine to perceive and navigate challenging real-world environments like these – reliably, in
Enabling Autonomous Machines: Advancing 3D Sensor Fusion With Au-Zone Read More +
This blog post was originally published at Synaptics’ website. It is reprinted here with the permission of Synaptics. Openness across software, standards, and silicon is critical for ensuring interoperability, flexibility, and the growth of AI at the edge AI continues to migrate towards the edge and is no longer confined to the datacenter. Edge AI brings
Why Openness Matters for AI at the Edge Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. ExecuTorch 1.0, an open source solution to training and inference on the Edge, becomes available to all developers Qualcomm Technologies contributed the ExecuTorch repository for developers to access Qualcomm® Hexagon™ NPU directly This streamlines the developer workflow
Bringing Edge AI Performance to PyTorch Developers with ExecuTorch 1.0 Read More +
Delivers 629 TOPs processing power for multi-modal AI applications from the edge to the data center. Eindhoven, NL – October 21, 2025 – Axelera AI, the leading provider of purpose-built AI hardware acceleration technology, today announced Europa™, an AI processor unit (AIPU) that sets a new performance/price standard for multi-user generative AI and computer vision applications.
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. At the ROSCon robotics conference, NVIDIA announced contributions to the ROS 2 robotics framework and the Open Source Robotics Alliance’s new Physical AI Special Interest Group, as well as the latest release of NVIDIA Isaac ROS. This
NVIDIA Contributes to Open Frameworks for Next-generation Robotics Development Read More +
This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. Accelerating LiDAR Point Cloud with BrainChip’s Akida™ PointNet++ Model. LiDAR (Light Detection and Ranging) technology is the key enabler for advanced Spatial AI—the ability of a machine to understand and interact with the physical world in three
Unleash Real-time LiDAR Intelligence with BrainChip Akida On-chip AI Read More +
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