Software

The Need for Continuous Training in Computer Vision Models

This blog post was originally published at Plainsight Technologies’ website. It is reprinted here with the permission of Plainsight Technologies. A computer vision model that works under one lighting condition, store layout, or camera angle can quickly fail as conditions change. In the real world, nothing is constant, seasons change, lighting shifts, new objects appear and […]

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Why Openness Matters for AI at the Edge

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

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Bringing Edge AI Performance to PyTorch Developers with ExecuTorch 1.0

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

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NVIDIA Contributes to Open Frameworks for Next-generation Robotics Development

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

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Unleash Real-time LiDAR Intelligence with BrainChip Akida On-chip AI

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

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NVIDIA Blackwell: The Impact of NVFP4 For LLM Inference

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. With the introduction of NVFP4—a new 4-bit floating point data type in NVIDIA’s Blackwell GPU architecture—LLM inference achieves markedly improved efficiency. Blackwell’s NVFP4 format (RTX PRO 6000) delivers up to 2× higher LLM inference efficiency

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Don’t Give Your Business Data to AI Companies

This blog post was originally published at Plainsight Technologies’ website. It is reprinted here with the permission of Plainsight Technologies. I have joined Plainsight Technologies as CEO to do something radical: not steal your data. Vision is our most powerful sense. We navigate the world, recognize faces, assess our surroundings, operate vehicles, and make split-second

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NanoEdge AI Studio v5, the First AutoML Tool with Synthetic Data Generation

This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. NanoEdge AI Studio v5 is the first AutoML tool for STM32 microcontrollers capable of generating anomaly data out of typical logs, thanks to a new feature we call Synthetic Data Generation. Additionally, the latest version makes it

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“Three Big Topics in Autonomous Driving and ADAS,” an Interview with Valeo

Frank Moesle, Software Department Manager at Valeo, talks with Independent Journalist Junko Yoshida for the “Three Big Topics in Autonomous Driving and ADAS” interview at the May 2025 Embedded Vision Summit. In this on-stage interview, Moesle and Yoshida focus on trends and challenges in automotive technology, autonomous driving and ADAS.… “Three Big Topics in Autonomous

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Task-specific AI vs Generic LLMs: Why Precision and Reliability Matter

This blog post was originally published at Rapidflare’s website. It is reprinted here with the permission of Rapidflare. Task-specific AI is redefining what’s possible in mission-critical industries. While generic large language models (LLMs) like ChatGPT excel at broad conversations, they often struggle with accuracy, consistency, and domain-specific context. In sectors where precision and reliability are

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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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