Today, the ability to analyze large volumes of data and extract valuable insights is crucial for businesses. JANUS, an innovative app suite, utilizes neural networks (NN) to reveal hidden patterns in data, providing a competitive edge.
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3D Infotech, a supplier of automated industrial metrology, has introduced an AI-driven inspection system at NVIDIA’s recent GTC
conference. 3D Infotech’s industrial automation software for quality control is designed to accelerate the enablement of AI-edge computing technology that is embedded in collaborative robots from Universal Robots.
General Motors and NVIDIA have announced they are collaborating on next-generation vehicles, factories and robots using AI, simulation and accelerated computing.
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Breakthrough powered by Vention’s proprietary intelligence and control technology relies on AI-ready hardware and foundational models from NVIDIA to process subtasks in this end-to-end process.
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aiomatic’s Predictive Maintenance software revolutionizes machine maintenance through artificial intelligence. It provides real-time insights into machine conditions, detects potential faults early, and optimizes maintenance processes.
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The new technology enables anyone to automatically create 3D models of replacement parts from 3D scan data, which can then be quickly manufactured via conventional means like CNC machining or 3D printing.
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Synthetic data is revolutionizing industrial machine vision by solving critical challenges allowing users to overcome data scarcity and reduce labor-intensive processes. Synthetic Data in industrial machine vision enables precise defect detection, infinite training images, and real-time adaptability for quality control systems.
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The PTB is now bundling its activities in a new competence center ‘AI and Metrology’ (KI-Met).
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Roboception has introduced ItemPickAI, an advanced AI-driven software designed to enhance robotic pick-and-place applications. This cutting-edge solution enables automated grasping and precise placement of ‘unseen’ objects—items that the system has not explicitly learned through pre-trained models or prior data.
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Optical sensor systems and 3D cameras with AI-powered algorithms scan labels with information on the manufacturer, product type and number, detect component types and locations, examine geometries and surfaces, assess the condition of fasteners, such as screws and rivets, and detect anomalies.
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