IOT Tech

• How edge computing is changing machinery management

  Industrial IoT deployments have traditionally focused on asset tracking and machine data collection through sensors and connected devices. These systems rely on technologies such as GPS, Bluetooth Low Energy (BLE), RFID, and industrial sensors to collect data on location, vibration, temperature, and equipment utilisation hours. Industrial IoT forms a core component of Industry 4.0 initiatives, […]

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• Boston Dynamics Spot uses DeepMind for machinery inspections

  Boston Dynamics is injecting Google DeepMind intelligence into its Spot robot platform for improved autonomous machinery inspections. To give the hardware autonomous reasoning capabilities tailored specifically for heavy industry, Boston Dynamics partnered with Google Cloud and Google DeepMind to integrate Gemini and Gemini Robotics ER 1.6 into Orbit AIVI-Learning, delivering a more sophisticated, intuitive, and […]

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• Gartner: Half of new warehouses will be ‘human-optional’ by 2030

  By 2030, Gartner expects robot-centric warehouse facilities driven by AI orchestration will account for half of new builds in developed logistics markets. In these modern builds, human presence is entirely optional. Rising wages and a shrinking pool of available candidates exert heavy pressure on logistics networks for the majority of the calendar year. Compounding this […]

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• Wendy OS: Physical AI for the manufacturing edge in minutes

  The open-source Wendy OS aims to scale physical AI across manufacturing edge networks in minutes, not months. Behind the modern factory’s automated guided vehicles and vision sensors, plant managers routinely face configuration delays when connecting local machine intelligence to broader supply chain infrastructure. The process of taking a proof-of-concept AI model and deploying it across […]

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• Visual-Language-Action mechanisms in next-gen AI for IIoT

  The newest physical AI systems can inspect their environment, connect what they see to a goal, and adjust behaviour in response. This ability is termed Vision-Language-Action by Capgemini, who expanded on the subject in a recent blog post. VLA links perception and action in an operational loop, the company states. Visual Language Models give AI […]

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