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Artificial Intelligence involves the science and engineering of developing intelligent machines
The manufacturing world is at a cusp of a new revolution that will redefine conventional business models
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Our research seeks to connect-the-dots across multiple trends
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The TOEs are a great source of information which gives corporates critical information on companies to action for their strategic investments either as an open source platform or to collaborate and to develop successful products
Advanced Sensors, Artificial Intelligence and Machine Learning encourage AGV Development
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AGVS streamlines tasks in order fulfillment in logistics centers as well as improve safety in production lines. AGVs can perform more than material handling such as scanning barcodes and transferring the scanned data to the central cloud system. AGVs automate all the material handling tasks and remove the need for having workers to move materials with the operation facility. Therefore, investment in AGVs will increase the rate of ROI in 2 to 3 years. Large logistics companies accelerate ROI since these companies handle thousands of deliveries every day.AGV market is highly fragmented with many market leaders and startups. Partnerships between these two parties are quite common. For example, the developer of AGVs partnered with deep tech startups to enhance the functionalities of AGVS. Advanced AGVs use both sensors and AI to autonomously navigate in the facility without human guidance.
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Neuromorphic Computing: Opportunity Analysis
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Artificial Intelligence in the Global Homes & Buildings Industry, Forecast to 2030
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