Industrial AI & MACHINE LEARNING
 

Friday 3/20

 
Artificial intelligence and machine learning in data analytics make it possible to connect data to obtain insights on consumers, expand their business, and optimize the quality and speed of logistics. Before we look into how these technologies benefit an organization, let?s understand the various types of analytics first.
 
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In today?s world, AI is not a mysterious term, but rather a real business solution. This is the trend that is now driving many solutions across industries. From retail to industrial sector, AI-powered technologies open new possibilities and business models.
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AI and the AIoT are changing the rules of the game. Now, decisions can be made at the Edge rather than in the Cloud. In most cases, the decisions are made quicker, because there is no delay because data remains at the Edge. And in many cases, the decisions are just as accurate as the Cloud-based decisions.
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The kit functions as a reference implementation and was built using cloud, industrial-grade edge software, and hardware. It simplifies the creation of products in industries such as industrial automation, agriculture, medical equipment, and more.
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Eta Compute announced it has made the first shipment of production silicon for its ECM3532, a multicore AI processor for embedded sensor applications. The device features the company's patented Continuous Voltage Frequency Scaling (CVFS) technology and has a power consumption of mere microwatts.
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Compared to traditional PLL-based synthesizers, NCOs and DDSs are mostly known for their very fine frequency resolution, fast agility, and ease of sine/ cosine generation with perfect quadrature. Their principle of operation is governed by digital signal processing and sampling systems theory, and their digital nature allows for fully digital and independent control of the phase, frequency, and amplitude of the output signals.
 
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