Industrial AI & Machine Lear1ing
 
Embedded Systems with Artificial Intelligence
CHRISTOPH WAGNER, MVTEC SOFTWARE
Current technological trends such as Industry 4.0 (aka the Industrial Internet of Things) and the smart factory are changing industrial value creation processes at a profound level, characterized by a higher degree of digitization, connectivity, and automation. All involved components, including machines, robots, transfer and handling systems, sensors, and image acquisition devices, are consistently networked and communicate with one another via a variety of protocols.
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In my first blog, I discussed data?s role in building a predictive maintenance model across five core development stages, and the challenges that arise when engineers are not educated on a systematic predictive maintenance workflow.
 
 
NEWS
 
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AIStorm launched a set of real-time AI-in-sensor solutions for mobile handsets, IoT, and advanced driver-assistance systems (ADAS).
 
 
 
 
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Embedded Computing Design's Alix Paultre speaks with Patrik Stocks from innodisk at Embedded World 2019 booth #1-261.
 
 
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Embedded Computing Design's Brandon Lewis talks to Susan Polizzotto of Qualcomm at Embedded World booth #4A-330.
 
 
 
 
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Embedded Computing Design's Rich Nass talks to Mory Lin of Super Micro at Embedded World booth #3A-510.
 
 
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Embedded Computing Design's Rich Nass talks with Thomas Ensergueix of arm at Embedded World booth #4-140.
 
 
 
 
 
 
Sponsored by: Texas Instruments
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