Industrial AI & Machine Lear1ing
 
Five Minutes With?Jonathan Luse, GM, IoT Group, Intel
RICH NASS, OSM BRAND DIRECTOR
Artificial intelligence is supposed to make your life easier, whether it?s in a consumer setting or an industrial environment. Edge computing, which is the on-premise compute component, is growing in its potential, and now classifies fully independent, intelligent autonomous platforms.
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As more embedded devices are installed, edge computing ? or computing closer to data generation by sensors, PLCs, cameras, etc. ? is taking center stage in today?s IoT era. Edge computing, which becomes necessary due to latency, security, and bandwidth/cost issues, requires efficient data processing at or near the source of data generation, which happens to be those sensors or embedded devices.
 
 
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Artificial intelligence (AI) is a tremendous accelerant to edge computing and the Internet of Things. IoT deployments are demanding far more intelligence at the edge to solve business problems. This requires that insights be generated and acted upon at the data source to reduce latency, improve real-time responses, and relieve network bandwidth demands.
 
 
 
 
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Deploying vision capabilities on edge platforms requires difficult tradeoffs between latency, throughput, memory footprint, communication bandwidth, power, and cost. Luckily, there?s an ever-growing diversity of hardware choices to allow system designers to select the best option that meets their needs. Historically, hardware diversity also implied time-consuming software development to port vision applications and algorithms to a new hardware target and optimize for real-time constraints.
 
 
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Predictive maintenance enables companies to reduce machine downtime, eliminate unnecessary upkeep, and achieve many other business benefits. However, companies often face challenges around process and data when incorporating the technology into their operations.
 
 
 
 
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Connect Tech Inc. will be presenting the COM Express Type 7 + GPU Embedded System and the Rogue Carrier for NVIDIA Jetson AGX Xavier at Embedded World 2019 in Booth 1-430 from February 26-28 in Nuremberg, Germany.
 
 
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The high-calibre panel discussion from 15:30 to 16:30 in the Forum Hall 3A on 26 February will explore the current status of AI in respect of embedded system technology and its industries. The panel will also answer the question: ?Is all that already reality??
 
 
 
 
 
 
Sponsored by: RTI
Date: February 27, 2019 2:00 p.m. ET
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