Embedded Systems: Balancing Power, Performance, and AI
Embedded systems today are at a critical juncture, balancing edge versus cloud, performance versus efficiency, and the evolving role of AI in various industries.
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Innovations in autonomous mobile robots and vehicles
Embedded systems today are at a critical juncture, balancing edge versus cloud, performance versus efficiency, and the evolving role of AI in various industries.
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Robots that work in cooperation with humans—cobots—must include functional safety (FuSa) controls. Pre-certified components enable faster development, certification, and time to market.
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Taking a technology like RTK for a test drive can involve a lot of detours. An isolated testing environment sandbox eliminates roadblocks, lowers barriers, and speeds up time to market.
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AI is no longer just a promising technology on the far horizon. AI solutions are here today making it a time of great opportunity for AI developers, OEMs, and machine builders.
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In an era when hotels are short-staffed and eager to distinguish themselves, employing AMRs to haul, store, and fetch luggage—and even entertain guests—may be a ticket to success.
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Digital twins are unlocking and uniting data across systems, giving enterprises valuable operational insights that helping make facilities smarter, more sustainable, and easier to manage.
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Software robots transform business operations. Routine tasks are made easy through robotic process automation, boosting productivity, saving time, and optimizing overall efficiency.
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Autonomous Mobile Robots are a common sight in logistics and manufacturing. And now AMRs are at work in harsh environments from agriculture to mining, thanks to ruggedized industrial PCs.
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AI monitoring is enhancing robot efficiency in warehouses. Learn how companies leverage edge analytics for seamless operations, cost saving, and optimize supply chain automation.
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AI and digital twins are transforming location intelligence analytics, giving businesses deeper insights into their environments and unlocking new opportunities.
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The future of autonomous mobile robots is on a fast track thanks to developer toolkits and design support. Put AMRs to work for everything from operating forklifts to harvesting crops.
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Intel® Innovation 2023 showcased new hardware, software, and AI capabilities, demonstrating how to take computer vision and AI to the next level. Learn all about the latest announcements.
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Location intelligence is already a part of our everyday lives, from using our phones to get directions to finding a nearby restaurant. But businesses now are starting to see the transformative...
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With today’s autonomous vehicle technology, the future of safe, driverless transportation is not far down the road. The potential is exciting—from agriculture to freighters, mining, and beyond.
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To deliver real-world impact and improve business operations, AI developers need cutting-edge tools and technologies that bring AI solutions and computer vision applications to life.
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Training CV models can be painstaking. Active learning makes it easier, so domain experts don’t have to be AI experts. A mobile robot AI platform is just one example of how it works.
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How can IIoT technologies help OEMs generate new revenue streams? With no-code or low-code software plus IoT data, asset-based businesses are transitioning to innovative delivery service models.
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While autonomous mobile robots have more commonly been associated in manufacturing environments, more industries are taking interest in developing and deploying these advanced systems.
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As more industries look to develop autonomous mobile robots, businesses need to understand the technologies involved in safely and securely deploying these systems in the real world.
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