Word of the Day: onboard intelligence

Word of the Day Daily updates on the latest technology terms |April 23, 2018

onboard intelligence Onboard intelligence is the use of artificial intelligence (AI) that is housed locally in the device it operates. Onboard intelligence helps accommodate AI uses where offloading resources externally is problematic, such as remote environments where connectivity or power delivery is an issue. While onboard intelligence is often web-accessible, it is often focused on autonomous operation capabilities. AI implementations often use both local and remote computing resources to enable greater processing power. This separation of resources can be used to reduce local power draw and increase mobility or battery life. Mobility is a major concern in automotive applications of onboard intelligence. Because vehicles can't rely on the ability to connect adequately for the operation of remote compute power, autonomous driving cars operate with onboard intelligence. The localization of AI through onboard intelligence enables reliability in split second, life-or-death decisions that are required of autonomous vehicles. On the other hand, this divided approach limits where AI can be used. NASA, for example, has created an onboard intelligence solution for space called Frontier, an intelligent decision engine. While it remains simple enough to house locally onboard intelligence, Frontier can learn to make better decisions based on experience. This learning capability makes Frontier and other onboard intelligence more adaptable to uncertain environments. Commercially used drones may also benefit from onboard AI in order to enable autonomous operations. Even in crafts not operated autonomously, onboard intelligence can be a back up to help ensure the craft doesn't fail its delivery or mission in the event of lost connectivity. Quote of the Day "To enable edge devices to make better decisions, onboard deep learning processors are required." - Vishnu Andhare   Trending Terms autonomous system driverless car drone edge computing robotic process automation machine learning   Learning Center CTO Simon Crosby explains edge intelligence, talks AI uses and risks What do you get when you cross edge analytics with machine learning? Edge intelligence, which eliminates the need for cloud data storage in predictive analytics. CTO Simon Crosby explains how it works and offers insights into AI uses, data breach risks and more. Is IoT taking us back to the garage? The 'hardware renaissance' Vishnu Andhare of ISG says we're at the dawn of a hardware renaissance, where IoT hardware startups have the chance to rule the world. AI leaders call for a stop on development of autonomous weapons Business leaders and artificial intelligence experts sign an open letter to the governments warning of the risks of an AI arms race in autonomous weapons. AWS AI services toss machine learning keys to dev teams A slate of AWS AI services unveiled at re:Invent extends the cloud provider's machine learning, natural language and video processing capabilities. The power, promise and controversy of AI applications Artificial intelligence is everywhere, and as AI applications such as chatbots become pervasive, the tech industry may need to set some ground rules. Writing for Business Although big data is getting bigger all the time, much of the data being collected ___ useless. A. is B. are Answer   Stay In Touch For feedback about any of our definitions or to suggest a new definition, please contact me at: mrouse@techtarget.com   Visit the Word of the Day Archives and catch up on what you've missed!   FOLLOW US About This E-Newsletter This e-newsletter is published by the TechTarget network. To unsubscribe from Whatis.com, click here. Please note, this will not affect any other subscriptions you have signed up for. TechTarget, Whatis, 275 Grove Street, Newton, MA 02466. Contact: webmaster@techtarget.com Copyright 2018 TechTarget. All rights reserved.