Embedded Systems


Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices

Neural Information Processing Systems

Real-time automatic speech recognition (ASR) on mobile and embedded devices has been of great interests for many years. We present real-time speech recognition on smartphones or embedded systems by employing recurrent neural network (RNN) based acoustic models, RNN based language models, and beam-search decoding. The acoustic model is end-to-end trained with connectionist temporal classification (CTC) loss. The RNN implementation on embedded devices can suffer from excessive DRAM accesses because the parameter size of a neural network usually exceeds that of the cache memory and the parameters are used only once for each time step. To remedy this problem, we employ a multi-time step parallelization approach that computes multiple output samples at a time with the parameters fetched from the DRAM.


Samsung and LG unveil smart fridges that suggest recipes

Daily Mail - Science & tech

Samsung and LG are going head-to-head with their new smart fridges that scan the inside of the fridge and offer meal suggestions at CES 2020 this week. The smart fridges use updated AI technology that not only recognises food inside and sends smartphone updates, but also makes meal suggestions based on the available ingredients. The updates mean Samsung and LG smart fridge users will get a little help with planning what to cook for the week. The technology is another step towards the fully-automated kitchen of the future, where users don't even have to think about mealtimes because the machines do it all for you. Samsung's Family Hub features new AI capabilities that suggest recipes and works out meal plans Samsung's next-generation refrigerator in its Family Hub range uses AI-enhanced cameras to scan the contents of the fridge and suggests recipes based on what you have in stock.


FBI warns hackers can use smart home devices to 'do a virtual drive-by of your digital life'

Daily Mail - Science & tech

Smart home devices are designed to make our lives easier, but they also make it easier for hackers to infiltrate our lives. The FBI has sent out a warning that'hackers can use those innocent devices to do a virtual drive-by of your digital life.' The US intelligence agency urges users to regularly change passwords, check for firmware updates and never have two devices on the same network. Digital assistants, smart watches, fitness trackers, home security devices, thermostats, refrigerators, and even light bulbs are all on the list of devices that can be infiltrated by cybercriminals. And if these devices, among other smart home technology, are not properly protected, they can be used by hackers to'do a virtual drive-by of your digital life.' Samsung are developing an interactive kitchen that includes a fridge, oven and TV.


can-newsletter.org - HMIs

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Axiomtek has released the AIE500-901-FL, an advanced artificial intelligence (AI) embedded system for edge AI computing and deep learning applications. The device supports two CAN or two COM interfaces. The embedded system employs an Nvidia Jetson TX2 module which has a 64-bit ARM A57 processor; Nvidia Pascal GPU with 256 CUDA cores; and 8 GiB of 128-bit LPDDR4 memory. To withstand the rigors of day-to-day operation, the product has an operating temperature range of -30 C to 60 C and vibration of up to 3 Grms with its construction. According to the company, this fanless AI edge system is dedicated to achieving smart manufacturing and intelligent edge applications.


Global Artificial Intelligence in IoT (AIoT) Convergence Markets 2019-2024: AI in IoT is Evolving to Allow IoT Networks and Systems to become Increasingly More Cognitive, Thinking Networks

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The "Artificial Intelligence in IoT (AIoT) Convergence: Technologies, Platforms, Applications and AIoT Services in Industry Verticals 2019 - 2024" report has been added to ResearchAndMarkets.com's offering. This research provides a multi-dimensional view into the AI market including analysis of embedded devices and components, embedded software, and AI platforms. This research also assesses the combined Artificial Intelligence (AI) marketplace including embedded IoT and non-IoT devices, embedded components (including AI chipsets), embedded software and AI platforms, and related services. This research evaluates leading solution providers including hardware, software, integrated platforms, and services. It includes quantitative analysis with forecasts covering AI technology and systems by type, use case, application, and industry vertical.


Global Artificial Intelligence in IoT (AIoT) Convergence Markets 2019-2024: AI in IoT is Evolving to Allow IoT Networks and Systems to become Increasingly More Cognitive, Thinking Networks

#artificialintelligence

The "Artificial Intelligence in IoT (AIoT) Convergence: Technologies, Platforms, Applications and AIoT Services in Industry Verticals 2019 - 2024" report has been added to ResearchAndMarkets.com's offering. This research provides a multi-dimensional view into the AI market including analysis of embedded devices and components, embedded software, and AI platforms. This research also assesses the combined Artificial Intelligence (AI) marketplace including embedded IoT and non-IoT devices, embedded components (including AI chipsets), embedded software and AI platforms, and related services. This research evaluates leading solution providers including hardware, software, integrated platforms, and services. It includes quantitative analysis with forecasts covering AI technology and systems by type, use case, application, and industry vertical.


Global Artificial Intelligence in IoT (AIoT) Convergence Market Report 2019-2024: Technologies, Platforms, Applications and AIoT Services in Industry Verticals - ResearchAndMarkets.com

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DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in IoT (AIoT) Convergence: Technologies, Platforms, Applications and AIoT Services in Industry Verticals 2019 - 2024" report has been added to ResearchAndMarkets.com's offering. This research provides a multi-dimensional view into the AI market including analysis of embedded devices and components, embedded software, and AI platforms. This research also assesses the combined Artificial Intelligence (AI) marketplace including embedded IoT and non-IoT devices, embedded components (including AI chipsets), embedded software and AI platforms, and related services. This research evaluates leading solution providers including hardware, software, integrated platforms, and services. It includes quantitative analysis with forecasts covering AI technology and systems by type, use case, application, and industry vertical.


A Relaxing Weekend with Samsung's AI-enabled and Smart Appliances

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It sounds like something out of a fairytale: when you head out for the day, your fairy godmother zips around the house, finishing all the housework so you don't have to. Okay, okay (earmuffs, kids!), fairy godmothers aren't exactly real, but with Samsung's AI-enabled and smart home appliances, you'd never know the difference. Samsung home appliances' seamless connections are all part of the company's "Intelligence of Things" vision, which envisions a world in which the devices around us are constantly communicating with one another in ways that simplify our day. To demonstrate how the devices take the work out of housework, we present a typical Sunday in one of these connected homes. You've got a lot to do today, so you wake up early, kick off the covers, and start to map out your day.


The success of machine learning rests on scalability

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Instead, engineers will need to design systems that offer scalable performance, that are able to dynamically adjust the type of processing resource they deliver based on the task at hand. This is different to what embedded engineers may be comfortable with right now. For some years embedded processors have had the ability to vary their operating frequency and supply voltage based on workload. Essentially, a processor's core can run slower when it isn't busy; scaling back the main clock frequency directly translates to fewer transistors switching on and off per second, which saves power. When the core really needs to get busy, the clock frequency is scaled up, increasing the throughput.


RFID Special Report, Part II: 20/20 In 2020 -- Inventory Accuracy Takes Center Stage

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"Learn to crawl and walk before you try to run" is something we frequently advise our retail clients. That advice is particularly helpful when we are working with them on roadmaps for harnessing the RFID data produced in their stores and supply chains. This report will outline some smart tactics at each stage of the progression from decision making processes that rely heavily on human input to those that capitalize on advances in automation and artificial intelligence. It has long been established that RFID provides retailers with significant operational benefits. Our retail clients are moving beyond the core foundational capabilities and are eager to fully capitalize on the new forms of data their RFID systems are generating.