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Artificial Intelligence Breakthrough: Training and Image Recognition on Low Power CPU (with no GPU), via Explainable-AI for Smart Appliance Pilot for Bosch

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Z Advanced Computing, Inc. (ZAC), the pioneer startup on Explainable-AI (Artificial Intelligence) (XAI), is developing its Smart Home product line through a paid-pilot for Smart Appliances for BSH Home Appliances (a subsidiary of the Bosch Group, originally a joint venture between Bosch and Siemens), the largest manufacturer of home appliances in Europe and one of the largest in the world. ZAC just successfully finished its Phase 1 of the pilot program. "Our cognitive-based algorithm is more robust, resilient, consistent, and reproducible, with a higher accuracy, than Convolutional Neural Nets or GANs, which others are using now. It also requires much smaller number of training samples, compared to CNNs, which is a huge advantage," said Dr. Saied Tadayon, CTO of ZAC. "We did the entire work on a regular laptop, for both training and recognition, without any dedicated GPU. So, our computing requirement is much smaller than a typical Neural Net, which requires a dedicated GPU," continued Dr. Bijan Tadayon, CEO of ZAC.


LG's bet to make "smart appliances" more than just a gimmick

USATODAY - Tech Top Stories

Smart appliances are nothing new. As with most consumer products, the ubiquity of built-in WiFi and Bluetooth progresses steadily, promising a bold, yet decidedly unspecific, future of "connectedness." LG's new ProActive Care is attempting to finally make good on some of that promise by leveraging artificial intelligence (AI) to zero in on one of the biggest pain-points in appliance ownership: services and repair. Broken or malfunctioning appliances are a fact of life for consumers. No matter how well built, those big metal boxes that get exceptionally hot, wet, or cold on a daily basis are going to break down eventually.


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.