The use of connected smart devices is growing rapidly, but they are not yet everywhere. There are 3 challenges to the universal adoption of AI. As you may have already realized, AI has influenced your life. And its impact is only going to grow from here. Achieving a future of ubiquitous AI could be life-changing.

Amazon is reportedly aiming to bring some of the tech it uses at cashierless Amazon Go stores to your kitchen. According to Insider, the company has been working on a smart fridge that can monitor items and help you order replacements if you're running low on something. The team behind the Amazon Go systems is said to be heading the charge on the project, which has been in the works for at least two years. The Just Walk Out tech used at Go stores tracks what shoppers put in their carts and automatically charges them when they leave. Members of the Amazon Fresh and Lab126 hardware teams are reportedly involved with the fridge project too.

The demand for convenient retail is the main force shaping the industry today and both online shops and brick-and-mortar stores strive to offer the best experience to their customers. And while there are many strategies devised to increase customer satisfaction in digital retail, physical stores still struggle with meeting shoppers' expectations. At Abto Software, we have already developed an easily deployable Cashierless Checkout for retail outlets that eliminates queues and ensures the growth of the store attendance. Today we offer yet another retail automation technique: camera-based product recognition technology for smart fridges and intelligent vending machines. Abto Computer Vision engineers have developed an AI-driven grocery product recognition model for vending machines and smart fridges.

While the earlier decade was all about data communication and internet proliferation, the economy of the next few years will thrive upon digitization of systems, where we will encounter implementation of smartness into everything i.e. smart home, smart city, smart appliances, smart retail, etc. The demand for smart home appliances is increasing due to numerous advancements and adoptions of digital technologies in everyday life. IoT solutions is one of the key focus areas of digital transformation projects in the consumer electronics and home appliances industry. With the addition of smart devices and appliances, and with capabilities in sensing, connectivity, and data transmission, people can interact, collect, and analyze highly valuable data to automate various operations at home, which were previously performed manually. Today, technology has evolved to such an extent that there's a possibility to design meaningful collaboration between humans and machines, primarily due to advancements in AI.

Current home appliances are capable to execute a limited number of voice commands such as turning devices on or off, adjusting music volume or light conditions. Recent progress in machine reasoning gives an opportunity to develop new types of conversational user interfaces for home appliances. In this paper, we apply state-of-the-art visual reasoning model and demonstrate that it is feasible to ask a smart fridge about its contents and various properties of the food with close-to-natural conversation experience. Our visual reasoning model answers user questions about existence, count, category and freshness of each product by analyzing photos made by the image sensor inside the smart fridge. Users may chat with their fridge using off-the-shelf phone messenger while being away from home, for example, when shopping in the supermarket. We generate a visually realistic synthetic dataset to train machine learning reasoning model that achieves 95% answer accuracy on test data. We present the results of initial user tests and discuss how we modify distribution of generated questions for model training based on human-in-the-loop guidance. We open source code for the whole system including dataset generation, reasoning model and demonstration scripts.

Technology is everywhere these days but just how smart is your home right now? And how smart can it get in 2018? The answers might surprise you. It's all possible with the coolest smart home innovations available right now and which will soon be commonplace in Kiwi homes. But before we get to the cool appliances that make it all happen, there's something bigger in the background which maxes out the convenience.

This article has been updated from the original, published on June 17, 2017, to reflect new events and conditions and/or updated research. "By 2022, your personal device will know more about your emotional state than your own family," says Annette Zimmermann, research vice president at Gartner. This assertion might seem far-fetched to some. But the products showcased at CES 2018 demonstrate that emotional artificial intelligence (emotion AI) can make this prediction a reality. Emotion AI, also known as affective computing, enables everyday objects to detect, analyze, process and respond to people's emotional states and moods -- from happiness and love to fear and shame.

Technology conventions such as IFA often serve as a window into the near future, with the concepts on the show floor offering a glimpse of what gadgets are in the pipeline. The ubiquity of virtual assistants, drones and virtual reality were all first flagged at shows like IFA, so it's far from a guessing game. And a striking trend has been appearing in every corner of the convention centre this year – robots. Robotics have been becoming increasingly prevalent in the tech world for some time now, partly driven by the rise of artificial intelligence and machine learning. Once inanimate devices have been coming to life and learning as they do.

I wanted to know what the future of artificial intelligence in project management would look like, so I reached out to founders, productivity experts and futurists who work in this space every day to ask what their predictions are for the next five and 10 years. We need to think of productivity systems as supporting systems for our decision process." Related: Rethinking Chatbots: They're Not Just for Customers Mark Mader, CEO at Smartsheet, thinks that thinking of AI as roving robots is missing the point, saying, "Looking further out, there's no doubt that automation -- don't think robots, think removing mundane and unproductive work steps from your day -- will increase. As a form of decision support, productivity expert Carl Pullein thinks that "machine learning and artificial intelligence [will move] towards creating productivity tools that can schedule your meetings and tasks for you and to be able to know what needs to be done based on your context, where you are and what needs to be done."

The productivity and project management market is booming, and it's continuing to evolve in new and exciting ways. I wanted to know what the future of artificial intelligence in project management would look like, so I reached out to founders, productivity experts and futurists who work in this space every day to ask what their predictions are for the next five and 10 years. David Allen, the inventor of Getting Things Done, believes, "Systems will get better at presenting the relevant data to optimize our experience in every situation -- at the right place, at the right time. We need to think of productivity systems as supporting systems for our decision process." So, we won't yet be using AI to eliminate our decisions and automate them, but to enhance the ability to make a decision in any situation.