Not enough data to create a plot.
Try a different view from the menu above.
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems to robotics control and military surveillance. This is driven by the easier access to sensory data and the enormous scale of pervasive/ubiquitous devices that generate zettabytes (ZB) of real-time data streams. Designing accurate models using such data streams, to predict future insights and revolutionize the decision-taking process, inaugurates pervasive systems as a worthy paradigm for a better quality-of-life. The confluence of pervasive computing and artificial intelligence, Pervasive AI, expanded the role of ubiquitous IoT systems from mainly data collection to executing distributed computations with a promising alternative to centralized learning, presenting various challenges. In this context, a wise cooperation and resource scheduling should be envisaged among IoT devices (e.g., smartphones, smart vehicles) and infrastructure (e.g. edge nodes, and base stations) to avoid communication and computation overheads and ensure maximum performance. In this paper, we conduct a comprehensive survey of the recent techniques developed to overcome these resource challenges in pervasive AI systems. Specifically, we first present an overview of the pervasive computing, its architecture, and its intersection with artificial intelligence. We then review the background, applications and performance metrics of AI, particularly Deep Learning (DL) and online learning, running in a ubiquitous system. Next, we provide a deep literature review of communication-efficient techniques, from both algorithmic and system perspectives, of distributed inference, training and online learning tasks across the combination of IoT devices, edge devices and cloud servers. Finally, we discuss our future vision and research challenges.
The long-awaited release date of the Android version of Fortnite has finally been announced, however it won't be available to everyone straight away. Tim Sweeney, the chief executive of Fortnite developer Epic Games, revealed that the game will available from today but only for owners of the Samsung Galaxy Note 9 smartphone. The latest smartphone device was unveiled at an event in Brooklyn, New York, on Thursday, 9 August. The Fortnite app will also not be available through the Google Play Store, after Epic Games complained about the "disproportionate" cut that Google takes for enabling downloads through its online app store. Google takes a 30 per cent cut of sales made through Google Play, which is the main platform through which Android users download apps to their smartphones and tablets.
Apple's stock market value is heading towards a new milestone and its latest product launch on 12 September could push the tech giant closer to becoming the first ever $1tn (£760bn) company. At the end of last week, the company's market capitalisation hovered around $830bn, continuing a 10-year run that has generally headed upwards since a low of $69bn in January 2009, during the financial crisis. Tuesday's event, with the iPhone 8 the star attraction, will strive to meet investors' – and customers' – vaulting expectations. But what will Apple tempt users with to justify Wall Street's faith in its future profits? An Apple spokesman declined to discuss what will be revealed at the event in the company's $5bn, spaceship-shaped Cupertino headquarters.
A spectator at Wimbledon last month uses an iPad to take pictures of the action. Improved sales of the tablets were part of the good news out of Apple's quarterly report. A spectator at Wimbledon last month uses an iPad to take pictures of the action. Improved sales of the tablets were part of the good news out of Apple's quarterly report. Apple put investors at ease Tuesday with its quarterly report.