Collaborating Authors


Best security system 2021: Protect your home & office


You don't need to spend a fortune on making your home office secure, and thanks to mobile technology, our options are now far beyond a locked door and window fastenings. Smart video doorbells that record both video and audio feeds in real-time when you have a visitor; motion and sound sensors that can be used in and outside, digital door locks, cameras with excellent night vision -- the range of products that leverage mobile connectivity, apps, and Internet of Things (IoT) sensors are endless and are improving every year thanks to data analytics and the cloud. That is not to say that all smart home security products are created equal, and not every home needs to have costly setups when it comes to security -- sometimes, a few select pieces can create a home ecosystem that is enough to protect your home (and office) against intruders and alert you when suspicious activity is detected. ZDNet has created a list of recommendations suiting a variety of budgets and setups to help homeowners and remote workers decide how best to protect their properties, ranging from full kits to useful window sensors and cameras suitable for use both in and outdoors. A smart video doorbell is one of those products that you didn't realize could be a great addition to daily life until you invest in one.

Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges Artificial Intelligence

This USER Workshop was convened with the goal of defining future research directions for the burgeoning intelligent agent research community and to communicate them to the National Science Foundation. It took place in Pittsburgh Pennsylvania on October 24 and 25, 2019 and was sponsored by National Science Foundation Grant Number IIS-1934222. Any opinions, findings and conclusions or future directions expressed in this document are those of the authors and do not necessarily reflect the views of the National Science Foundation. The 27 participants presented their individual research interests and their personal research goals. In the breakout sessions that followed, the participants defined the main research areas within the domain of intelligent agents and they discussed the major future directions that the research in each area of this domain should take.

A Survey on Edge Intelligence Artificial Intelligence

Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis in locations close to where data is captured based on artificial intelligence. The aim of edge intelligence is to enhance the quality and speed of data processing and protect the privacy and security of the data. Although recently emerged, spanning the period from 2011 to now, this field of research has shown explosive growth over the past five years. In this paper, we present a thorough and comprehensive survey on the literature surrounding edge intelligence. We first identify four fundamental components of edge intelligence, namely edge caching, edge training, edge inference, and edge offloading, based on theoretical and practical results pertaining to proposed and deployed systems. We then aim for a systematic classification of the state of the solutions by examining research results and observations for each of the four components and present a taxonomy that includes practical problems, adopted techniques, and application goals. For each category, we elaborate, compare and analyse the literature from the perspectives of adopted techniques, objectives, performance, advantages and drawbacks, etc. This survey article provides a comprehensive introduction to edge intelligence and its application areas. In addition, we summarise the development of the emerging research field and the current state-of-the-art and discuss the important open issues and possible theoretical and technical solutions.

OpenEI: An Open Framework for Edge Intelligence Artificial Intelligence

In the last five years, edge computing has attracted tremendous attention from industry and academia due to its promise to reduce latency, save bandwidth, improve availability, and protect data privacy to keep data secure. At the same time, we have witnessed the proliferation of AI algorithms and models which accelerate the successful deployment of intelligence mainly in cloud services. These two trends, combined together, have created a new horizon: Edge Intelligence (EI). The development of EI requires much attention from both the computer systems research community and the AI community to meet these demands. However, existing computing techniques used in the cloud are not applicable to edge computing directly due to the diversity of computing sources and the distribution of data sources. We envision that there missing a framework that can be rapidly deployed on edge and enable edge AI capabilities. To address this challenge, in this paper we first present the definition and a systematic review of EI. Then, we introduce an Open Framework for Edge Intelligence (OpenEI), which is a lightweight software platform to equip edges with intelligent processing and data sharing capability. We analyze four fundamental EI techniques which are used to build OpenEI and identify several open problems based on potential research directions. Finally, four typical application scenarios enabled by OpenEI are presented.

Ring finally has a doorbell cam for renters and apartment dwellers


Ring's latest video doorbell attaches to the peephole on a front door, making it suitable for renters or apartment residents who often cannot drill into the wall next to the door. Announced at CES, the Ring Door View Cam delivers live high-definition video with the same features as Ring's other doorbells. The battery-operated unit comes in two parts. The outside half is styled along the same lines as Ring's Video Doorbell Pro, although instead of one lens, there are two: The top one is the conventional peephole door viewer, so the old analog function is retained, and the one beneath it is the video camera. The indoor half has the viewing lens for the conventional peephole and is where the battery is installed.

Nest Hello review: This is a great video doorbell


If you're considering a video doorbell, the Nest Hello should be on your short list. It has great video quality, a solid app, and it operated flawlessly during my test. There's slick integration with Google Home and Google Assistant, and a recently launched 5-day subscription plan for storing video in the cloud reduces one of the biggest hurdles to a Nest system: the ongoing running cost. It's a worthy competitor to the Ring Video Doorbell 2, but the Nest Hello requires wiring so we still recommend the Ring if you need a battery-powered device. Nest Hello is a smart, good-looking doorbell that feels solid and well made.

Nest's $229 video doorbell is a useful addition to its ecosystem


As its name suggests, the temperature sensor works in conjunction with the Nest Thermostat (and the Nest Thermostat E) to let you control the temperature in individual rooms. So if you set one in the bedroom, for example, you can then configure the Nest app to have it so that room is colder or warmer than the rest of the house. The price for a single unit is $39 or $99 for a pack of three. You can pre-order it starting today, and it'll begin shipping next month. We saw much of it already at last year's Nest event, but it was good to see how all of it comes together.