Collaborating Authors

Hot For The Holidays? Amazon Home Drone, Kid Echo And A Sexy Alexa


With all of the spectacle of an Apple event and droid-like gadgetry of the Disney Star War series The Mandalorian, the Amazon Devices & Services Showcase on September 24 dazzled with more than a dozen new products to help consumers adapt to pandemic life and better integrate work, school and entertainment into their smart homes. Here are highlights from the show along with my interview of Alexa's Head Scientist Rohit Prasad. Ring Always Home Cam is sure to become a family favorite as it zips around the house playing with your dog, spying on the nanny, searching for your phone, checking the oven, and spooking intruders. Echo Dot Kids Edition, which comes in animal-themed tiger and panda prints, switches to Alexa kid mode with a child-friendly tone when answering a youngster's questions, helping with homework, reading bedtime stories, calling friends, and playing games. One year subscription to Amazon Kids with Audible books included.

Is Artificial Intelligence White?


The "whiteness" of artificial intelligence (AI) removes people of colour from the way humanity thinks about its technology-enhanced future, researchers argue. University of Cambridge experts suggest current portrayals and stereotypes about AI risk creating a "racially homogenous" workforce of aspiring technologists, creating machines with bias baked into their algorithms. The scientists say cultural depictions of AI as white need to be challenged, as they do not offer a "post-racial" future but rather one from which people of colour are simply erased. In their paper, "The Whiteness of AI" published in the journal, Philosophy and Technology, Leverhulme CFI Executive Director, Stephen Cave and Dr Kanta Dihal offer insights into the ways in which portrayals of AI stem from, and perpetuate, racial inequalities. Cave and Dihal cite research showing that people perceive race in AI, not only in human-like robots, but also in abstracted and disembodied AI.

The Rise Of Restaurant Robots Amidst Pandemic Measures


In a restaurant landscape where lean profit margins are getting even slimmer due to the necessary COVID-19 safety measures of distancing, staying afloat is an increasingly difficult challenge. Small wonder, then, that some operators are using whatever means they can to stand out from their competition. Robot waiters, although not a new phenomenon, are making headlines around the world again, but this time with a socially distanced twist. At Claypot Rice, a Chinese restaurant in Calgary, robot greeters and servers chat with guests, take orders and run food from the kitchen. These are typically three distinct roles performed by humans, a fact not lost on owner Alex Guo.

How to Automate Machine Learning Tasks Using Autogluon?


Machine Learning is a part of Artificial Intelligence, which consists of algorithms and improving automatically with time. In order to apply machine learning to different datasets, we need to clean the data and prepare it for the machine learning phase. Also, we need to identify the data or problem whether it is Regression, Classification, etc. There are many machine learning algorithms that we can use for our prediction, regression, classification, etc. problems. But we need to call them individually and pass our data into them as parameters.

Automating Swords & Souls Training -- Part 3


In this article, we will finally put an end to the "Automating Swords & Souls" series (thank God!). We will continue from where we left off in the previous post and solve the last three mini-games, namely the Accuracy, Dodge, and Critical training, all in this one article. The reason for not separating the tutorial into further posts (e.g. one exclusively for Accuracy training, etc.) is the fact that these training are not vital (unlike the previously covered ones), hence not that important to automate. It is only because of the weird fusion of my masochist and perfectionist sides that I even bothered dealing with coding and fine-tuning (at least to a certain degree) these scripts. But hey, all is good when automating is considered, right?

Ring's latest security camera is a drone that flies around inside your house


This one had me do a double take. If you really want to feel like your home is some sort of impenetrable fortress complete with roving security drones. Amazon's Ring has a new product for you. Ring latest home security camera is taking flight -- literally. The new Always Home Cam is an autonomous drone that can fly around inside your home to give you a perspective of any room you want when you're not home. Once it's done flying, the Always Home Cam returns to its dock to charge its battery.

Neural network trained to control anesthetic doses, keep patients under during surgery


Academics from the Massachusetts Institute of Technology (MIT) and Massachusetts General Hospital have demonstrated how neural networks can be trained to administer anesthetic during surgery. Over the past decade, machine learning (ML), artificial intelligence (AI), and deep learning algorithms have been developed and applied to a range of sectors and applications, including in the medical field. In healthcare, the potential of neural networks and deep learning has been demonstrated in the automatic analysis of large medical datasets to detect patterns and trends; improved diagnosis procedures, tumor detection based on radiology images, and more recently, an exploration into robotic surgery. Now, neural networking may have new, previously-unexplored applications in the surgical and drug administration areas. A team made up of MIT and Mass General scientists, as reported by Tech Xplore, have developed and trained a neural network to administrator Propofol, a drug commonly used as general anesthesia when patients are undergoing medical procedures.

Graph Database: How Graph Is Being Utilised For Data Analytics


In computing, a graph database (GDB) is a database which utilises graph structures for semantic queries with nodes, edges, and properties to represent and store data. The graph related data items in the store to a collection of nodes and edges, where edges are representing the relationships across the nodes. Graph databases are a kind of NoSQL database, built to address the limitations of relational databases. While the graph model clearly lays out the dependencies between nodes of data, the relational model and other NoSQL database models link the data by implicit connections. Graph databases are the fastest-growing category in all of data management.

Predictive engineering analytics, big data and the future of design


By combining physics-based simulations, data mining, statistical modelling and machine learning techniques, predictive engineering analytics can analyse patterns in the data to construct models of how the systems you gathered the data from work. IoT and sensors are already transforming products and mining the stream of information from products will be critical for maintaining products and designing their replacements. For many industries, the products they create are no longer purely mechanical; they're complex devices combining mechanical and electrical controls. That means engineering different systems, and the ways they interface with each other, and with the outside world. At one level you're coping with electromechanical controls, at another, you're creating a design that covers the cooling requirements for the electronics.

How Visory turned cameras into sensors for AI-based traffic analytics in Dubai?


Here at Visory we believe that the millions of cameras sitting idly around us, providing at most some emergency'after the fact' analysis or simple statistics capabilities at best, could be harnessed in a secure and safe way to create value from the images the cameras are seeing. There is so much unused yet valuable data out there that is simply not being harnessed to create value. What we are talking about are things like whether a car crash is going to happen or a crime might be committed for example. Visory is here to turn cameras into predictive sensors and turn these'dumb' devices into smart and helpful ones. During the beginning of 2020 Visory was selected by the Dubai Future Foundation as one of the companies to participate in a governmental project to provide smart monitoring systems for the Dubai Road and Transport Authority.