In this paper, we create "Love in Action" (LIA), a body language-based social game utilizing video cameras installed in public spaces to enhance social relationships in real-world. In the game, participants assume dual roles, i.e., requesters, who issue social requests, and performers, who respond social requests through performing specified body languages. To mediate the communication between participants, we build an AI-enhanced video analysis system incorporating multiple visual analysis modules like person detection, attribute recognition, and action recognition, to assess the performer's body language quality. A two-week field study involving 27 participants shows significant improvements in their social friendships, as indicated by Self-reported questionnaires. Moreover, user experiences are investigated to highlight the potential of public video cameras as a novel communication medium for socializing in public spaces.

Some See Disability as a Unique Individuality, and why not. Well, this individuality needs to be taught and explored and so here are a few applications and technologies developed for those with special needs of visuals and sight. Microsoft has released a new free app for Apple's iPhone, called Seeing AI, and it is generating a lot of interest in a short period of time. In less than a week, "techies" were giving glowing reviews to the app and podcasters were creating tutorials, which is all great news for consumers looking for an introduction to using the app. So what are the various means that AI is empowering the Visually Impaired?

HealthTech AI company NuraLogix has announced that it has developed AI models that can predict a person's risk of Type 2 Diabetes, Hypercholesterolemia, Hypertriglyceridemia and Hypertension. This is important, says the company, because it will someday allow people to screen themselves using any device with a video camera such as a smartphone or tablet. Researchers at the company trained their machine learning-based models on the facial blood flow patterns of tens of thousands of subjects who had been diagnosed with the above conditions. All of the models predicted with a minimum Area Under the Curve (AUC) 0.80. Compare this with the classic Framingham model for predicting cardiovascular disease which had an AUC in the range of 0.70, says the company. "This technology is a disruptive tool for population health," says Dr. Keith Thompson, Primary Care Physician of over 30 years, and Chief Medical Officer at NuraLogix, "We live in an era where one half of the globe is without access to health care, and in both developed and underdeveloped countries, there are shortages of Human Health resources."

Gartner defines edge computing as "a part of a distributed computing topology in which information processing is located close to the edge -- where things and people produce or consume that information." At its basic level, edge computing brings computation and data storage closer to the devices where it's being gathered, rather than relying on a central location that can be thousands of miles away. This is done so that data, especially real-time data, does not suffer latency issues that can affect an application's performance. In addition, companies can save money by having the processing done locally, reducing the amount of data that needs to be processed in a centralized or cloud-based location. Edge computing was developed due to the exponential growth of IoT devices, which connect to the internet for either receiving information from the cloud or delivering data back to the cloud.

It is certainly startling when you hear a loud bang that sounds like a gunshot. Imagine sitting in your living room and from outside comes that blaring sound. It seemed like gunfire, but you aren't quite sure. There was a very loud noise, it was a sharp popping sound reminiscent of a gunshot, and it was close enough to be heard. Luckily, the sound wasn't so close that it might have been gunfire directed at or particularly nearby your home. Should you call the police to notify them about the apparent gunfire? Sometimes, people that think they might have heard a gunshot are reluctant to report that they heard the sound. One form of reluctance is due to their being unsure of what the sound really was. You don't want to officially claim that there was a gunshot if the sound turns out to be fireworks, or maybe a car that backfired making an abrupt boom.

A new generation of farmers is turning to technologies such as the internet of things (IoT) and machine learning to automate agricultural production, alleviating the need to toil on the land while keeping a watchful eye on their crops. Joining their ranks is Phoebe Xie, director and co-founder of Singapore-based agrotechnology startup AbyFarm. Teaming up with technology service provider SPTel, Xie is building a smart hydroponics farm in a greenhouse that uses a plethora of IoT sensors, including video cameras, to keep the farm humming around the clock. "To run a self-regulating farm at optimal temperature with optimal water and nutrient supply, and to control the quality and taste of vegetables and fruits, we need IoT sensors," she said, adding that the farm and its sensors collect and monitor thousands of data points, including humidity and temperature. With the data and in certain environmental conditions, processes and actions are automatically triggered to protect crops from the elements.

Artificial Intelligence (AI) is conquering every sector, providing new dimensions across all industries and accelerating digital transformation. Within telecoms, the rise of 5G has opened the flood gates to a new world of opportunities and possibilities now possible with AI. Digital transformation is a goal for businesses that are looking to leverage data, automation, and digitalization as a means of differentiation and carving a competitive advantage. Governments around the globe have also realized the impact of 5G on digital transformation and have been allocating spectrum for Enterprises willing to leverage 5G to drive AI and Automation. The applications for AI across telecoms are endless.

There's an old proverb that dates back to at least the year 1670 and declares that sauce for the goose is also sauce for the gander. A more modern and altogether familiar version is the assertion that what is good for the goose is good for the gander. That's a saying that we all know well. In today's world, this ostensibly suggests that something applicable in one instance is likely applicable in another (consult your favored online dictionary for further elaboration). I often highlight cutting-edge technology bringing about AI-based true self-driving cars. I like to highlight foundational R&D work taking place in research labs that are focused on creating autonomous vehicles. The thing is, a lot of the autonomous tech will also end up in human-driven cars too. Many assume that the tech devised to aid AI-based autonomous driving would solely be used by autonomous driving vehicles.

Russia is claiming the first standard production artificial intelligence powered combine harvesters will come to market this month. Autonomous driving technology specialist, Cognitive Pilot, and Bryanskselmash, agricultural equipment manufacturer, have agreed fit automated drive technology to series produced harvesters rolling off the production line from the end of April 2021. The partners plan to expand joint marketing and other activities that will increase the attractiveness of the solution and expand its geographical reach. In another venture, Cognitive Pilot and Rosagroleasing, Russia's largest state-owned agricultural leasing company, have announced first contracts for AI-based agricultural equipment. This will make equipment available to domestic agricultural enterprises, seeking to improve efficiency, including both medium-size and small-size enterprises.

Adam Scraba: I think we're on a path where AI is actually going to become kind of like a utility. It's going to be accessible to pretty much everyone. James Kotecki: This is Machine Meets World, Infinia ML's ongoing conversation about artificial intelligence. I am James Kotecki and my guest today is Adam Scraba, Director of Product Marketing at NVIDIA. James Kotecki: So Adam, NVIDIA, which I should say is not Infinia, these are two totally separate companies that we work for here.