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Epidemiology


Reese's sending out robotic Halloween door that dispenses hands-free treats – IAM Network

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While some towns are all but nixing Halloween, Reese's is hoping to bring safe trick-or-treating to neighborhood doorsteps. The company is sending out a remote-controlled robotic door to roll through neighborhoods and dispense king-size Reese's Peanut Butter Cups. When it shows up, kids only have to say "trick or treat" to get their candy. "This Halloween is unlike any other, so we've upped the ante on creativity as a result," Allen Dark, Reese's senior brand manager, said in a statement. "A robotic Reese's dispensing door is just what the world needs right now!" The door works using a remote control from 5,000 feet away.


Arab IoT & AI Challenge posted on LinkedIn

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As Artificial Intelligence offered its best at the beginning of the pandemic, starting from predicting the outbreak up to monitoring the number of cases, it continues to facilitate all our life aspects for us and our children to be able to work, study, and play safely. Virtual assistants and chatbots have been deployed to support healthcare organisations. The US Center for Disease Control and Prevention and Microsoft have developed a coronavirus self-checker service to help users self-assess COVID-19 and suggest a course of action. AI has been used for checking temperature using; tracking cases and their contacts with facial recognition and smartphones; and tracking the GPS location and itinerary of infected people through mobile phones. You no longer need to physically perform your tasks as AI gives you the ability to control your home or company remotely.


How AI Can Help Us Prepare for the Second Wave – Thought Leaders

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In order for countries to plan how to successfully restart their economies, a new data model -- one based on AI -- is needed. So far, existing data science models haven't done the best job at predicting the ease of transmission of COVID-19, the extent of its development, potential for mutation, and outbreaks in new hot spots. Many were developed in a rush, with flawed data based on limited testing capacity. An AI model, however, would be adaptive, built to scale, and automated, crunching together sociological, economic, and health data to enable economies to reopen successfully should another wave occur. The data used in this model should be both accurate and statistically significant.


UK and US enter special deal to develop Artificial Intelligence and thwart China – IAM Network

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The UK ranks second only to America in the new technology, says Oxford Insight's AI Readiness Index, although China may have already pushed us into third. AI is already widely used in Britain for such processes as online banking and is providing the backbone for Covid research. In May Britain was the first country to contribute a supercomputer to the Covid-19 High Performance Computing Consortium.The group runs calculations in epidemiology, bioinformatics and molecular modelling to discover new treatments and a vaccine.However, the new US-UK partnership – which stemmed from a meeting between Prime Minister Boris Johnson and US president Donald Trump – was also prompted by fears that China may be on the track to become an AI superpower.In 2017 China's state council announced itsAI development plan which aims to connect and upgrade all industry within just five years, as part of a "Made in China 2025" push.Under the plan, AI will be used to control firms to balance supply and demand, while the technology will also be used to keep tabs on the population.Announcing the partnership, US chief technology officer Michael Kratsios said: "America and our allies must lead the world in shaping the development of …


Deploying nEmesis: Preventing Foodborne Illness by Data Mining Social Media

AI Magazine

Foodborne illness afflicts 48 million people annually in the U.S. alone. Over 128,000 are hospitalized and 3,000 die from the infection. While preventable with proper food safety practices, the traditional restaurant inspection process has limited impact given the predictability and low frequency of inspections, and the dynamic nature of the kitchen environment. Despite this reality, the inspection process has remained largely unchanged for decades. CDC has even identified food safety as one of seven "winnable battles"; however, progress to date has been limited.


Human Touch Keeps AI From Getting Out of Touch - AI Trends

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AI is charting new ways to become out of touch, potentially. Maybe the frame of mind around agile, sometimes spontaneous, software development that had been going on in decentralized organizations before AI took over, is coming into conflict with the mindset needed to feed AI systems with a constant high-volume flow of clean, well-structured data. This suggestion was broached by Sylvain Duranton, senior partner at Boston Consulting Group, in a recent TED Talk. "For the last 10 years, many companies have been trying to become less bureaucratic, to have fewer central rules and procedures, more autonomy for their local teams to be more agile. And now they are pushing artificial intelligence, AI, unaware that cool technology might make them more bureaucratic than ever," he stated in a recent account in Forbes.


NFL teams are using drones and robots to limit virus spread

Engadget

Despite a recent COVID-19 outbreak in the NFL that resulted in cancelled games, some teams are planning to welcome back fans over the next few weeks. The Atlanta Falcons are one of those, and to reduce the risks, Atlanta's Mercedes-Benz Stadium (MBS) will be among the first sports venues to sanitize key areas using drones (via CNN). MBS will use Lucid Drone Technologies' D1 disinfecting drones to disinfect the seating bowl, handrails, and glass partitions at the stadium. "This stadium is incredibly large and as we begin to slowly welcome fans back, these drones allow us to maximize the time between games and private events to thoroughly sanitize," said building operations manager Jackie Poulakos. The use of drones reduces seating bowl cleaning times by 95 percent and is 14 times more efficient than regular backpack foggers, according to MBS.


Facebook's AI matches people in need with those willing to assist

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Facebook says it has deployed a feature in its Community Help hub to make it easier for users to assist each other during the pandemic. As of this week, AI will detect when a public post on News Feed is about needing or offering help and will surface a suggestion to share it on Community Help. Once a post is moved or published directly to the hub, an algorithm will recommend matches between people. For example, if someone posts an offer to deliver groceries, they'll see recommendations within Community Help to connect with people who recently posted about needing this type of assistance. Similarly, if someone requests masks, AI will surface suggested neighbors who recently posted an offer to make face coverings.


Robots Rise Up in the Fight against COVID - Connected World

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The healthcare industry is facing a number of challenges today. Between a very real labor shortage, and the need to keep everything clean, the industry is facing an uphill battle if it doesn't find some help. I recently had the opportunity to sit down with Conor McGinn, CEO, Akara Robotics, to address this very topic and he has an interesting solution. Here is a hint: it's a robot. "We see a lot of opportunity in the healthcare system, largely due to the fact that there is this chronic labor shortage and without technology we just don't have a chance to solve," McGinn explains.


Artificial Intelligence Advances Food Safety

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Machine vision has long found a place in food safety, working 24/7 without fatigue. But as data access increases and processing power improves, machine vision is finding even more opportunities through the added capabilities of artificial intelligence (AI). To take one example, traditional machine vision tends to struggle to inspect for contamination in sun-dried tomatoes. But it's an application that's well suited to AI. "Similar to a human, AI is very good at dealing with a lot of variations in whatever's being looked at," says Quinn Killough, senior business development manager for Landing AI, a company that provides end-to-end AI platforms for manufacturing. "That type of application, because there's so much variability in what a tomato could look like or what kind of contamination could be on it, it was a pretty tough machine vision problem in general. A human can do it easily. And it turns out AI can do it fairly easily as well. Being able to deal with all that variation in what you're looking at, it makes it very well suited for AI."