Counterfeiters have leveraged consumer fear and uncertainty created by coronavirus (COVID-19) to flood the market with fakes, misinformation and counterfeits, taking advantage of demand and panic buying for essential goods and services. As one example, social media bot accounts are causing life-threatening coronavirus misinformation to spread across the internet. The Reuters Institute for the Study of Journalism and the Oxford Internet Institute recently released the results of a study that reviewed 225 pieces of COVID-19 misinformation rated false or misleading by fact-checkers. The research found that "false (COVID-19) information spread by politicians, celebrities, and other prominent public figures" accounted for 69% of total engagement on social media, even though their posts made up just 20% of the study's sample. Likewise, counterfeit N95 masks, test kits and ventilator parts have posed challenges for governments across the globe trying to keep their populations safe during COVID-19.
AKA, an artificial intelligence development company, announced a function called "Academy Mode", developed for Pepper to serve in the classroom despite the current situation of COVID-19. Academy Mode is designed specifically for the Softbank Robotics Humanoid robot, Pepper, to fit classroom settings and will be released in Korea, Japan, and China's market first. Since entering Japan's market in 2015, AKA has been working together continuously with Softbank Robotics Japan. In May 2019, AKA became an official reseller of Softbank Robotics China for the Pepper robot. Since then, AKA has been actively developing different functions for Pepper to work better in the English education environment.
Shane Wighton's YouTube channel, Stuff Made Here, is no stranger to remarkably complicated robotics projects. You might remember his viral video where he built a basketball hoop where he'd never miss. So now, with many barbershops and salons closed during the pandemic, Wighton's latest project was a robot that could cut hair. But we're not talking a robotic arm that buzzes hair. Wighton's robot uses scissors, sensors, probes, and lots of other things I don't fully understand to do a full haircut.
Transportation "can also become truly contactless if needed," says James Peng, who is CEO of ... [ ] self-driving startup Pony.ai. The first few months of 2020 have radically reshaped the way we work and how the world gets things done. While the wide use of robotaxis or self-driving freight trucks isn't yet in place, the Covid-19 pandemic has hurried the introduction of artificial intelligence across all industries. Whether through outbreak tracing or contactless customer pay interactions, the impact has been immediate, but it also provides a window into what's to come. The second annual Forbes' AI 50, which highlights the most promising U.S.-based artificial intelligence companies, features a group of founders who are already pondering what their space will look like in the future, though all agree that Covid-19 has permanently accelerated or altered the spread of AI. "We have seen two years of digital transformation in the course of the last two months," Abnormal Security CEO Evan Reiser told Forbes in May.
Pharmaceutical startup NowRx today announced it has closed a $20 million round raised through crowdfunding platform SeedInvest. NowRx, which claims the round is the largest in SeedInvest's history, says it will use the funds to expand into new U.S. markets (including Arizona) and expand its pharmacy technology. The global e-pharmacy market could be worth $107.53 billion by 2025, according to Zion Market Research, and the pandemic will no doubt accelerate its growth. Contactless shipments promise to limit exposure to the coronavirus while saving time otherwise spent standing in line. The startup operates 5,000-square-foot micro-fulfillment centers in cities like Burlingame, California, where automation technologies -- including robots -- sort, count, bottle, and label orders "at the same or better" margins as large pharmacy chains.
The company behind the world's first AI-powered robot kitchen assistant has announced its debut funding round in the UK in what could be a pivotal step in its quest to get the concept established with restaurant chains here. Miso Robotics – the US creator of the Flippy robot – is aiming to raise £24m via Crowdcube to support its expansion into Europe. The company has previously raised more than $17m (£13m) in funding rounds in the US, following a valuation of over £64m in 2019. Flippy, which cooks burgers, fries and chicken, can learn from its surroundings and acquire new skills and is already deployed in the US market at CaliBurger restaurants and iconic venues such as the Dodger Stadium in Los Angeles through Levy Restaurants, part of Compass Group. This week, Miso Robotics announced that US fast food chain White Castle will deploy Flippy in order to modernise its operations. The fundraising comes at a time when QSRs are having to work even harder to build resilient operations that offer safer working environments as they reopen following the Covid-19 pandemic.
This article is contributed by Internet Creations, a professional services organization based in New Jersey, and a Salesforce partner with 11 support agent and sales apps on the AppExchange. During my career, I've learned the value of creating experiences that help keep stress levels down -- to anticipate what people may need before they have a problem. When the founder of Internet Creations asked me to take on the role of CEO shortly after COVID-19 hit, I knew this leadership approach would be more important than ever during the crisis. What fears might employees and customers have? How can we proactively solve them?
Technology has been absolutely vital in helping the NHS manage the overwhelming pressure placed on its services since the start of the COVID-19 pandemic. Everything from video conferencing and remote appointments with GPs through to artificial intelligence systems designed to understand the demand for hospital beds, has been used to help keep healthcare services operating throughout the pandemic. In the early days of the coronavirus crisis, NHS Digital, which is responsible for a number of key digital services for health and social care in the UK, quickly found itself under strain as people began searching for information on COVID-19. In the first week of March alone, the organisation fielded an additional 120,000 calls to its NHS 111 hotline, forcing it to quickly increase capacity and set up an online system where people could check COVID-19 symptoms and get advice. Within a week, more than one million people had used the service; at its peak, NHS 111 online experienced 95 times its highest ever use, with over 818,000 accessing the service in a single day. "No CIO prepares for that," says Sarah Wilkinson, CEO of NHS Digital. The experience was testing for NHS Digital, which had to rapidly scale up services at a pace that, while necessary, Wilkinson admits felt "too fast for comfort" at times.
The COVID-19 pandemic is an incredibly complex and rapidly evolving global public health emergency. Facebook is committed to preventing the spread of false and misleading information on our platforms. Misinformation about the disease can evolve as rapidly as the headlines in the news and can be hard to distinguish from legitimate reporting. The same piece of misinformation can appear in slightly different forms, such as as an image modified with a few pixels cropped or augmented with a filter. And these variations can be unintentional or the result of someone's deliberate attempt to avoid detection.
Jim McGowan, is the head of product at ElectrifAi, they specialize in extracting massive amounts of disparate data, transforming chaotic structured and unstructured data into actionable business insights. What is it that attracted you to the world of machine learning and AI? I first encountered Machine Learning while earning a doctorate for work in cognitive science. AI systems largely consisted of distilling an expert's experience down to a flow chart. This seemed intuitively to work, but the systems quickly grew too complex and weren't living up to their promise.