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A guide to healthy skepticism of artificial intelligence and coronavirus

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The COVID-19 outbreak has spurred considerable news coverage about the ways artificial intelligence (AI) can combat the pandemic's spread. Unfortunately, much of it has failed to be appropriately skeptical about the claims of AI's value. Like many tools, AI has a role to play, but its effect on the outbreak is probably small. While this may change in the future, technologies like data reporting, telemedicine, and conventional diagnostic tools are currently far more impactful than AI. Still, various news articles have dramatized the role AI is playing in the pandemic by overstating what tasks it can perform, inflating its effectiveness and scale, neglecting the level of human involvement, and being careless in consideration of related risks. In fact, the COVID-19 AI-hype has been diverse enough to cover the greatest hits of exaggerated claims around AI.


How can AI and data science help to fight the coronavirus?

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The challenge is based on the CORD-19 dataset, which contains tens of thousands of research papers. It is growing rapidly – faster than any researcher can read and digest. The challenge is to build tools to help medical researchers extract the information they need, even as more information continues to be published. On Monday, March 16, in the US, the White House together with, among others, the National Institutes of Health and Georgetown University, released the CORD-19 dataset and issued a call to action. In just a few days, more than 362 people from Ericsson raised their hands and offered to participate.


Hackers target health care AI amid coronavirus pandemic

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The health care sector has increasingly turned to artificial intelligence to aid in everything from performing surgeries to helping diagnose and predict outcomes of patient illnesses. But as the coronavirus crisis ramps up, and hackers turn their eyes toward the health sector, experts warn these systems and the patients they support are increasingly at risk. "Obviously any disruption or denial of service of any type of medical health technology which interrupts patient care is definitely a significant issue," said John Riggi, the senior adviser for cybersecurity and risk at the American Hospital Association (AHA). "Worst-case scenario, life-saving medical devices may be rendered inoperable." AI systems have gradually been integrated into health care in the United States, often used to help speed diagnoses, such as reading X-rays, and for determining risks to patients.


USS Theodore Roosevelt commander says entire crew needs to be isolated after 200 positive coronavirus tests

FOX News

Dr. Nicole Saphire explains the problem asymptomatic individuals present and why we're seeing so many deaths right now Get all the latest news on coronavirus and more delivered daily to your inbox. In a desperate plea for help, the commanding officer of the deployed aircraft carrier USS Theodore Roosevelt says his entire crew of roughly 5,000 sailors needs to be isolated after up to 200 onboard have tested positive for coronavirus. Three sailors on board the aircraft carrier tested positive last week, the first time the outbreak infected a deployed U.S. warship at sea. The letter from Captain Brett Crozier to top Navy brass was first obtained by the San Francisco Chronicle. Fox News exclusively reported Sunday there were 38 positive cases aboard the massive warship.


Global Big Data Conference

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A challenge on the data science community site Kaggle is asking great minds to apply machine learning to battle the COVID-19 coronavirus pandemic. As COVID-19 continues to spread uncontrolled around the world, shops and restaurants have closed their doors, information workers have moved home, other businesses have shut down entirely, and people are social distancing and self-isolating to "flatten the curve." It's only been a few weeks, but it feels like forever. If you listen to the scientists, we have a way to go still before we can consider reopening and reconnecting. The worst is yet to come for many areas.


COVID-19 Imaging for AI

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Mr. Kant is a former firefighter, paramedic and emergency manager with a proven history of saving lives with innovation, applying operational expertise, and offering hands-on guidance at significant events and disasters worldwide. He serves as the disaster portal coordinator for the International Association of Emergency Mangers and works as an innovation entrepreneur. He has been recognized by the Department of Defense, National Geospatial Intelligence Agency, NATO, DHS S&T and others for innovative thinking and applying expert analysis to complex cascading operational interdependencies. During his career, Mr. Kant has supported real-time command/control operations for multiple agencies around the world, including the Florida Night of Tornadoes, the World Trade Center Disaster, hurricanes Katrina and Sandy, and many other significant events and disasters over the past two decades.


Council Post: Are Marketers Ready For The Next Decade Of Tech Evolutions?

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The 2010 decade sure had its challenges, but one positive change was the leap in technology capabilities. This holds true not only for consumers, but also for marketers. For example, the proliferation of smartphones with powerful cameras, loads of apps and high-bandwidth mobile networks has changed how we communicate and share ideas. Marketers can promote events on the go, livestream sessions, share pictures and essentially keep people informed -- globally and in real time. In short, we now have a multimedia studio in our hands.


Governments turn to AI in fight against coronavirus – Government & civil service news

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Countries around the world – including the US, South Korea and Taiwan – are using artificial intelligence (AI) to help slow the spread of COVID-19. The technology is being used to speed up the development of testing kits and treatments, to track the spread of the virus, and to provide citizens with real-time information. In South Korea, the government mobilised the private sector to begin developing coronavirus testing kits soon after reports of a new virus began to emerge from China. As part of this drive, Seoul-based molecular biotech company Seegene used AI to speed up the development of testing kits, enabling it to submit its solution to the Korea Centers for Disease Control and Prevention (KCDC) three weeks after scientists began working on it. The company's founder and chief executive, Chun Jong-yoon, told CNN that had AI not been used, the process would have taken two to three months.


The Heat-Up Game of Robotic Surgery Companies Analytics Insight

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The multi-limbed da Vinci can be utilized in a variety of procedures, including cardiovascular, colorectal, gynaecological, head and neck, thoracic and urologic medical procedures, however, only if they're minimally invasive. How large the market could be is as yet hazy, yet experts concur the potential still can't seem to be tapped. So more players are moving in, and rapidly. As the beginning of robotic surgery offers an approach to increasingly precise control and better patient results, early pioneers like Intuitive Surgical Inc. are seeing increased pressure from large organizations like Johnson and Johnson and Medtronic PLC, which have made major M&A investments to break into the market as of late. Intuitive's da Vinci system was first affirmed by the U.S. Food and Drug Administration in 2000 for urology.


UArizona researchers hope autonomous technology can smooth traffic flow AZ Big Media

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University of Arizona researchers are collaborating on an autonomous technology project that could prove autonomous vehicles can improve traffic flow and decrease fuel consumption. The project aims to demonstrate for the first time in real traffic that using intelligent control of a small number of connected and automated vehicles can improve the energy efficiency of all the vehicles by reducing traffic congestion, said Electrical and Computer Engineering (ECE) Professor Jonathan Sprinkle. "More and more passenger vehicles come with features that automate some driving tasks," Sprinkle said. "New advancements in machine learning are showing how small changes to those features can work to address societal-scale challenges, such as the amount of fuel spent while sitting in stop-and-go traffic during a daily commute." The project is being funded through a $3.5 million U.S. Department of Energy cooperative research project.