Now that artificial intelligence (AI) has clawed its way into the mainstream, some vendors want us to forget it is there. What really matters, they say, is the end result. Knowing that AI is the reason for the conclusions is a needless distraction, they say. But being distracted may be better in the long run than not being able to judge the validity of the underlying process. If radiologists want to secure a future as key opinion leaders (KOL), they need to take control of AI now.

Video games have always been a source of solace in tough times for Rosemary Kelley. Now, as everything across the U.S. is being shut down and slowed down, the 25-year-old has her game controller in hand again. "I originally had every single weekend booked, and now I have nothing," she said. For Kelley, an esports caster and host for games like "Pokémon," "Overwatch" and "Hearthstone," the worsening coronavirus pandemic has led to a halt in bookings and an array of cancellations for events. The Game Developer's Conference, known as GDC, supposed to happen in March is now postponed to the summer.

The index combines technology--developed at the Wright State University KNO.E.SIS Innovation Center in Dayton, Ohio--with behavioral psychology to analyze conversations across social platforms like Twitter, Reddit, and blogs. The text, and its context, are categorized into emotions (joy, anger, disgust, fear, sadness, surprise) using machine learning. Then it's all translated into behavioral signals, which are calibrated on a scale of zero to 100--zero being "at home emotionally" and 100 being somewhere near "nervous breakdown." The points are then plotted on a map.

Brainstorm guest contributor Paul Fraumeni speaks with four York U researchers who are applying artificial intelligence to their research ventures in ways that, ultimately, could lead to profound and positive impacts on health care in this country. Meet four York University researchers: Lauren Sergio and Doug Crawford have academic backgrounds in physiology; Shayna Rosenbaum has a PhD in psychology; Joel Zylberberg has a doctorate in physics. They share two things in common: They focus on neuroscience – the study of the brain and its functions – and they leverage advanced computing technology using artificial intelligence (AI) in their research ventures, the application of which could have a profound and positive impact on health care. In a nondescript room in the Sherman Health Sciences Research Centre, Lauren Sergio sits down and places her right arm in a sleeve on an armrest. It's an odd-looking contraption; the lower part looks like a sling attached to a video game joystick.

In the last two years, large enterprise organizations have been scaling up their artificial intelligence and machine learning efforts. To apply models to hundreds of use-cases, organizations need to operationalize their machine learning models across the organization. At the center of this scaling up effort is ModelOp, the company that builds solutions to scale the processes that take models from the data science lab into production. Even before their recent $6 million Series A funding led by Valley Capital Partners with participation from Silicon Valley Data Capital, they are already the leader providing ModelOps solutions to Fortune 1000 companies. ModelOps is a capability that focuses on getting models into 24/7 production.

China is deploying robots and drones to remotely disinfect hospitals, deliver food and enforce quarantine restrictions as part of the effort to fight coronavirus. Chinese state media has reported that drones and robots are being used by the government to cut the risk of person-to-person transmission of the disease. There are 780 million people that are on some form of residential lockdown in China. Wuhan, the city where the viral outbreak began, has been sealed off from the outside world for weeks. The global death toll from coronavirus topped 2,100 people this week, with over 74,000 infected.

I joined Infosys in June of 2019. The reason I came here is that we have the unique intersection of being able to build an executable strategy. Many services firms love to do strategy work and then fail at execution. Some are great at execution but make everything about price. What drew me to Infosys is that we make it about realized value.

What's dangerous is not to evolve. The darling of consumers and investors alike, Mr. Bezos sure seems to have the future figured out. Amazon today is the most AI driven customer experience platform in the world, besides just being an e-commerce marketplace. Retail has moved from the brick-and-mortar store front to beautiful and highly aesthetic web portals, accessible on any device you use, that seem, at times, shockingly intuitive. The secret ingredient here is AI. The global e-commerce industry, running hosted servers and data-centers around the world has been changing paradigms in how the world shops, for the last five years, and the possibilities seem to be, pardon the cliché, limitless.

Google is hoping to end low quality video calls by deploying artificial intelligence to "fill in" audio gaps caused by bad connections. WaveNetEQ works by using a library of speech data to realistically continue short segments of conversations. The AI is trained to produce mostly syllable sounds, and can fill gaps of up to 120 milliseconds. It comes as the use of video calls has become increasingly important during the corornavirus crisis. When making a call over the internet, data is split into small chunks called packets.

The impact of Artificial Intelligence (AI) goes back to 1950 when the computer programming industry was just starting to boom. For several years many healthcare sectors have used AI and mobile apps for their analytics algorithms, and data visualization tools to try to get ahead of the virus, or at least keep up with it. Through these technologies, experts have the potential to track where the disease will go next, as well as identify drugs that may be effective. So today lets discuss how these technologies have been able to provide help in this global pandemic. As the world is getting more precautious about the Covid19 pandemic, organizations are brainstorming new ideas to handle the situation.