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covid-19 pandemic


Working With Intelligence: How AI Will Reshape Remote Work

#artificialintelligence

Machine learning is already actively increasing employment opportunities for job applicants across the world, while AI could soon eliminate repetitive work entirely – allowing businesses more time to train workers to pick up more skilled tasks. The appeal of remote work is increasing exponentially worldwide. Although companies have been somewhat slower in embracing remote work, the COVID-19 pandemic has inadvertently showcased how technology can allow employees to operate at similar levels of productivity with ease – despite being outside of their workplace. With COVID-19 forcing more workers than ever to set up offices in their own home, will office life ever be the same again for workforces? Could both AI and machine learning really sustain a working from home (WFH) culture for more companies?


The Newest Listed Stock in the $100B USD Digital Ad Space

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Nowhere is more apparent than the massive growth within the online marketing advertising sector. The effects of lockdowns and quarantines forcing companies to operate remotely and keeping people at home shone a light on increased software use, digital reliance, and online advertising. Before the pandemic, the largest companies in the world were already tech giants. All of the big five have fought for and earned revenue from software services, but the growing advertising slice of the pie had become dominated by the duopoly of Facebook (NASDAQ:FB) and Alphabet (NASDAQ:GOOG). Now, that media advertising market has grown to US $100 billion largely on advertising revenue and digital ad spending that are both forecasted to keep increasing.


Google has an answer to keeping your work and school life at home on time amid COVID-19 pandemic: Family Bell

USATODAY - Tech Top Stories

There are many things about doing school at home that aren't much like being at school. No lines of cars with kids dragging oversized backpacks, no recess games and no bells to alert students when to get to class. For people who like visual and audio cues for when to get kids in front of their computers for class, like those iconic school bells,, Google introduces the new "Family Bell," feature today. It's part of the Google Assistant, whether on phones and tablets with an app or the connected speakers and display units. Family Bell is a reminder that can set to announce when it's time for the class, "take a break, settle in for reading time, have a snack or even for bedtime," notes Lilian Rincon, Senior Director of Product Management for the Google Assistant.


How are Cobots Making a Difference to the Enterprise During the Covid-19 Pandemic?

#artificialintelligence

The Covid-19 pandemic has bought a revolutionary change in how enterprises are working by keeping social distancing in mind to ensure business continuity is assured during the ongoing coronavirus era. This has paved the way for the new kind of co-workers, characterised by robotic technology and powered by Artificial Intelligence. The year 2020 is different of sorts. Enterprises the world over did never anticipate Coronavirus to hit their functionaries so bad. To mitigate the global supply chain risks, trade pundits expect that manufacturers will insource automation to keep the supply cycle moving.


LG Q2 profits feel the brunt of COVID-19

ZDNet

LG Electronics has posted 495.4 billion won in operating profits and sales of 12.8 trillion won for the second quarter of 2020. It is a drop of around 24% and almost 18%, respectively, from a year prior. LG said its results were affected significantly by the worldwide impact of the COVID-19 pandemic. LG's home appliance business, its main profit contributor, posted operating profits of 628 billion won, down 12.5% from a year prior. The company stressed, however, that the margin rate for the business during the second quarter was 12.2% thanks to strong sales from its premium products and cost-cutting efforts.


MIT Using Artificial Intelligence to Help Put an End to the COVID-19 Pandemic

#artificialintelligence

C3.ai Digital Transformation Institute awards $5.4 million to top researchers to steer how society responds to the pandemic. Artificial intelligence has the power to help put an end to the Covid-19 pandemic. Not only can techniques of machine learning and natural language processing be used to track and report Covid-19 infection rates, but other AI techniques can also be used to make smarter decisions about everything from when states should reopen to how vaccines are designed. Now, MIT researchers working on seven groundbreaking projects on Covid-19 will be funded to more rapidly develop and apply novel AI techniques to improve medical response and slow the pandemic spread. Earlier this year, the C3.ai DTI) formed, with the goal of attracting the world's leading scientists to join in a coordinated and innovative effort to advance the digital transformation of businesses, governments, and society.


Zillow to launch self-tours of unoccupied homes, digital floor plans

ZDNet

Most every organization has been thrust into the future of work. What will determine failure or success in this brave new world? Zillow said it is launching self-tours to its owned inventory to minimize contact and enable unoccupied home tours on flexible schedules via its app. The move comes as Zillow has stepped up its purchases of real estate inventory to sell them using data and algorithms to boost profit margins. Zillow has said that its 3D Home tours have accelerated during the COVID-19 pandemic.


Texas stadiums helping fight coronavirus with disinfectant-spraying drones

FOX News

The Cotton Bowl is the first stadium in Texas to take a chance on the technology, which has the capability of disinfecting a 92,000 person stadium within 4 hours. DALLAS -- Stadiums are looking for ways to bring fans back to the stands in time for fall sports despite the coronavirus outrbreak, leading some Texas facilities to turn to drones for help. Cotton Bowl senior marketing director Julian Bowman describes the feeling of seeing the iconic Cotton Bowl Stadium in Dallas empty for the last few months, saying, "It is a weird feeling." "The Cotton Bowl opened up in 1930, so this was our 90th year and it was set to be our best year ever and unfortunately with COVID we are not able to do that," Bowman said. "It has really affected how we have been able to connect with our sports community and our entertainment community." The last event the Cotton Bowl was able to host was in January of 2020, before COVID-19 shut them down.


UVA Uses Machine Learning, Quantum Computing to Study Genetic Disease - Scigazette.com

#artificialintelligence

A team from the University of Virginia School of Medicine is leveraging the power of quantum computing to gain better insight into genetic diseases with machine learning. Although quantum computers are still in their infancy, the researchers noted that when they do advance, they could offer computing power on a scale that's unimaginable on traditional computers. "We developed and implemented a genetic sample classification algorithm that is fundamental to the field of machine learning on a quantum computer in a very natural way using the inherent strengths of quantum computers," said Stefan Bekiranov, PhD. "This is certainly the first published quantum computer study funded by the National Institute of Mental Health and may be the first study using a so-called universal quantum computer funded by the National Institutes of Health." Quantum computers can consider significantly more possibilities than traditional computer programs.


Why AI fell short in slowing the spread of COVID-19

#artificialintelligence

This spring, much of the healthcare industry hoped that artificial intelligence could be a key tool in stemming the spread of the COVID-19 pandemic across the world. "We in healthcare were shooting for the moon, but we hadn't gotten out of our own backyard," said Kohane. In the United States there were several attempts to use aggregate data from electronic health records. Kohane used Epic as an example, pointing to its system to predict severity of disease based on admissions. "It didn't perform very well at all," said Kohane.