The primary data source is the RSS corpus which is used both in cOWIDplus Analysis and the cOWIDplus Viewer. The former is a static HTML page that is updated on a weekly basis and seeks to analyze how the diversity of the vocabulary is developing in the light of the coronavirus crisis. The latter is an online application that enables both researchers and the broader public without data processing and analysis skills to explore the development of word forms through time. As time passes and the impact of the coronavirus crisis on language presumably becomes much weaker than in March and April, we believe that the Viewer will still prove to be a valuable tool to explore a historical record of German press language during a global crisis. Also, it enables the research community to compare the effects of such a (hopefully) singular event like this global pandemic to other events with large-scale implications (e.g., the US presidential elections later in 2020). In addition, we argued that the Viewer can also be used to analyze developments in vocabulary as close to real-time as possible. One obvious expansion of the scope would be to include more RSS sources in the corpus. This would expand the coverage of German language sources but would also allow the construction of corpora for other languages.

The Covid-19 coronavirus crisis is accelerating the pace of digital transformation among companies of all shapes and sizes, and the public sector is no exception, as decision-makers rally to find digital solutions to meet fast-changing requirements despite underlying legacy challenges. While the immediate focus is to limit the human, social and economic loss, operating in the "new normal" will mean extra pressure on IT in the months to come. Public sector bodies need to use digital channels to inform and serve citizens, while at the same time, many functions have gone all-digital during the coronavirus outbreak, increasing demand for efficient back-end systems. The pandemic has exposed the need to improve technology efficiency for the continuity of government. Computer Weekly spoke to specialists operating in the public sector to gain an overall view of the key trends and hurdles facing buyers as the crisis unfolds.

Early this spring as the pandemic began accelerating, AJ Venkatakrishnan took genetic data from 10,967 samples of the novel coronavirus and fed it into a machine. The Stanford-trained data scientist did not have a particular hypothesis, but he was hoping the artificial intelligence would pinpoint possible weaknesses that could be exploited to develop therapies. He was awed when the program reported back that the new virus appeared to have a snippet of DNA code - "RRARSAS" - distinct from its predecessor coronaviruses. This sequence, he learned, mimics a protein that helps the human body regulate salt and fluid balance. Venkatakrishnan, director of scientific research and partnerships at AI start-up Nference, wondered whether this change might allow the virus to act as a kind of Trojan horse. Could this explain its high infection and transmission rates?

"He's my baby," she tells me over Zoom, holding up a puppy to the camera. I laugh and say, "Who's a good robot?" Lucky barks again, and the sound is convincing, as if it's coming from a real dog. He's got a tail that wags, eyes that open and close, and a head that turns to face you when you talk. Under his synthetic golden fur, he has sensors that respond to your touch and a heartbeat you can feel. LeRuzic, who lives in a rural area outside Albany, is fully aware that her pet is a robot. But ever since she got him in March, he's made her feel less lonely, she says.

Robots are supposed to steal our jobs – so why haven't they during the coronavirus crisis? Robots are already making some progress in healthcare settings, but they need more support if they're to make a real difference

These perspectives are flat-out wrong and/or miss the point of what digital transformation is. For starters, the relatively small minority of consumers--25%--who plan to make less (or no) use of branches going forward is a pretty weak argument for transformation. Who says that they won't start using the phone to make voice calls to call centers more often? Second, banks are not "moving quickly" to providing "personalized solutions that can be delivered seamlessly." That simply doesn't happen in a three-month time frame, and especially during one when financial institutions are scrambling to adapt to a crisis.

As CEOs the world over realise the importance of investments in automation that can remove some risk of dependence on humans and adapt without intervention to demand fluctuations in such uncertain times, they should automate but with empathy, says a new report. In the long run, the march of automation across the enterprise is inexorable. While this trend is consistent with earlier recessions and recoveries, modern intelligent automation technologies increasingly encroach on cognitive areas of human labour and interaction. Many of these, such as machine learning, are "fuzzy" and can inherit biases in training data or challenge the superiority of humans in the human-machine collaboration equation, according to the report titled "The COVID-19 Crisis Will Accelerate Enterprise Automation Plans". "Workers and leaders will require new skills, behaviours and mindsets. The specter of a jobless recovery is real, and the human impact of the crisis on the workforce will continue into recovery," said Leslie Joseph, Principal Analyst with Forrester.

Over the past half a decade or so, artificial intelligence has become one of the most important creations of the tech industry, and plenty of companies specializing in this particular niche have sprouted. Consequently, investors who wish to cash in on this fast-growing and highly innovative sector may want to start tracking some of the artificial intelligence stocks on the market. The coronavirus crisis may have resulted in major disruptions in many industries, but it could actually speed up the adoption of artificial industries at a much larger scale. Hence, now might be a good time for investors to start looking at some artificial intelligence stocks. Here is a closer look at some promising AI stocks.

San Diego-based TuSimple, which operates a separate unit in China, has 40 18-wheelers operating out of its depot in Tucson, Arizona, and is "essentially running 24/7" carrying loads between Phoenix and El Paso, Texas, chief product officer Chuck Price tells Forbes. It's a tiny freight operation compared to the massive fleets of national haulers like J.B. Hunt, Swift, Werner and Amazon AMZN, each with thousands of trucks and drivers, but no company has more self-driving semis than TuSimple, based on U.S. Transportation Department registry data.

Scientists are exploring every possible option for help battling the coronavirus pandemic, and artificial intelligence represents an intriguing avenue. AI has been used to search for new molecules capable of treating Covid-19, to scan through lung CTs for signs of Covid-related pneumonia, and to aid the epidemiologists who tracked the disease's spread early on. The technology is even powering new tracking software that might help identify those walking around with a fever or catch people violating quarantine rules. But how much faith should people really have in these untested tools? In a recent brief, Alex Engler, who studies AI at the Brookings Institution, warned that people should manage their expectations.