'View' co-host Joy Behar didn't hold back when commenting on President Trump's heavy criticism of freshmen Democratic congresswomen, Reps. Behar said Trump is'running very scared right now,' and that'he is like a cornered rat.' Her comments came as Trump stood by his original criticism of the group known as'The Squad.' "View" co-host Joy Behar invoked George Orwell's iconic novel "1984" while discussing the Trump presidency with author Stephen King. While promoting his new novel, "The Institute," on Wednesday, King began by explaining the plot, which involves "defenseless children" with supernatural abilities who are "locked up" by a mysterious organization. He talked about how his story connects to current events. "When I started writing this book, I just wanted to write a story about defenseless children who were locked up and had to kind of band together in order to fight these cruel adults that are performing tests on them," King said.

Researchers from Penn State and Carnegie Mellon University (CMU) have received a $1.2 million grant from the United States Department of Energy (DOE) to use machine learning -- a form of artificial intelligence -- and data science to design more effective catalysts for chemical processing. The grant is part of a new initiative by the DOE to provide $27.6 million in grants for data science research in chemical and materials sciences. A catalyst is a stable chemical substance that, when added to a chemical reaction, increases the rate of reaction without becoming part of the reaction. "It is important to recognize how widespread the use of catalysts is," said Michael Janik, Penn State professor of chemical engineering and principal investigator for the study. "About 90% of chemical products people are using every day, like gasoline and fine chemicals that are in shampoo, are going through some sort of catalytic process before they're used."

American healthcare organizations face serious personnel shortages across the field of nursing, with the current (and projected) demand for registered nurses (RNs) far exceeding the supply of qualified candidates. The U.S. Bureau of Labor Statistics projects that by the year 2022, the U.S. job market will need 1.1 million new registered nurses (RNs) to replace retirees and fill new positions created by changing patient demographics (including the aging baby-boomer population). High RN vacancy rates are not only expensive, but they can trigger a vicious, perpetual cycle of negative impacts; including overburdening current staff as well as the exorbitant costs associated with backfilling and hiring contract staff. These conditions, if left unchecked, will ultimately lead to negative impacts on patient care and customer service. One of the most effective ways to minimize the impact of nurse attrition on your organization is by building a data model that uses artificial intelligence (AI) with machine learning capabilities to produce predictive analytics on nurse attrition.

In recent years, various governments, international organisations, civil society groups and technology companies have issued documents outlining their principles around the development and use of Artificial Intelligence (AI). Yet, the world appears to be no closer to a universal set of AI norms. This brief suggests a rethinking of how AI norms should be formulated and outlines key lessons. First, technology firms reflect certain human biases that do not do justice to their global consumer base and make them unsuitable to lead the setting of AI principles. Second, while norms are ambiguous by design, the misuse of this ambiguity by actors to justify rights violations sets a dangerous precedent. Third, no single regulation can account for the consequences of the same AI application deployed in different contexts.

In spite of incidents of inaccuracy and bias, agencies like Artificial Intelligence (AI) court judges are starting to get accepted. However, AI has a lot to learn before we allow it to judge our moral behavior. Ganes Kesari, Co-Founder and Head of Analytics at Gramener, tells The Sociable that right now AI is not ready to take decisions on cases, and even in the future, it would be better off in the court in an assistant's role. AI needs to acquire skills in'understanding' context and interpreting scenarios "Today, AI is more suited to play the role of a judicial assistant than that of a criminal judge. It is smart at processing details, summarizing cases and looking up references. It is not ready to take decisions on cases just as yet," he says.

The social media giant is putting $10 million into the "Deepfake Detection Challenge," which aims to spur detection research. As part of the project, Facebook is commissioning researchers to produce realistic deepfakes to create a data set for testing detection tools. The company said the videos, which will be released in December, will feature paid actors and that no user data would be utilized. In the run-up to the U.S. presidential election in November 2020, social platforms have been under pressure to tackle the threat of deepfakes, which use artificial intelligence to create hyper-realistic videos where a person appears to say or do something they did not. While there has not been a well-crafted deepfake video with major political consequences in the United States, the potential for manipulated video to cause turmoil was recently demonstrated by a "cheapfake" clip of House Speaker Nancy Pelosi, manually slowed down to make her speech seem slurred.

The European Commission is launching a tender for two studies to survey and analyse progress on the digital transformation of the health and care in the EU, in particular with regard to citizens' access to their electronic health records (EHR) in the EU Member States and the development, adoption and use of artificial intelligence (AI) technologies in the health and care sector in the EU. The call for tender includes two specific studies (i.e. The maximum amount allocated to the studies is EUR 300 000 for Lot I and EUR 200 000 for Lot II. The closing date of the call is 23 September 2019 at 15:00. The detailed tender specifications and more information about the procedure and eligibility conditions are available on TED.

So, a few months ago, I was walking down the street in Shenzhen, in the Guangdong Province of southeastern China. I was hungry and looking for lunch. Armed with my credit card and plenty of the local currency, I strode out of my hotel to check out the many street vendors selling delicious-smelling food. Using Google Translate, I was able to order a fried fish dish, but when I went to pay, the vendor refused my credit card. Undaunted I pulled out cash, but that too was refused. The guy pointed me to a large QR code and asked me to pay using the WeChat app. As this was my first day in China, I hadn't yet set the app to pay for things, so I walked away, a little embarrassed. Still hungry, I came to a large junction and saw a promising looking restaurant across a busy street.

The AI Negotiation system is backed by founders of Skype and TransferWise and built by luminaries from Skype, Starship Technologies and the Government of Estonia's e-Residency program Launching today, Pactum is an AI-based system that helps global companies to autonomously offer personalized, commercial negotiations on a massive scale. The Mountain View, California company, with engineering and operations in Estonia, has raised an initial $1.15 Million in pre-seed funding to augment negotiation and AI capabilities as well as scale operations. Pactum has also filed the patent this week related to its technology IP. Inefficient contracting has been estimated to cause firms to lose between 17% to 40% of the value on a given deal, depending on circumstances, according to research by KPMG. Pactum's AI helps companies improve their bottom line by implementing bespoke negotiation services for large volumes of incremental partners in every market, that might have previously been unmanaged.

A deepfake video presents a realistic AI-generated image of a real person saying or doing fictional things. Perhaps the most famous such video to date portrayed Barack Obama calling Donald Trump a "dipshit." Facebook is creating a "Deepfake Detection Challenge," which will offer grants and awards in excess of $10 million to people developing promising detection tools. The social network is teaming up with Microsoft and the Partnership on AI (which includes Amazon, Google, DeepMind, and IBM), as well as academics from MIT, Oxford, Cornell Tech, UC Berkeley, and others on the effort. The tech companies will contribute cash and technology and will help with judging detection tools, a Facebook spokesperson told me.