We present CoDEx, a set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia that improve upon existing knowledge graph completion benchmarks in scope and level of difficulty. In terms of scope, CoDEx comprises three knowledge graphs varying in size and structure, multilingual descriptions of entities and relations, and tens of thousands of hard negative triples that are plausible but verified to be false. To characterize CoDEx, we contribute thorough empirical analyses and benchmarking experiments. First, we analyze each CoDEx dataset in terms of logical relation patterns. Next, we report baseline link prediction and triple classification results on CoDEx for five extensively tuned embedding models. Finally, we differentiate CoDEx from a popular link prediction benchmark by showing that CoDEx covers more diverse and interpretable content, and contains fewer relation patterns that can be covered by trivial frequency-based rules. Data, code, and pretrained models are available at https://github.com/tsafavi/codex.

Two men have been indicted on charges stemming from the hacking of dozens of websites based in the United States, actions that the federal authorities said were taken in retaliation for the death in an American drone strike of Maj. The men, Behzad Mohammadzadeh and Marwan Abusrour, were charged with conspiracy to commit intentional damage to a protected computer and intentional damage to a protected computer, according to the indictment, which was dated Sept. 3 and unsealed on Tuesday. Mr. Mohammadzadeh, a citizen of Iran who the authorities believe is about 19 years old, and Mr. Abusrour, who is about 25 and whom the indictment identifies as "a stateless national of the Palestinian Authority," are believed to be in their home countries. The indictment, announced by the U.S. Attorney's Office for the District of Massachusetts, did not identify or describe the approximately 51 websites that were attacked. The attacks began days after American officials announced the death of General Suleimani, Iran's most powerful security and intelligence commander, in a drone strike at Baghdad International Airport on Jan. 2, according to the indictment.

Cyber threats continue to escalate in both sophistication and volume. Traditional approaches to threat detection, however, are no longer sufficient to ensure protection. Correspondingly, machine learning (ML) has proven highly effective at identifying and warding off cyber attacks. Machine learning's power is the result of three factors: data, compute power and algorithms. Due to its very nature, the cyber field produces substantial amounts of data.

C3.ai, a leading enterprise artificial intelligence (AI) software provider for accelerating digital transformation, welcomes data scientists, developers, researchers, and creative thinkers from around the world to participate in the C3.ai COVID-19 Grand Challenge. The competition invites participants to leverage data science techniques in new and innovative ways to generate insights that previously were neither apparent nor achievable. "The C3.ai COVID-19 Grand Challenge represents an opportunity to inform decision makers at the local, state, and federal levels and transform the way the world confronts this pandemic," said Thomas M. Siebel, CEO of C3.ai. "As with the C3.ai COVID-19 Data Lake and the C3.ai Digital Transformation Institute, this initiative will tap our community's collective IQ to make important strides toward necessary, innovative solutions that will help solve a global crisis."

Computational modelling has been brought under the spotlight during the COVID-19 pandemic, with scientists trying to predict how the SARS-CoV-2 virus will spread. On 23 March 2020 UK prime minister Boris Johnson announced a lockdown to tackle the spread of coronavirus, following the example of other countries around the world who chose this strategy to halt the virus' progression. This decision came days after Johnson's government toyed with the idea of letting the virus spread and infect up to 70% of the population, in order to develop so-called "herd immunity". The stark policy shift left people wondering what had changed. They predicted that should no action be taken, the death toll in the UK could reach 500,000, and may exceed 2 million in the US.

Two-thirds of senior executives across industries -- and nearly nine out of ten leaders from the world's largest enterprises -- believe AI is vitally important for the future of their businesses and will be increasing AI investment in the post-pandemic era. However, significant challenges remain on delivering ROI from AI investment. An ESI ThoughtLab study of 1,200 organisations has revealed that companies are generating on average an ROI of only 1.3%, while 40% of AI projects are not yet profitable. The reason for this, according to the research, is that AI initiatives require time, expertise and scale to deliver on their promise of high returns. With the pandemic speeding up the need for quick data-driven decision-making, companies should act now to develop the skills, platforms, and processes that can enable them to achieve the full strategic, operational, and financial benefits from AI.

A collection of current and past presidential advertising materials hang on a wall in November in the visitor center of the New Hampshire State House in Concord, N.H. A collection of current and past presidential advertising materials hang on a wall in November in the visitor center of the New Hampshire State House in Concord, N.H. Decades before Google or Facebook existed, a Madison Avenue advertising man started a company called Simulmatics based on a then-revolutionary method of using computers to forecast how people would behave. Formed in 1959, Simulmatics charged clients a hefty fee to access its "people machine" -- a computer program that drew on polling information and behavioral science to predict mathematically the impact of an advertising pitch or political message. The New Yorker's Jill Lepore writes about Simulmatics in her new book, If Then: How the Simulmatics Corporation Invented the Future.

Tech start-up Areto Labs noticed online abuse was stopping women from going into politics – so it did something about it. "Imagine you have a job interview and every day, for a month, you have to walk down a dark alley, knowing the worst people in the world are in that alley and they will yell and scream at you," proposes Aucklander Jacqueline Comer, a creative technologist. "If you knew that, you wouldn't apply for the job. And, unfortunately, that's what women in politics have to put up with." Most people in the public eye cop some online criticism, but women get some of the most violent.

If, as we have seen in recent months, the rate of digital transformation has gone beyond anything we have seen in the past, it has also opened up many enterprises to attack in ways that have never been possible until now. Each time an organization adds new technology to the digital workplace it exposes itself to new risks. However, there are also new ways to protect their digital assets, just as there are new ways to ensure productivity. At the end of last year, Capgemini released research into how organizations are turning to artificial intelligence (AI) to protect their digital properties. Titled Reinventing Cybersecurity with Artificial Intelligence, it showed that 42% of the companies studied had seen a rise in security incidents through time-sensitive applications.

IMAGE: Working in coal mines might make people more susceptible to serious complications from COVID-19. Larissa Casaburi, a researcher in the WVU School of Medicine, is using artificial intelligence to study... view more Artificial intelligence can do more than recommend a song or suggest what to write in an email. It might even be able to predict outcomes in COVID-19 patients. Larissa Casaburi, a researcher in the West Virginia University School of Medicine, is using artificial intelligence to study how being a coal miner affects COVID-19 outcomes. She's also investigating the ways smoking, vaping and having a chronic lung condition influence how COVID-19 patients fare.