The Hawkes process has become a standard method for modeling self-exciting event sequences with different event types. A recent work generalizing the Hawkes process to a neurally self-modulating multivariate point process enables the capturing of more complex and realistic influences of past events on the future. However, this approach is limited by the number of event types, making it impossible to model the dynamics of evolving graph sequences, where each possible link between two nodes can be considered as an event type. The problem becomes even more dramatic when links are directional and labeled, since, in this case, the number of event types scales with the number of nodes and link types. To address this issue, we propose the Graph Hawkes Network to capture the dynamics of evolving graph sequences. Extensive experiments on large-scale temporal relational databases, such as temporal knowledge graphs, demonstrate the effectiveness of our approach.

New machine translations (MT) technologies are emerging rapidly and with them, bold claims of achieving human parity such as: (i) the results produced approach "accuracy achieved by average bilingual human translators" (Wu et al., 2017b) or (ii) the "translation quality is at human parity when compared to professional human translators" (Hassan et al., 2018) have seen the light of day (Laubli et al., 2018). Aside from the fact that many of these papers craft their own definition of human parity, these sensational claims are often not supported by a complete analysis of all aspects involved in translation. Establishing the discrepancies between the strengths of statistical approaches to MT and the way humans translate has been the starting point of our research. By looking at MT output and linguistic theory, we were able to identify some remaining issues. The problems range from simple number and gender agreement errors to more complex phenomena such as the correct translation of aspectual values and tenses. Our experiments confirm, along with other studies (Bentivogli et al., 2016), that neural MT has surpassed statistical MT in many aspects. However, some problems remain and others have emerged. We cover a series of problems related to the integration of specific linguistic features into statistical and neural MT, aiming to analyse and provide a solution to some of them. Our work focuses on addressing three main research questions that revolve around the complex relationship between linguistics and MT in general. We identify linguistic information that is lacking in order for automatic translation systems to produce more accurate translations and integrate additional features into the existing pipelines. We identify overgeneralization or 'algorithmic bias' as a potential drawback of neural MT and link it to many of the remaining linguistic issues.

A challenge on the data science community site Kaggle is asking great minds to apply machine learning to battle the COVID-19 coronavirus pandemic. As COVID-19 continues to spread uncontrolled around the world, shops and restaurants have closed their doors, information workers have moved home, other businesses have shut down entirely, and people are social distancing and self-isolating to "flatten the curve." It's only been a few weeks, but it feels like forever. If you listen to the scientists, we have a way to go still before we can consider reopening and reconnecting. The worst is yet to come for many areas.

Mr. Kant is a former firefighter, paramedic and emergency manager with a proven history of saving lives with innovation, applying operational expertise, and offering hands-on guidance at significant events and disasters worldwide. He serves as the disaster portal coordinator for the International Association of Emergency Mangers and works as an innovation entrepreneur. He has been recognized by the Department of Defense, National Geospatial Intelligence Agency, NATO, DHS S&T and others for innovative thinking and applying expert analysis to complex cascading operational interdependencies. During his career, Mr. Kant has supported real-time command/control operations for multiple agencies around the world, including the Florida Night of Tornadoes, the World Trade Center Disaster, hurricanes Katrina and Sandy, and many other significant events and disasters over the past two decades.

The 2010 decade sure had its challenges, but one positive change was the leap in technology capabilities. This holds true not only for consumers, but also for marketers. For example, the proliferation of smartphones with powerful cameras, loads of apps and high-bandwidth mobile networks has changed how we communicate and share ideas. Marketers can promote events on the go, livestream sessions, share pictures and essentially keep people informed -- globally and in real time. In short, we now have a multimedia studio in our hands.

Ken Burns has spent the last 40 years chronicling the most poignant and influential events in American history. The 66-year-old Oscar-nominated filmmaker has crafted definitive and multifaceted histories of the Civil War, baseball, the Roosevelts, cancer, country music and jazz. In an age of short Tweets and shorter attention spans, Burns's films are sprawling, deep-dive studies on topics that simultaneously reveal the best and worst of America. We are living through one of those moments right now as the coronavirus shakes every aspect of American life. With most of the country stuck at home and weathering a torrent of fear and breaking news, Burns is offering an alternative.

Countries around the world – including the US, South Korea and Taiwan – are using artificial intelligence (AI) to help slow the spread of COVID-19. The technology is being used to speed up the development of testing kits and treatments, to track the spread of the virus, and to provide citizens with real-time information. In South Korea, the government mobilised the private sector to begin developing coronavirus testing kits soon after reports of a new virus began to emerge from China. As part of this drive, Seoul-based molecular biotech company Seegene used AI to speed up the development of testing kits, enabling it to submit its solution to the Korea Centers for Disease Control and Prevention (KCDC) three weeks after scientists began working on it. The company's founder and chief executive, Chun Jong-yoon, told CNN that had AI not been used, the process would have taken two to three months.

The government plans to establish a licensing system for operating drones when the flights are beyond the operator's line of sight, government sources said Monday. The proposal comes as the government hopes for increased usage of unmanned vehicles for purposes such as delivering daily necessities and medicine, or assisting security patrols in areas with an aging population, the sources said. The license, which the government hopes will be introduced in fiscal 2022, will be age-restricted, and will require operators to pass both a written and practical examination. The licenses will be only valid for a certain period of time and will have to be renewed. Illegal drone use will lead to the cancellation or suspension of a license.

Beyond Europe's AI Strategy: Global Governance for the Fourth Industrial Revolution Carolina Polito* On 19 February 2020, the European community welcomed the publication of three new documents that will drive the European Digital Agenda for the five years of the new von der Leyen's presidency. The documents are the European data strategy, the White Paper on Artificial Intelligence and the Report on Safety and Liability implications of AI, the Internet of Things and Robotics.[1] Together, these documents offer a comprehensive overview of European priorities for the Fourth Industrial Revolution. The main objective underpinning the European data strategy, informed by the conviction that the value of data lies in its pooling and storage, is the creation of a single European data space in which information flows freely and safely. To accomplish this objective, the EU will establish mechanisms to improve how data is shared, including via common contractual obligations on presentation, so as to make it accessible across member states. Additionally, the EU has planned to allocate 2 billion euro in annual investments as an enabler for its overall data strategy.[2]

As someone educated in science and engineering, I've always considered the pursuit of new technologies a higher calling. As someone raised Roman Catholic, I also tend to pay attention when another high call comes in -- like from the Vatican. Last year, the Vatican reached out to our company, IBM. Pope Francis was worried about technology's effects on society and families around the world and its potential to widen the gap between the rich and poor. How could the world harness AI for the greater good while reducing its potential to be a force for evil? The leader of the world's 1.3 billion Roman Catholics had directed his Pontifical Academy of Life to study the problem.