Complex Event Recognition (CER) systems have become popular in the past two decades due to their ability to "instantly" detect patterns on real-time streams of events. However, there is a lack of methods for forecasting when a pattern might occur before such an occurrence is actually detected by a CER engine. We present a formal framework that attempts to address the issue of Complex Event Forecasting (CEF). Our framework combines two formalisms: a) symbolic automata which are used to encode complex event patterns; and b) prediction suffix trees which can provide a succinct probabilistic description of an automaton's behavior. We compare our proposed approach against state-of-the-art methods and show its advantage in terms of accuracy and efficiency. In particular, prediction suffix trees, being variable-order Markov models, have the ability to capture long-term dependencies in a stream by remembering only those past sequences that are informative enough. Our experimental results demonstrate the benefits, in terms of accuracy, of being able to capture such long-term dependencies. This is achieved by increasing the order of our model beyond what is possible with full-order Markov models that need to perform an exhaustive enumeration of all possible past sequences of a given order. We also discuss extensively how CEF solutions should be best evaluated on the quality of their forecasts.

If it looks like a penguin and swims like a penguin – but it's actually a robot – then it must be the latest advance in marine sensory equipment. The Quadroin is an autonomous underwater vehicle (AUV): a 3D-printed self-propelled machine designed to mimic a penguin in order to measure the properties of oceanic eddies. It was developed by Burkard Baschek while head of Germany's Institute of Coastal Ocean Dynamics at the Helmholtz Centre Hereon in Geesthacht after he watched more than $20,000 of his equipment sink to the bottom of the Pacific Ocean. Eddies are small ocean currents that other research methods have struggled to capture. They influence all the animals and plants in the seas as well as the Earth's climate, driving roughly 50% of all phytoplankton production.

The Defense Ministry on Tuesday requested a ¥5.4 trillion ($49 billion) budget for fiscal 2022, aiming to accelerate enhancement of capabilities in new domains and promote the development of new technologies to deal with China's growing military presence. The request would exceed a record ¥5.3 trillion allocated in the initial budget for fiscal 2021 started in April, rising for the tenth consecutive year. It does not include outlays linked to hosting U.S. military bases, which have been about ¥200 billion annually. The ministry said it also left out the cost of upgrading 70 F-15 fighter jets. It aims to install Lockheed Martin's air-to-surface standoff missile and will continue negotiations with the United States to decrease the estimated total cost of ¥398 billion.

Japan will begin testing an artificial intelligence-assisted system next fiscal year to automatically detect and track suspicious foreign vessels in its territorial waters, Japan Coast Guard officials said. It is hoped the system will help ease the burden on maritime law-enforcement operations as Japan faces an increase in intrusions into its waters and illegal activities in its exclusive economic zone, particularly by Chinese vessels, they said. The AI-based integrated system, which will monitor satellite data, will enable early detection and prediction of intrusions by analyzing ships' navigation data such as speed, location and direction. The system is expected to have the capability to process data from multiple ships at once, they said. Once a suspicious ship is detected, the coast guard will dispatch vessels.

The Japan Air Self Defense Force (JASDF) had to scramble fighter jets three times over the week to monitor Chinese drones that flew over the East China Sea and the strategic Miyako Strait that opens to the Philippine Sea and the broader Western Pacific Ocean. A People's Liberation Army Tengoen TB-001 Scorpion medium-altitude, long-endurance (MALE) drone flew into the East China Sea northwest of Okinawa Tuesday, prompting JASDF to send fighters to investigate its activities, reported The Drive. A PLA Harbin BZK-005 MALE drone then flew a sortie back and forth through the Miyako Strait Wednesday, followed by another TB-001 through Miyako Strait, which lies southwest of the island of Okinawa, on Thursday. According to the Japanese officials, one Shaanxi Y-8Q maritime patrol plane and one Shaanxi Y-9JB electronic intelligence aircraft accompanied the drones on their flights the last two days. This comes as a testament to PLA's growing unmanned aircraft capabilities and its focus on deploying increasingly sophisticated unmanned aerial vehicles.

The world of AI and Machine Learning has many layers and can be quite complex to learn. Many terms are out there and unless you have a basic understanding of the landscape it can be quite confusing. In this article, expert Eric Enge will introduce the basic concepts and try to demystify it all for you. This is also the first of a four-part article series to cover many of the more interesting aspects of the AI landscape. There are so many different terms that it can be hard to sort out what they all mean.

However, next they ask you to submit a selfie of yourself putting your right hand on your head, to prove that your picture really is of you. You don't know how to contact the man in the stock photo and you're not sure that he would send you a selfie. You do your best, but Bumble rejects your effort. There's no option to change your initially submitted profile photo until you've passed this verification so you abandon this account and start again. You don't want to compromise your privacy by submitting real photos of yourself, so you take a profile picture of Jenna the intern and then another picture of her with her right hand on her head. She is confused but she knows who pays her salary, or at least who might one day pay her salary if the next six months go well and a suitable full-time position is available. You take the same set of photos of Wilson in…marketing?

Glancing at Barcelona's still-unfinished Sagrada Família Roman Catholic basilica, with its famous sandcastle-like exterior, it is easy to get the wrong idea about its architect, Antoni Gaudí, as a carefree, loosey-goosey artist. The whimsical exterior hides a geometrically sophisticated, structurally advanced design--a big part of the reason this grand basilica, begun in 1882, has taken so many decades to build, remaining the world's longest-running ongoing architectural project. This complexity required an utterly different approach to modeling than what architects had typically deployed. Instead of using two-dimensional drawings to guide builders, Gaudí relied heavily on large, high-fidelity plaster models--models that needed to be reverse engineered and rebuilt after extensive damage during the Spanish Civil War. In a separate project, Gaudí pioneered the use of hanging-chain models that enable changes in real time; though he did not use these interactive models on the Sagrada Família, they guided his thinking and prefigured the so-called parametric design software that has been instrumental to the acceleration of the project's pace in recent years.

The past decade has seen a substantial rise in the amount of mis- and disinformation online, from targeted disinformation campaigns to influence politics, to the unintentional spreading of misinformation about public health. This development has spurred research in the area of automatic fact checking, from approaches to detect check-worthy claims and determining the stance of tweets towards claims, to methods to determine the veracity of claims given evidence documents. These automatic methods are often content-based, using natural language processing methods, which in turn utilise deep neural networks to learn higher-order features from text in order to make predictions. As deep neural networks are black-box models, their inner workings cannot be easily explained. At the same time, it is desirable to explain how they arrive at certain decisions, especially if they are to be used for decision making. While this has been known for some time, the issues this raises have been exacerbated by models increasing in size, and by EU legislation requiring models to be used for decision making to provide explanations, and, very recently, by legislation requiring online platforms operating in the EU to provide transparent reporting on their services. Despite this, current solutions for explainability are still lacking in the area of fact checking. This thesis presents my research on automatic fact checking, including claim check-worthiness detection, stance detection and veracity prediction. Its contributions go beyond fact checking, with the thesis proposing more general machine learning solutions for natural language processing in the area of learning with limited labelled data. Finally, the thesis presents some first solutions for explainable fact checking.

The Defense Ministry will seek another record budget of over ¥5.4 trillion ($49 billion) for fiscal 2022, aiming to beef up its capabilities around remote southwestern islands to counter China's growing naval activities, government sources have said. The request would exceed the ministry's highest-ever ¥5.3 trillion initial budget for fiscal 2021, which started in April, and also reflects an increase in the cost to develop cutting-edge technologies, such as unmanned aircraft using artificial intelligence, the sources said Thursday. The defense budget could further expand, possibly topping 1% of Japan's gross domestic product, when it is finalized in December, as the request excludes outlays linked to hosting U.S. military bases. Japan's defense budget has long stayed at around 1% of its GDP, in light of the country's postwar pacifist Constitution and since the Cabinet decided in 1976 that the outlays should not exceed 1%. The last time the defense expenditure exceeded 1% was in fiscal 2010, when the GDP shrank sharply following the 2008-2009 global financial crisis.