Future predictions on sequence data (e.g., videos or audios) require the algorithms to capture non-Markovian and compositional properties of high-level semantics. Context-free grammars are natural choices to capture such properties, but traditional grammar parsers (e.g., Earley parser) only take symbolic sentences as inputs. In this paper, we generalize the Earley parser to parse sequence data which is neither segmented nor labeled. This generalized Earley parser integrates a grammar parser with a classifier to find the optimal segmentation and labels, and makes top-down future predictions. Experiments show that our method significantly outperforms other approaches for future human activity prediction.

With the world moving towards being increasingly dependent on computers and automation, one of the main challenges in the current decade has been to build secure applications, systems and networks. Alongside these challenges, the number of threats is rising exponentially due to the attack surface increasing through numerous interfaces offered for each service. To alleviate the impact of these threats, researchers have proposed numerous solutions; however, current tools often fail to adapt to ever-changing architectures, associated threats and 0-days. This manuscript aims to provide researchers with a taxonomy and survey of current dataset composition and current Intrusion Detection Systems (IDS) capabilities and assets. These taxonomies and surveys aim to improve both the efficiency of IDS and the creation of datasets to build the next generation IDS as well as to reflect networks threats more accurately in future datasets. To this end, this manuscript also provides a taxonomy and survey or network threats and associated tools. The manuscript highlights that current IDS only cover 25% of our threat taxonomy, while current datasets demonstrate clear lack of real-network threats and attack representation, but rather include a large number of deprecated threats, hence limiting the accuracy of current machine learning IDS. Moreover, the taxonomies are open-sourced to allow public contributions through a Github repository.

This document gives a knowledge-oriented analysis of about 20 interesting Recognizing Textual Entailment (RTE) examples, drawn from the 2005 RTE5 competition test set. The analysis ignores shallow statistical matching techniques between T and H, and rather asks: What would it take to reasonably infer that T implies H? What world knowledge would be needed for this task? Although such knowledge-intensive techniques have not had much success in RTE evaluations, ultimately an intelligent system should be expected to know and deploy this kind of world knowledge required to perform this kind of reasoning. The selected examples are typically ones which our RTE system (called BLUE) got wrong and ones which require world knowledge to answer. In particular, the analysis covers cases where there was near-perfect lexical overlap between T and H, yet the entailment was NO, i.e., examples that most likely all current RTE systems will have got wrong. A nice example is #341 (page 26), that requires inferring from "a river floods" that "a river overflows its banks". Seems it should be easy, right? Enjoy!

The Department of Energy pulled back the curtain on the world's most powerful supercomputer Friday. When Summit is operating at max capacity, it can run at 200 petaflops -- that's 200 quadrillion calculations per second. That smokes the previous record holder, China's Sunway TaihuLight (which has a 93 petaflop capacity). Summit is also about seven times faster than Titan, the previous US record holder which is housed at the same Oak Ridge National Lab in Tennessee. For perspective, in one hour, Summit can solve a problem that it would take a desktop computer 30 years to crack.

If you didn't already know, Canada is becoming a major hub for AI research. Samsung has opened up an AI Centre (that's the Canadian spelling of Center) in Toronto. This is their second big lab in North America, with the other one being located near Google in Mountain View, California. This new location will help foster AI across a wide range of devices, including self-driving cars to smart appliances. What might be even more interesting is where Samsung is going to be located.

Gaming retailer Steam will continue to allow controversial content on its online store, the company has confirmed. The announcement comes less than a month after Steam was heavily criticised for allowing a school shooting simulator, which allowed players to take on the role of a gunman on a murderous rampage inside a school, on its online store. Steam eventually pulled the video game, dubbed'Active Shooter', after more than 271,900 people signed an online petition calling for its removal. The move appears to have prompted the online retailer, which is owned by Valve, to review its screening policy. Steam has now confirmed that it will not remove any content from its online store simply because some users deem it to be in bad taste.

A cyber attack on a commercial aircraft is "only a matter of time", US government researchers have claimed in a report. "Potential of catastrophic disaster is inherently greater in an airborne vehicle," the Pacific Northwest National Laboratory – a laboratory within the Department of Energy - suggested. It was one of a series of a series of documents and slides from the Department of Energy and the Department of Homeland Security (DHS), as well as other agencies, which were obtained by a Freedom of Information Act request by the Motherboard website. GCHQ to brief England over Playstation and smartphone cyber-attacks Britain'must be prepared to launch cyber attacks on enemies' If Russia launches a cyber attack on the UK, this is what we can do UK anti-doping agency hit by cyber attack Britain'must be prepared to launch cyber attacks on enemies' The same research from the Pacific Northwest National Laboratory also claimed that it was "a matter of time before a cyber security breach on an airline occurs." It is not the first time concerns have been raised about the security vulnerabilities of commercial aircraft.

A funny thing has happened to Google and Amazon on their path toward high-tech success: They have become crucial cogs in the U.S. national security establishment. Both companies are expanding teams of employees with security clearances to work on projects that include deploying artificial intelligence and building digital "clouds" to offering law enforcement facial recognition tools that can even read the mood of people caught on camera. The security establishment's embrace of Big Tech has ruffled the feathers of traditional defense contractors and roiled employee ranks, in Google's case, over whether the company is being drawn into what disguntled employees called "the business of war." Defense industry analysts say the Pentagon views Big Tech, and particularly Google with its deep bench of artificial intelligence researchers, as vital to the nation's future safety. "They are becoming a critical part of national security, without question," said Alexander Rossino, a senior principal research analyst at Deltek, a Herndon, Virginia, firm that offers software and services to defense?

The competition for the world's fastest computer, ranked twice a year by computer scientists in the U.S. and Germany, is a point of national pride. The last time a U.S. computer held the top spot was in November 2012. The next ranking on June 25 comes against a backdrop of escalating tensions between the U.S. and China over trade and leadership in artificial intelligence and 5G wireless networks, advanced technologies deemed vital to national security. The new supercomputer, dubbed Summit and housed at the agency's Oak Ridge National Laboratory in Tennessee, can perform 200,000 trillion calculations a second, according to IBM--200 petaflops in industry parlance. That is eight times more powerful than Titan, a supercomputer made by Cray Inc., the lab's previous top performer.

Launching at Singapore port's Marina South Pier in quarter three 2018, Wilhelmsen Ships Service and Airbus will be piloting the delivery of spare parts, documents, water test kits and 3D printed consumables via Airbus' Skyways unmanned air system (UAS) to vessels at anchorage. With the signing of an MOU at maritime trade show Posidonia, the Maritime UAS project agreement covers a joint ambition to establish a framework for cooperation between the Parties, with the aim of investigating the potential deployment and commercialization of UAS for maritime deliveries use cases. Marking the very first time, the viability of autonomous drone delivery to vessels has been put to the test in hectic, real-world port conditions, Marius Johansen, VP Commercial, Ships Agency at Wilhelmsen Ships Service is confident with Airbus now onboard his agency team's long-term drone delivery aspirations will be fulfilled. "We are absolutely thrilled to be working with a forward thinking, industry leader like Airbus. When we announced last year that we were pursuing drone delivery, we were greeted with a fair amount of scepticism, but our collaboration with Airbus, shows we really do mean business".