Artificial intelligence experts point to looming danger amid unpredictable technology and fears that technology could'seduce us into warfare' Experts in artificial intelligence, lawyers and activists organized by the Campaign to Stop Killer Robots gathered at the United Nations on Tuesday to warn against a growing reliance on cheap drones and "stupid AI" that can be unpredictable in the real world. "Terminator always comes up," Toby Walsh, a professor of artificial intelligence at the University of New South Wales, told reporters on Tuesday, referring to the sci-fi cyborg on a mission to wipe out mankind. "But it's not really Terminator that we're worried about at the moment. I think that Terminator is perhaps 50 or so years away." But there are concerning technologies "only a few years, at best, away", Walsh said, and with semi-autonomous systems, such as drones, "it would take very little to remove the human from that loop and replace them with a computer".

IBM's Watson may be most famous for winning at the game show "Jeopardy!" In a room at IBM offices, software developers and business customers can query the famous computer and see a demonstration of its work as a research partner in fields ranging from land use to medicine. The room itself has a display wall on one side and a touch screen in the center and near the window. In a recent demonstration of how the machine approaches search queries, Rachel Liddell, a "Watson Experience Leader," used the central touch screen to search through a series of TED talks. As she touched the screen to look up lectures on human psychology, Watson created a set of associated topics, such as "education," and touching one of those words generated more specific topics that appeared in the talk.

A Robust Markov Decision Process (RMDP) is a sequential decision making model that accounts for uncertainty in the parameters of dynamic systems. This uncertainty introduces difficulties in learning an optimal policy, especially for environments with large state spaces. We propose two algorithms, RTD-DQN and Deep-RoK, for solving large-scale RMDPs using nonlinear approximation schemes such as deep neural networks. The RTD-DQN algorithm incorporates the robust Bellman temporal difference error into a robust loss function, yielding robust policies for the agent. The Deep-RoK algorithm is a robust Bayesian method, based on the Extended Kalman Filter (EKF), that accounts for both the uncertainty in the weights of the approximated value function and the uncertainty in the transition probabilities, improving the robustness of the agent. We provide theoretical results for our approach and test the proposed algorithms on a continuous state domain.

In this paper, we present machine learning approaches for characterizing and forecasting the short-term demand for on-demand ride-hailing services. We propose the spatio-temporal estimation of the demand that is a function of variable effects related to traffic, pricing and weather conditions. With respect to the methodology, a single decision tree, bootstrap-aggregated (bagged) decision trees, random forest, boosted decision trees, and artificial neural network for regression have been adapted and systematically compared using various statistics, e.g. R-square, Root Mean Square Error (RMSE), and slope. To better assess the quality of the models, they have been tested on a real case study using the data of DiDi Chuxing, the main on-demand ride hailing service provider in China. In the current study, 199,584 time-slots describing the spatio-temporal ride-hailing demand has been extracted with an aggregated-time interval of 10 mins. All the methods are trained and validated on the basis of two independent samples from this dataset. The results revealed that boosted decision trees provide the best prediction accuracy (RMSE=16.41), while avoiding the risk of over-fitting, followed by artificial neural network (20.09), random forest (23.50), bagged decision trees (24.29) and single decision tree (33.55).

This paper presents a novel method for structural data recognition using a large number of graph models. In general, prevalent methods for structural data recognition have two shortcomings: 1) Only a single model is used to capture structural variation. 2) Naive recognition methods are used, such as the nearest neighbor method. In this paper, we propose strengthening the recognition performance of these models as well as their ability to capture structural variation. The proposed method constructs a large number of graph models and trains decision trees using the models. This paper makes two main contributions. The first is a novel graph model that can quickly perform calculations, which allows us to construct several models in a feasible amount of time. The second contribution is a novel approach to structural data recognition: graph model boosting. Comprehensive structural variations can be captured with a large number of graph models constructed in a boosting framework, and a sophisticated classifier can be formed by aggregating the decision trees. Consequently, we can carry out structural data recognition with powerful recognition capability in the face of comprehensive structural variation. The experiments shows that the proposed method achieves impressive results and outperforms existing methods on datasets of IAM graph database repository.

Microsoft is showcasing its latest innovations and e-government solutions at the fourth Qatar ICT Conference and Exhibition (Qitcom), which opened yesterday at the Qatar National Convention Centre. The three-day event, patronised by HH the Emir Sheikh Tamim bin Hamad al-Thani and HE the Prime Minister and Interior Minister Sheikh Abdullah bin Nasser bin Khalifa al-Thani, is organised by Qatar's Ministry of Transport and Communications (MoTC). Microsoft is demonstrating a range of solutions, covering artificial intelligence, mixed reality, the Internet of Things, machine learning, cyber-security, the cloud and big data, aimed at empowering Qatari organisations – regardless of size or industry – to achieve more through digital transformation. "Microsoft has a strong relationship with MoTC and we stand firmly behind the ministry and the government of Qatar as they work towards the Qatar National Vision 2030, launched by HH the Father Emir Sheikh Hamad bin Khalifa al-Thani," said Lana Khalaf, public sector director and acting country manager, Microsoft Qatar. The company, in conjunction with its strategic partners, crafted nine pilot solutions customised for Qatar and the challenges the nation faces as it builds a smart society.

The iPhone 8 is going to be bigger than any phone Apple has ever made, according to a new report. The company will make an iPhone 7s and 7s Plus, in the same sizes as the models they replace. But the real new phone will be the iPhone 8 – a phone much bigger even than the 7 Plus. The new phone's OLED screen will stretch across 5.8 inches of the front of the screen, according to a new report from Nikkei Asian Review. But the iPhone 8 will save space by getting rid of the bezels that wrap around the display on the front of the phone, allowing the screen to take up most of the handset's size.

We spoke to The Daily Beast to help make sense of ISIL's growing use of armed consumer drones in the conflict in Syria and Iraq. Meanwhile, we assisted The Verge in confirming that the jail sentence given to a Seattle man for crashing his drone during a parade was in fact unprecedented in the history of U.S. domestic drone use. A suspected U.S. drone strike in Pakistan killed two individuals near the border of Afghanistan. If confirmed, it would be the first U.S. drone strike in Pakistan under the Trump administration. The U.S. launched over 20 airstrikes in Yemen, targeting al-Qaeda in the Arab Peninsula.

Russia was preparing to display its military might to the world by showing off its latest weaponry: an updated version of its robot soldiers. The country's military was expected to fully participate in the upcoming ARMY-2017 International Military-Technical Forum this summer, according to Sputnik News. While details were scarce, Moscow debuted one of its fleet of military robots at least year's ARMY-2017. This year's forum will serve as a stage for Russia to showcase the latest developments it has made for its autonomous weapons of war. "The advanced development of the Russian Defense Ministry's Main Research and Testing Robotics Center will be demonstrated," Moscow's equivalent of the Pentagon said in a statement Monday.

Drone Guard can detect, identify and jam small USAVs using 3D radar and electro-optical sensors. "The jamming disrupts the drone's flight and either cause it to return to its point-of-origin or to shut down and make a crash landing," according to the AIA's press release. Nice shot of the improvised release mechanism ISIL is using to drop grenades from commercial off the shelf UAVs https://t.co/Lj8Ltx0arQ Recent images out of Iraq show that ISIS has used off-the-shelf drones from DJI and others not just for surveillance, but also bombing and one-time "suicide" explosive missions. According to Kurdish media outlet Rudaw, drones have used explosives and bombs to kills civilians and damage equipment.