This paper presents a novel approach for localising a GPS (Global Positioning System)-denied Unmanned Aerial Vehicle (UAV) with the aid of a GPS-equipped UAV in three-dimensional space. The GPS-equipped UAV makes discrete-time broadcasts of its global coordinates. The GPS-denied UAV simultaneously receives the broadcast and takes direction of arrival (DOA) measurements towards the origin of the broadcast in its local coordinate frame (obtained via an inertial navigation system (INS)). The aim is to determine the difference between the local and global frames, described by a rotation and a translation. In the noiseless case, global coordinates were recovered exactly by solving a system of linear equations. When DOA measurements are contaminated with noise, rank relaxed semidefinite programming (SDP) and the Orthogonal Procrustes algorithm are employed. Simulations are provided and factors affecting accuracy, such as noise levels and number of measurements, are explored.

Headquartered in the US, with ecommerce sites in the UK, Australia, Germany, France, Italy and Canada, Cosabella decided to engage Adgorithms (the creator of Albert) out of frustration with its digital ad agency. "We know our brand best and communicating it to the advertising agency became time-consuming and difficult," Courtney Connell, marketing director of Cosabella, said, declining to name the agency as they really were "very lovely people" who she had no wish to disparage. Connell grew concerned when the retailer went through a flat quarter. "It was very scary, particularly when we enjoyed double-digit growth all the previous quarters." After parting ways with the agency, Connell looked around for alternatives and decided to try using an AI platform instead of building up a larger in-house team.

Serko, a corporate travel booking and expense management business, is like a baby, Kiwi version of Concur, the SAP-owned technology company that is a developer of software that help businesses manage travel expenses. Serko's travel booking tool is used by more than 60 percent of enterprise businesses in Australia and New Zealand. The world's largest travel management companies (namely, BCD Travel, American Express Global Business Travel, Carlson Wagonlit Travel, and Hogg Robinson Group) all resell Serko's tool to their customers in Asia Pacific. So it is of regional significance that Serko plans to unveil a fresh travel-and-expense management platform with artificial intelligence (AI) baked in. In July 2017, the company will release a corporate online booking user interface as an optional premium solution alongside its booking tool for its 3 million users.

If you take humans out of the driving seat, could traffic jams, accidents and high fuel bills become a thing of the past? As cars become more automated and connected, attention is turning to how to best choreograph the interaction between the tens or hundreds of automated vehicles that will one day share the same segment of Europe's road network. It is one of the most keenly studied fields in transport – how to make sure that automated cars get to their destinations safely and efficiently. But the prospect of having a multitude of vehicles taking decisions while interacting on Europe's roads is leading researchers to design new traffic management systems suitable for an era of connected transport. The idea is to ensure that traffic flows as smoothly and efficiently as possible, potentially avoiding the jams and delays caused by human behaviour.

So you got into law school? Congratulations, it's time to start thinking like an engineer. Universities around the world are introducing classes that train students in the use of legal software, assisting with anything from contract creation to legal research. But are students simply training the algorithms that will take their jobs? It's increasingly clear automation won't only affect manufacturing.

This paper analyses the DeGroot-Friedkin model for evolution of the individuals' social powers in a social network when the network topology varies dynamically (described by dynamic relative interaction matrices). The DeGroot-Friedkin model describes how individual social power (self-appraisal, self-weight) evolves as a network of individuals discuss a sequence of issues. We seek to study dynamically changing relative interactions because interactions may change depending on the issue being discussed. In order to explore the problem in detail, two different cases of issue-dependent network topologies are studied. First, if the topology varies between issues in a periodic manner, it is shown that the individuals' self-appraisals admit a periodic solution. Second, if the topology changes arbitrarily, under the assumption that each relative interaction matrix is doubly stochastic and irreducible, the individuals' self-appraisals asymptotically converge to a unique non-trivial equilibrium.

The goal of data clustering is to partition data points into groups to minimize a given objective function. While most existing clustering algorithms treat each data point as vector, in many applications each datum is not a vector but a point pattern or a set of points. Moreover, many existing clustering methods require the user to specify the number of clusters, which is not available in advance. This paper proposes a new class of models for data clustering that addresses set-valued data as well as unknown number of clusters, using a Dirichlet Process mixture of Poisson random finite sets. We also develop an efficient Markov Chain Monte Carlo posterior inference technique that can learn the number of clusters and mixture parameters automatically from the data. Numerical studies are presented to demonstrate the salient features of this new model, in particular its capacity to discover extremely unbalanced clusters in data.

Domino's Pizza has been a company willing to embrace technological change over the past few years. In 2015, it announced that customers could order pizza just by texting a pizza emoji to Domino's. Last November, it delivered a pizza by drone to a couple in New Zealand, claiming that it will be faster and safer as a drone delivery would not have to worry about traffic. Now Domino's is taking another step towards the future as it announced the DRU platform, which ZDNet describes as "an artificial intelligence (AI)-based technology that will allow customers to order a pizza using their voice." Customers could use their phone, computers, or virtual assistants like Amazon Alexa to order pizza, find opening hours, and browse through a menu. Domino's has been developing the DRU platform for years, and most companies obviously do not have the resources to make their own virtual assistants.

Some of the world's biggest leaders in science and technology including Stephen Hawking, Elon Musk, Steve Wozniak, and Bill Gates, have expressed their concerns about the rapid progression and evolution of Artificial Intelligence (AI). Elon Musk in a CNBC interview stated, "I think that the biggest risk is not that the AI will develop a will of its own… but rather that it will follow the will of people that establish its utility function." Movies like The Terminator, The Matrix, Ex Machina, 2001: A Space Odyssey amongst others, all point to the notion that artificial intelligence will evolve past human intelligence to the point that we will no longer be able to control our own creations. There is an ingrained narrative that AI will somehow reach a level of self-awareness and inevitably then attempt to destroy or replace the human race. And while some of these ideas may seem excessive, or merely the product of media and film exaggeration of AI leading to Terminator-like robots hunting humans like deer, there is enough concern amongst thought leaders such as those mentioned above, to make these concerns highly credible even if there is no certainty about them ever playing out.

The community is used by more than 800,000 data scientists. Google is set to acquire Kaggle, an Australia-based data science platform for running coding competition. The financial details about the acquisition have not been disclosed. Founded in 2010 by Anthony Goldbloom and Ben Hamner, Kaggle is a platform where data science and machine learning competitions are run. The platform is being used by more than 800,000 data scientists to explore, analyse and understand the latest updates in machine learning and data analytics.