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US military orders design of combined human-robot squads

#artificialintelligence

Virginia-based private company Six3 Advanced Systems was awarded an $11-million fixed-fee contract "to design, develop, and validate system prototypes for a combined-arms squad, which combines humans and unmanned assets, ubiquitous communications and information," according to a Pentagon press release. Six3, a subsidiary to the major American defense contractor CACI International, provides sensor development and signal processing technologies for the US Intelligence Community and the military, according to Bloomberg. The statement added the next-generation system should bring "advanced capabilities in all domains to maximize squad performance in increasingly complex operational environments." The news follows scientific predictions that the future warfare will see extensive use of robotic platforms powered by artificial intelligence (AI) and equipped with next-generation weapons systems. Combat robots and military-use AI solutions will become an inherent part of the US military within the next 10-15 years, defense experts say.


HSBC to debut robo-advice investment service ยป Banking Technology

#artificialintelligence

The service will use data and algorithms and will make personal recommendations based on an individual's circumstances. It is expected to be available by the end of the year. The bank says this will "open up wealth management opportunities to those who thought it wasn't for them, thanks to a lower investment entry point". The timing is interesting, as recently HSBC published a research report that showed nearly four times as many people in the UK (41%) would trust a robot to perform heart surgery than open a bank savings account (12%). This is according to its study of 2,000 people in the UK into their trust in technology. In contrast to some extreme scenarios, like surgery and parachuting, just 12% of people would trust a robot to open a savings account for them and only 11% would trust them for mortgage advice.


Russian firm unveils plans for a self-driving taxi Yandex

Daily Mail - Science & tech

A Russian search firm is the latest to join the race to build a self-driving car. Yandex, which already operates a rideshare scheme to rival Uber in Moscow, has released footage of its first demonstration of the vehicle. And while the company may be late to enter the contest compared to its international opponents, it appears it may have what it takes to be a contender. Russia's largest technology firm Yandex, which already operates a rideshare scheme to rival Uber in Moscow, has released footage of its first demonstration of driverless technology (pictured) Yandex, which already operates a rideshare scheme to rival Uber in Moscow, has released footage of its first demonstration of driverless technology. In a video released yesterday a modified Toyota Prius can be seen picking up a passenger before winding its way through narrow streets to drop them off a their destination.


ICABiDAS: Intuition Centred Architecture for Big Data Analysis and Synthesis

arXiv.org Artificial Intelligence

Brain has intrigued researchers since the beginning of scientific endeavors. Firstly, beginning of computers saw the advent of exciting developments which culminated to the development of the new discipline of artificial neural networks (ANN). ANNs have been through several generations of major developments, with the recent phase consisting of spiking neural networks based works [1]. Another parallel field of computational neuroscience has been the bio-inspired cognitive architectures (BICA) [2] a field which got major thrust in development. Cognitive architecture (CA) in general and BICA in particular also has a long history and the efforts have been devoted towards trying to emulate the functioning of brain. CAs like SOAR and ACT-R have been under development for many decades and have been applied in various studies [3, 4].


WiFi based trajectory alignment, calibration and easy site survey using smart phones and foot-mounted IMUs

arXiv.org Machine Learning

Foot-mounted inertial positioning (FMIP) can face problems of inertial drifts and unknown initial states in real applications, which renders the estimated trajectories inaccurate and not obtained in a well defined coordinate system for matching trajectories of different users. In this paper, an approach adopting received signal strength (RSS) measurements for Wifi access points (APs) are proposed to align and calibrate the trajectories estimated from foot mounted inertial measurement units (IMUs). A crowd-sourced radio map (RM) can be built subsequently and can be used for fingerprinting based Wifi indoor positioning (FWIP). The foundation of the proposed approach is graph based simultaneously localization and mapping (SLAM). The nodes in the graph denote users poses and the edges denote the pairwise constrains between the nodes. The constrains are derived from: (1) inertial estimated trajectories; (2) vicinity in the RSS space. With these constrains, an error functions is defined. By minimizing the error function, the graph is optimized and the aligned/calibrated trajectories along with the RM are acquired. The experimental results have corroborated the effectiveness of the approach for trajectory alignment, calibration as well as RM construction.


Unsupervised Feature Selection Based on the Morisita Estimator of Intrinsic Dimension

arXiv.org Machine Learning

This paper deals with a new filter algorithm for selecting the smallest subset of features carrying all the information content of a data set (i.e. for removing redundant features). It is an advanced version of the fractal dimension reduction technique, and it relies on the recently introduced Morisita estimator of Intrinsic Dimension (ID). Here, the ID is used to quantify dependencies between subsets of features, which allows the effective processing of highly non-linear data. The proposed algorithm is successfully tested on simulated and real world case studies. Different levels of sample size and noise are examined along with the variability of the results. In addition, a comprehensive procedure based on random forests shows that the data dimensionality is significantly reduced by the algorithm without loss of relevant information. And finally, comparisons with benchmark feature selection techniques demonstrate the promising performance of this new filter.


Testing Quantum Models of Conjunction Fallacy on the World Wide Web

arXiv.org Artificial Intelligence

The 'conjunction fallacy' has been extensively debated by scholars in cognitive science and, in recent times, the discussion has been enriched by the proposal of modeling the fallacy using the quantum formalism. Two major quantum approaches have been put forward: the first assumes that respondents use a two-step sequential reasoning and that the fallacy results from the presence of 'question order effects'; the second assumes that respondents evaluate the cognitive situation as a whole and that the fallacy results from the 'emergence of new meanings', as an 'effect of overextension' in the conceptual conjunction. Thus, the question arises as to determine whether and to what extent conjunction fallacies would result from 'order effects' or, instead, from 'emergence effects'. To help clarify this situation, we propose to use the World Wide Web as an 'information space' that can be interrogated both in a sequential and non-sequential way, to test these two quantum approaches. We find that 'emergence effects', and not 'order effects', should be considered the main cognitive mechanism producing the observed conjunction fallacies.


Upcoming Meetings in Analytics, Big Data, Data Science, Machine Learning: June and Beyond

@machinelearnbot

Here are 110 upcoming meetings and conferences, for June 2017 and beyond. You can also find the latest list on KDnuggets Meetings page Color code: Business-Oriented meetings in Blue, Research meetings (with calls for papers and program committee) in green Top countries: India, France, Australia: 3 For the second month in a row, London is the top city: Washington DC, New Orleans, Houston, Chicago, Atlanta: 3 June 2017 Jun 1-2, Deep Learning in Finance Summit. Mention "KDNuggets" and save 18% on tickets. Use code KDNUGGETS to save 15%. Use code KDNUGGETS_DSC17 to save.


Samsung Galaxy S8 Review: 2017 Flagship Just Pretty Enough To Make You Think Twice

International Business Times

The Galaxy S8 and Galaxy S8 Plus have been on the market for just over one month and continue to be a hot topic among smartphone enthusiasts. Whether it's Samsung celebrating favorable sales of the handsets or hackers attempting to spoof the device's iris scanner, there is still a lot to say about the Galaxy S8. The smartphone introduces to Samsung's line a new design and new software features, such as the AI assistant Bixby. It also touts several feature improvements, including a sharper and faster camera and more efficient processors. Whether the Galaxy S8 is worth the buy is completely up to the consumer; however, there are many things to take into consideration when selecting a new premium smartphone. The Samsung Galaxy S8 is a beautiful smartphone. It stands out during a time when mobile devices have become just ubiquitous enough for many consumers to not care about design, and would rather just have a functional device.


5 HR Tech Trends Shaping Your Business

#artificialintelligence

Technology continues to drive and disrupt today's talent management strategies. As we move closer to the halfway point of 2017, we take a look at 5 key HR tech trends shaping your business. The widely publicised global data breach that affected the NHS last month highlights the very real risks to all businesses. After the talent shortage, PWC notes that cybersecurity is the second highest ranked concern for CEOs, with three quarters (76%) citing this it as a significant challenge in its annual CEO Survey. A UK government report also found that half of all businesses have experienced at least one data breach or cybersecurity attack in the past year, rising to two thirds of medium and large businesses.