This paper addresses the problem of blind demixing of instantaneous mixtures in a multiple-input multiple-output communication system. The main objective is to present efficient blind source separation (BSS) algorithms dedicated to moderate or high-order QAM constellations. Four new iterative batch BSS algorithms are presented dealing with the multimodulus (MM) and alphabet matched (AM) criteria. For the optimization of these cost functions, iterative methods of Givens and hyperbolic rotations are used. A pre-whitening operation is also utilized to reduce the complexity of design problem. It is noticed that the designed algorithms using Givens rotations gives satisfactory performance only for large number of samples. However, for small number of samples, the algorithms designed by combining both Givens and hyperbolic rotations compensate for the ill-whitening that occurs in this case and thus improves the performance. Two algorithms dealing with the MM criterion are presented for moderate order QAM signals such as 16-QAM. The other two dealing with the AM criterion are presented for high-order QAM signals. These methods are finally compared with the state of art batch BSS algorithms in terms of signal-to-interference and noise ratio, symbol error rate and convergence rate. Simulation results show that the proposed methods outperform the contemporary batch BSS algorithms.

This paper describes a new method for classifying a dataset that partitions elements into their categories. It has relations with neural networks but a slightly different structure, requiring only a single pass through the classifier to generate the weight sets. A grid-like structure is required as part of a novel idea of converting a 1-D row of real values into a 2-D structure of value bands. Each cell in any band then stores a distinct set of weights, to represent its own importance and its relation to each output category. During classification, all of the output weight lists can be retrieved and summed to produce a probability for what the correct output category is. The bands possibly work like hidden layers of neurons, but they are variable specific, making the process orthogonal. The construction process can be a single update process without iterations, making it potentially much faster. It can also be compared with k-NN and may be practical for partial or competitive updating.

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Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Anki has today unveiled their new creation in the form of Cozmo a friendly robot which is equipped with artificial intelligence, as well as a companion smartphone application. The new Cozmo robot is now available to preorder price to 160 offering a 20 saving of the retail price of 180 when the little robot launches later this year before the holiday season during October 2016. Check out the video below to learn more about the inspiration, design and technology that has been used to create Cosmo the interactive robot that is capable of expressing his feelings and playing with his power cubes. Anki explains more about their new pocket robot. Cozmo doesn't just move; he gets curious and explores.

Genpact (NYSE: G), a global leader in digitally-powered business process management and services, today launched its Neural Intelligence Platform that harnesses the power of artificial intelligence technologies, and brings middle and back office processing to the same level of digital automation as the front office to drive seamless customer journeys. Using a cognitive system powered by natural language processing, machine and deep learning techniques, the platform provides a versatile artificial intelligence-based capability that digitizes many business process solutions, including omni-channel management, contact center, account payable query management, and financial and accounting automation. The platform is the result of more than a decade of research and development in high performance business processing practices, recently crystallized into digital solutions through an aggressive build out of advanced technologies including robotic process automation, natural language processing, and machine learning. The platform also leverages Genpact's unique Lean DigitalSM approach that harnesses the combined power of process-centric technologies, design thinking, and deep domain expertise.

Genpact (NYSE: G), a global leader in digitally-powered business process management and services, today launched its Neural Intelligence Platform that harnesses the power of artificial intelligence technologies, and brings middle and back office processing to the same level of digital automation as the front office to drive seamless customer journeys. Using a cognitive system powered by natural language processing, machine and deep learning techniques, the platform provides a versatile artificial intelligence-based capability that digitizes many business process solutions, including omni-channel management, contact center, account payable query management, and financial and accounting automation. The platform automates and improves processes, continually learns, and even can help anticipate customers' needs. Enterprises struggle to effectively integrate digital technologies into business processes that cut across the company to deliver the right customer experience. Analytics also must drive more upstream decisions around product design, customer sentiment, and distribution chain visibility.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Soteria Intelligence is excited to announce the company's research and development focused on creating the next generation of social media threat intelligence solutions with the power to learn and become more effective over time. Instead of taking an approach that looks at combinations of keywords, conversations on a map or other social media analytics that produce a high number of recurring false positives, Soteria Intelligence is implementing machine learning to use false positives, vetted by analysts, as educational tools that continually improve system accuracy. The company is also training its system with proprietary data on past social media threats and, through the understanding of false positives and integration of historical data, combined with natural language processing, image recognition, sentiment analysis and other functionality, Soteria Intelligence is revolutionizing the way social media threats are identified and assessed. "As someone who has spent the past 10 years guiding large organizations throughout the world on complex social media initiatives while using social media analytics tools along the way, I understand where they shine and fall short. I also see what's needed to accurately identify threatening social media behavior on the horizon," stated Aaron Schoenberger, Founder and CEO of Soteria Intelligence.

Everything in the universe is made up of elementary particles, the most fundamental building blocks of nature. Quantum physics states pairs of particles and antiparticles can be created out of empty space - but exactly how this process happens is complex, which makes it difficult to model using classical computers. Now scientists have modelled the way particles are spontaneously created using a quantum computer, for the first time. Scientists have modelled the way particles are spontaneously created using a quantum computer, for the first time. Quantum computing takes advantage of the ability of subatomic particles to exist in more than one state at any time.