San Francisco played host to Microsoft's Build Conference last week. It was with excitement and anticipation (plus a little envy) that I caught up with the keynotes and presentations online. And I wasn't disappointed – Microsoft has certainly made some clever moves to bring even better services to the development community with businesses likely to reap huge benefits. If you didn't have the time to either fly to San Francisco or watch the conference online, here are my key take outs that are likely to impact our clients in the near future: Microsoft has successfully removed the two major barriers to building apps for all mobile devices: cost and complexity. In February this year Microsoft announced the acquisition of Xamarin.

PITTSBURGH (KDKA) – Scientists say they have developed a new technique for identifying cancer cells in a blood sample more accurately and faster thanks to artificial intelligence. Researchers at the California NanoSystems Institute at UCLA developed the technique that combines a special microscope with an artificial intelligence algorithm to identify cancerous cells. Using the new method could reduce the time and energy to diagnose cancer, allowing doctors to treat it more quickly. The new microscope is called a photonic time stretch microscope, which uses nanosecond-long pulses of light to capture images of hundreds of thousands of cells per second. Researchers say it works by taking pictures of flowing blood cells, the way a camera uses a flash.

"Any sufficiently advanced technology is indistinguishable from magic" – Arthur Clarke In the space of technology, this quote has never been so true. Daily discoveries are not uncommon, with yearly revolutions seldom missed. Machine learning has recently been exploding in popularity, with everyone rushing to see how it can benefit their lives, but how did we get to this stage of innovation? This discovery process of machine learning is what you will learn from this article. I was surprised by how much I learned researching machine learning's upbringing, there is enough drama and action to write a novel about it.

The dates for Apple's developers' conference have been revealed by none other than Siri Apple is known for announcing new hardware and software by taking to the stage and giving its creations the star treatment. The iPhone, iPod and iPad were revealed this way, new versions of Mac and iOS software were revealed this way and, most recently, the iPhone SE was revealed this way. Every June, the tech giant introduces software improvements for its various products and this June is no different. Unfortunately for Apple, Siri just spilled the beans on where and when that presentation will take place: Apple's Worldwide Developers' Conference (WWDC) 2016 will take place June 13-17 in San Francisco. The WWDC keynote always takes place the first day of the conference.

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

Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations. The book will open the way for including causal analysis in the standard curricula of statistics, artificial intelligence, business, epidemiology, social sciences, and economics. Students in these fields will find natural models, simple inferential procedures, and precise mathematical definitions of causal concepts that traditional texts have evaded or made unduly complicated.

Gradient backpropagation (BP) requires symmetric feedforward and feedback connections — the same weights must be used for forward and backward passes. This "weight transport problem'' (Grossberg 1987) is thought to be one of the main reasons to doubt BP's biologically plausibility. Using 15 different classification datasets, we systematically investigate to what extent BP really depends on weight symmetry. In a study that turned out to be surprisingly similar in spirit to Lillicrap et al.'s demonstration (Lillicrap et al. 2014) but orthogonal in its results, our experiments indicate that: (1) the magnitudes of feedback weights do not matter to performance (2) the signs of feedback weights do matter — the more concordant signs between feedforward and their corresponding feedback connections, the better (3) with feedback weights having random magnitudes and 100% concordant signs, we were able to achieve the same or even better performance than SGD. (4) some normalizations/stabilizations are indispensable for such asymmetric BP to work, namely Batch Normalization (BN) (Ioffe and Szegedy 2015) and/or a "Batch Manhattan'' (BM) update rule.

We present a novel approach to account for preferences in a well known structured argumentation formalism, Assumption-Based Argumentation (ABA). The new formalism, called ABA+, incorporates object-level preferences (over assumptions) directly into the attack relation to reverse attacks. We give several basic desirable properties of ABA+.

Graphol is a visual language designed to help non-experts to understand and specify ontologies. Our language builds on the Entity-Relationship model, but has a formal semantics and higher expressiveness. Notably, OWL 2 can be completely encoded in Graphol. Thanks to the novel open-source Eddy ontology editor, designers can easily draw Graphol diagrams corresponding to OWL ontologies and export them into standard OWL 2 format. Both Graphol and Eddy have been used in several successful industrial projects and are currently under active development. This paper reports on our more recent progresses.

Knowledge graph embedding refers to projecting entities and relations in knowledge graph into continuous vector spaces. Current state-of-the-art models are translation-based model, which build embeddings by treating relation as translation from head entity to tail entity. However, previous models is too strict to model the complex and diverse entities and relations(e.g. symmetric/transitive/one-to-many/many-to-many relations). To address these issues, we propose a new principle to allow flexible translation between entity and relation vectors. We can design a novel score function to favor flexible translation for each translation-based models without increasing model complexity. To evaluate the proposed principle, we incorporate it into previous method and conduct triple classification on benchmark datasets. Experimental results show that the principle can remarkably improve the performance compared with several state-of-the-art baselines.